{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-taylorwilsdon--google_workspace_mcp","slug":"taylorwilsdon--google_workspace_mcp","name":"google_workspace_mcp","type":"mcp","url":"https://workspacemcp.com","page_url":"https://unfragile.ai/taylorwilsdon--google_workspace_mcp","categories":["mcp-servers"],"tags":["ai","g-suite","gmail","google-calendar","google-chat","google-docs","google-drive","google-forms","google-sheets","google-tasks","google-workspace","gsuite","llm","llm-tools","mcp","mcp-server","model-context-protocol","model-context-protocol-server","model-context-protocol-servers","workspace"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-taylorwilsdon--google_workspace_mcp__cap_0","uri":"capability://tool.use.integration.multi.service.mcp.tool.registry.with.dynamic.tier.based.loading","name":"multi-service mcp tool registry with dynamic tier-based loading","description":"Exposes 90+ tools across 12 Google Workspace services (Gmail, Drive, Calendar, Docs, Sheets, Slides, Forms, Tasks, Chat, Custom Search, Contacts, Apps Script) through a unified MCP protocol interface. Uses a ToolTierLoader system defined in tool_tiers.yaml that dynamically imports tool modules based on CLI arguments (--tool-tier core/extended/complete), enabling selective capability exposure to manage API quota consumption and complexity. The tool registry is populated at server startup via dictionary mapping in main.py that conditionally imports service-specific tool modules based on configuration.","intents":["I want to expose only essential Gmail and Drive tools to reduce API quota usage while keeping the server lightweight","I need all 90+ tools available for a comprehensive AI assistant that handles every Workspace service","I'm building a multi-user deployment and need to control which services are accessible based on tenant permissions"],"best_for":["Teams deploying multi-user cloud instances who need granular control over API scope exposure","Solo developers building AI agents that interact with specific Workspace services without quota overhead","Organizations migrating legacy automation to MCP who need to incrementally enable service integrations"],"limitations":["Tool tier system is static at server startup — cannot dynamically switch tiers without restart","No per-user or per-tenant tool filtering at runtime — all loaded tools are available to all authenticated clients","Tool discovery by clients requires parsing MCP tool list; no built-in categorization or filtering hints in protocol response"],"requires":["Python 3.10+","MCP-compatible client (Claude Desktop, LM Studio, VS Code MCP Client)","Valid Google Workspace OAuth credentials for at least one service"],"input_types":["CLI arguments (--tool-tier, --tools, --transport)","Environment variables (.env file with GOOGLE_* credentials)"],"output_types":["MCP tool manifest (JSON schema of available tools with parameters)","Tool execution results from Google APIs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_1","uri":"capability://tool.use.integration.oauth.2.0.2.1.dual.mode.authentication.with.session.persistence","name":"oauth 2.0/2.1 dual-mode authentication with session persistence","description":"Implements both OAuth 2.0 legacy flow and OAuth 2.1 with session management, selectable via CLI flag (--single-user for desktop OAuth 2.0, multi-user for OAuth 2.1 with session context). Handles credential storage via a pluggable storage backend system and manages authentication state through service-specific decorators that inject credentials into tool execution contexts. The authentication system supports both single-user desktop flows (where credentials are stored locally) and multi-user cloud deployments (where session tokens are managed server-side).","intents":["I'm deploying this as a desktop Claude plugin and need simple OAuth 2.0 flow with local credential storage","I'm building a multi-user SaaS platform and need to manage separate OAuth sessions per tenant without credential leakage","I need to support both legacy OAuth 2.0 clients and modern OAuth 2.1 deployments in the same codebase"],"best_for":["Solo developers and small teams using Claude Desktop or local MCP clients","SaaS platforms requiring multi-tenant isolation with per-user Google Workspace credentials","Organizations with legacy OAuth 2.0 infrastructure migrating to OAuth 2.1 standards"],"limitations":["Credential storage backend is configurable but defaults to filesystem — no built-in encryption at rest","OAuth 2.1 session management requires external state store (not included) — must be configured separately","No automatic token refresh retry logic for expired sessions — clients must re-authenticate on 401 errors","Single-user mode stores credentials unencrypted in .env or local storage — unsuitable for shared machines"],"requires":["Google Cloud Project with OAuth 2.0 credentials (client_id, client_secret)","Redirect URI configured in Google Cloud Console matching deployment domain","Python 3.10+","Storage backend configured (filesystem, database, or custom implementation)"],"input_types":["OAuth authorization code (from browser redirect)","Refresh tokens (stored in backend)","Service account credentials (optional, for Apps Script)"],"output_types":["Access tokens (injected into Google API requests)","Session context (user_id, workspace_id, scopes)","Authentication errors (401, 403 with scope requirements)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_10","uri":"capability://tool.use.integration.google.chat.message.sending.and.conversation.management.with.thread.support","name":"google chat message sending and conversation management with thread support","description":"Exposes tools for sending messages to Chat spaces/direct messages, retrieving message history, and managing conversations with thread support. Uses Chat API's messages.create() to send messages with optional threading (parent message ID), and messages.list() to retrieve conversation history. Supports message formatting (bold, italic, code blocks) via Chat's message formatting syntax. Handles both space messages (group conversations) and direct messages (1-on-1 conversations).","intents":["I want Claude to send notifications or updates to a Chat space without manual intervention","I need to retrieve conversation history from a Chat thread and analyze the discussion","I want to create a Chat bot that responds to messages in a space or direct message"],"best_for":["Teams using Claude to automate Chat notifications and updates","Chat bot developers building conversational workflows","Organizations automating internal communication via Chat integration"],"limitations":["Message editing is not supported — sent messages cannot be modified","Message deletion is not supported — sent messages cannot be removed","Reactions (emoji) are not supported — cannot add reactions to messages","File uploads are not supported via Chat API — must be uploaded separately to Drive","Real-time message streaming is not available — polling required to check for new messages"],"requires":["Google Chat API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/chat.messages (or chat.messages.readonly for read-only)","Valid Google account with OAuth credentials","Chat space or direct message ID"],"input_types":["Space ID or user ID (for direct messages)","Message text (with optional formatting)","Parent message ID (for threading)","Message formatting (bold, italic, code blocks)"],"output_types":["Message ID (for sent messages)","Message content (text, formatting, metadata)","Conversation history (list of messages in thread)","Message metadata (sender, timestamp, thread ID)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_11","uri":"capability://tool.use.integration.google.contacts.contact.management.with.custom.fields.and.group.organization","name":"google contacts contact management with custom fields and group organization","description":"Provides tools for creating contacts with name, email, phone, and custom fields, organizing contacts into groups, and retrieving contact information. Uses People API's people.createContact() and people.updateContact() to manage contact data, supporting custom fields for additional metadata. Handles contact groups via contactGroups.create() and contactGroups.update(). Retrieves contacts via people.listConnections() with optional filtering by group or search query.","intents":["I want Claude to create a new contact with email and phone information without manual entry","I need to organize contacts into groups (e.g., 'Vendors', 'Team Members') for easy management","I want to retrieve contact information and use it for email or calendar operations"],"best_for":["Sales teams using Claude to manage contact databases and organize leads","Individual contributors automating contact creation and organization","Automation workflows that create contacts based on external data sources"],"limitations":["Contact photos cannot be uploaded via API — must be added manually in UI","Bulk contact operations require sequential API calls — importing many contacts is slow","Contact deduplication is not supported — duplicate contacts must be merged manually","Contact history/audit trail is not available — cannot track changes to contact data","Custom fields are limited to predefined types — arbitrary field creation not supported"],"requires":["Google People API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/contacts (or contacts.readonly for read-only)","Valid Google account with OAuth credentials","Python 3.10+"],"input_types":["Contact name, email, phone","Custom field data","Group name (for organization)","Search query (for retrieval)"],"output_types":["Contact ID (for newly created contacts)","Contact information (name, email, phone, custom fields)","Contact list (with filtering by group)","Group information (group ID, member count)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_12","uri":"capability://tool.use.integration.google.apps.script.execution.with.custom.function.invocation.and.error.handling","name":"google apps script execution with custom function invocation and error handling","description":"Exposes tools for executing Google Apps Script functions deployed as web apps or bound to Workspace documents. Uses Apps Script API's scripts.run() to invoke custom functions with parameters, returning results or error details. Supports both synchronous execution (wait for result) and asynchronous patterns (trigger and poll). Handles error reporting with stack traces and execution logs. Enables Claude to extend Workspace capabilities with custom logic without modifying the MCP server.","intents":["I want Claude to execute custom business logic (e.g., data validation, complex calculations) via Apps Script","I need to trigger automated workflows (e.g., data sync, report generation) from Claude without building custom integrations","I want to extend Workspace capabilities with custom functions that Claude can invoke"],"best_for":["Organizations with existing Apps Script infrastructure who want to expose custom functions to Claude","Teams building complex automation workflows that require custom logic beyond standard Workspace APIs","Developers extending Workspace capabilities with domain-specific functions"],"limitations":["Apps Script execution has a 6-minute timeout — long-running operations must be async","Execution results are limited to JSON-serializable types — complex objects must be converted","Error handling requires Apps Script to return structured error objects — poor error reporting from malformed scripts","Concurrent executions are rate-limited — high-volume invocations may queue or fail","Apps Script deployment requires manual setup — not automated by MCP server"],"requires":["Google Apps Script project created and deployed as web app or bound to document","Apps Script API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/script.projects (or script.projects.readonly for read-only)","Valid Google account with OAuth credentials","Python 3.10+"],"input_types":["Script project ID or deployment ID","Function name","Function parameters (JSON-serializable types)"],"output_types":["Function result (JSON-serializable return value)","Execution logs (console output from script)","Error details (stack trace, error message)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_13","uri":"capability://search.retrieval.google.custom.search.integration.with.web.search.and.site.specific.search","name":"google custom search integration with web search and site-specific search","description":"Exposes tools for performing web searches using Google Custom Search Engine (CSE), with support for site-specific searches and result filtering. Uses Custom Search API's cse.list() to execute searches with optional site restrictions, returning ranked results with titles, snippets, and URLs. Supports pagination for large result sets and filtering by content type (web pages, images, PDFs). Enables Claude to search the web or specific sites for information without leaving the conversation.","intents":["I want Claude to search the web for information and incorporate findings into documents or emails","I need to search a specific website or knowledge base for relevant content","I want to retrieve search results and analyze them programmatically"],"best_for":["Knowledge workers using Claude to research topics and incorporate findings","Teams building AI agents that need web search capabilities","Organizations searching internal knowledge bases or documentation sites"],"limitations":["Custom Search Engine requires setup and configuration — not available out-of-the-box","Free tier is limited to 100 queries/day — production use requires paid subscription","Search results are limited to 10 per page — pagination required for large result sets","Real-time search results may be stale — indexing lag of hours or days","Site-specific search requires CSE configuration per site — cannot dynamically search arbitrary domains"],"requires":["Google Custom Search Engine created and configured","Custom Search API enabled in Google Cloud Project","API key or OAuth credentials","Python 3.10+"],"input_types":["Search query string","Site restriction (optional, for site-specific search)","Result limit (1-10 per page)","Content type filter (optional)"],"output_types":["Search results (list of pages with title, snippet, URL)","Result metadata (rank, relevance score)","Pagination tokens (for retrieving additional results)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_14","uri":"capability://tool.use.integration.mcp.protocol.transport.abstraction.with.stdio.and.http.server.modes","name":"mcp protocol transport abstraction with stdio and http server modes","description":"Implements a transport abstraction layer that supports both stdio (for local MCP clients like Claude Desktop) and HTTP server modes (for remote clients). Uses SecureFastMCP class extending FastMCP to handle MCP protocol messages, with configurable transport via CLI flag (--transport stdio or streamable-http). The HTTP server mode exposes MCP endpoints for remote clients, while stdio mode communicates via stdin/stdout for local integration. Handles protocol serialization, message routing, and error responses transparently.","intents":["I want to run this MCP server locally with Claude Desktop using stdio transport","I need to deploy this MCP server as a cloud service accessible to remote MCP clients","I want to switch between local and remote deployment modes without code changes"],"best_for":["Solo developers using Claude Desktop who need local MCP integration","Teams deploying MCP servers to cloud infrastructure for multi-user access","Organizations requiring both local and remote deployment flexibility"],"limitations":["Stdio transport is single-client only — cannot serve multiple concurrent connections","HTTP server mode requires external reverse proxy for TLS/HTTPS — not built-in","Message size limits apply to both transports — very large payloads may fail","No built-in rate limiting or authentication at transport layer — must be configured separately","Switching transports requires server restart — no hot-swapping"],"requires":["Python 3.10+","MCP-compatible client (Claude Desktop, LM Studio, VS Code MCP Client)","For HTTP mode: network connectivity and port availability"],"input_types":["CLI flag: --transport (stdio or streamable-http)","MCP protocol messages (JSON-RPC format)","Tool invocation requests"],"output_types":["MCP protocol responses (JSON-RPC format)","Tool execution results","Error responses with error codes"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_15","uri":"capability://safety.moderation.credential.storage.backend.abstraction.with.pluggable.implementations","name":"credential storage backend abstraction with pluggable implementations","description":"Implements a pluggable credential storage system that abstracts the underlying storage mechanism (filesystem, database, cloud secret manager). Supports multiple backend implementations configured via environment variables or configuration files, enabling operators to choose storage based on deployment requirements. Handles credential encryption, rotation, and secure retrieval. The abstraction layer allows new storage backends to be added without modifying core authentication logic.","intents":["I want to store OAuth credentials securely in a cloud secret manager for production deployment","I need to use a database backend for multi-user credential storage with audit logging","I want to switch storage backends between development (filesystem) and production (cloud) without code changes"],"best_for":["Teams deploying MCP servers to production who need secure credential storage","Organizations with existing secret management infrastructure (AWS Secrets Manager, Azure Key Vault, etc.)","Multi-tenant deployments requiring per-user credential isolation"],"limitations":["Default filesystem backend stores credentials unencrypted — unsuitable for production","Credential rotation is not automated — must be managed externally","Storage backend configuration is static at startup — cannot switch backends at runtime","No built-in audit logging — credential access is not tracked","Custom backend implementations require Python code — no configuration-only backends"],"requires":["Python 3.10+","Storage backend configured (filesystem, database, or cloud secret manager)","Credentials for the chosen backend (e.g., AWS IAM role for Secrets Manager)"],"input_types":["Storage backend type (filesystem, database, cloud)","Backend configuration (connection strings, credentials)","Credential data (OAuth tokens, refresh tokens)"],"output_types":["Stored credential reference (ID or key)","Retrieved credentials (access tokens, refresh tokens)","Storage status (success, error)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_16","uri":"capability://safety.moderation.error.handling.and.retry.logic.with.exponential.backoff.and.rate.limit.recovery","name":"error handling and retry logic with exponential backoff and rate limit recovery","description":"Implements comprehensive error handling with automatic retry logic for transient failures (rate limits, temporary API outages). Uses exponential backoff strategy with jitter to avoid thundering herd problems when retrying failed requests. Distinguishes between retryable errors (429 rate limit, 503 service unavailable) and permanent errors (401 auth failure, 404 not found), applying appropriate recovery strategies. Includes configurable retry limits and backoff parameters to balance reliability with latency.","intents":["I want the MCP server to automatically retry failed API calls instead of failing immediately","I need to handle rate limiting gracefully without overwhelming the Google APIs","I want to distinguish between transient failures (retry) and permanent errors (fail fast)"],"best_for":["Production deployments requiring high reliability and graceful degradation","High-volume automation workflows that need to handle rate limiting","Teams building AI agents that need resilient API interactions"],"limitations":["Retry logic is applied at the tool level — some operations may not be idempotent","Exponential backoff may introduce significant latency for heavily rate-limited APIs","Retry configuration is global — cannot customize per-tool or per-API","No circuit breaker pattern — repeated failures don't prevent subsequent attempts","Retry metrics are not exposed — no visibility into retry frequency or success rates"],"requires":["Python 3.10+","Configurable retry parameters (max retries, backoff multiplier, jitter)"],"input_types":["API request (to be retried on failure)","Error response (to determine retry strategy)"],"output_types":["Successful API response (after retries)","Permanent error (after max retries or non-retryable error)","Retry metadata (attempt count, backoff duration)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_2","uri":"capability://tool.use.integration.gmail.message.search.retrieval.and.composition.with.thread.context","name":"gmail message search, retrieval, and composition with thread context","description":"Provides tools for querying Gmail using Google's search syntax (labels, from:, to:, subject:, date ranges), retrieving full message threads with headers and body content, and composing/sending emails with attachment support. Implements thread-aware context retrieval that loads entire conversation histories, enabling AI assistants to understand email context before responding. Uses Gmail API's messages.list() with query parameters and messages.get() with format=full to extract structured message data including MIME parts, headers, and thread IDs.","intents":["I want Claude to search my inbox for emails matching specific criteria and summarize the conversation","I need to generate email drafts based on conversation context without sending them immediately","I want to retrieve entire email threads to provide full conversation history to an AI assistant for context-aware responses"],"best_for":["Knowledge workers using Claude Desktop to manage email workflows and draft responses","AI agents that need to understand email context before taking actions (forwarding, filtering, responding)","Teams building email-aware chatbots that require full conversation history for accurate responses"],"limitations":["Search queries use Gmail's native syntax — complex boolean logic requires understanding Gmail search operators","Message retrieval is limited to authenticated user's mailbox — cannot access shared mailboxes or delegation","Attachment handling is read-only for retrieval; composition supports attachments but requires file paths on server","Large threads (100+ messages) may hit API rate limits or timeout; pagination required for bulk operations","Draft composition does not support scheduling or conditional send logic"],"requires":["Gmail API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/gmail.modify (or readonly for read-only operations)","Valid Gmail account with OAuth credentials","Python 3.10+"],"input_types":["Gmail search query string (e.g., 'from:user@example.com subject:urgent')","Message ID or thread ID","Email composition parameters (to, subject, body, attachments)"],"output_types":["Message list with metadata (sender, subject, date, snippet)","Full message content (headers, MIME parts, body text/HTML)","Thread context (all messages in conversation)","Draft ID (for unsent messages)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_3","uri":"capability://tool.use.integration.google.drive.file.operations.with.recursive.folder.traversal.and.permission.management","name":"google drive file operations with recursive folder traversal and permission management","description":"Exposes tools for listing files/folders with recursive traversal, searching by name/MIME type, uploading files, creating folders, and managing sharing permissions. Uses Drive API's files.list() with pageToken-based pagination and supports recursive folder traversal via recursive queries or manual parent-child navigation. Permission management includes sharing files with users/groups, setting role-based access (viewer, commenter, editor), and managing public sharing settings. Implements efficient querying via MIME type filters and parent folder IDs to avoid full-drive scans.","intents":["I want to search my Drive for a specific document and share it with a team member without leaving Claude","I need to organize files by creating folder structures and moving documents programmatically","I want to audit who has access to sensitive documents and revoke permissions for inactive users"],"best_for":["Teams managing shared document repositories who need AI-assisted file organization and permission audits","Solo users automating file management tasks (organizing, sharing, archiving) via Claude","Organizations building document governance workflows that require programmatic permission management"],"limitations":["Recursive folder traversal requires multiple API calls per level — deep folder hierarchies (10+ levels) may hit rate limits","Permission changes are eventually consistent — newly shared files may not be immediately accessible to recipients","Batch operations (move/delete multiple files) require sequential API calls; no atomic multi-file transactions","Shared drives and team drives have different permission models — tool behavior differs based on drive type","File upload is limited to files accessible on the server filesystem — cannot upload from arbitrary URLs"],"requires":["Google Drive API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/drive (or drive.readonly for read-only operations)","Valid Google account with OAuth credentials","Python 3.10+"],"input_types":["File/folder name or ID","MIME type filter (e.g., 'application/vnd.google-apps.document')","Parent folder ID for hierarchical navigation","User email or group email for permission sharing","File path (for uploads)"],"output_types":["File/folder metadata (name, ID, MIME type, created date, owner)","File list with pagination tokens","Permission list (users, roles, sharing status)","Folder structure (recursive tree representation)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_4","uri":"capability://tool.use.integration.google.calendar.event.creation.retrieval.and.attendee.management.with.timezone.handling","name":"google calendar event creation, retrieval, and attendee management with timezone handling","description":"Provides tools for creating calendar events with attendee lists, retrieving events within date ranges, updating event details, and managing attendee responses (accept/decline/tentative). Handles timezone conversion automatically by accepting timezone-aware datetime strings and converting to RFC 3339 format required by Calendar API. Supports recurring events via recurrence rules (RRULE), event notifications, and attendee availability queries. Uses Calendar API's events.insert(), events.get(), events.update(), and events.list() with time-based filtering.","intents":["I want Claude to check my calendar availability and schedule a meeting with attendees across multiple timezones","I need to create recurring events (weekly standups, monthly reviews) with specific attendee lists","I want to retrieve my calendar for a date range and identify conflicts before proposing new meeting times"],"best_for":["Distributed teams using Claude to coordinate meetings across timezones without manual scheduling","Individual contributors automating calendar management and availability checking","AI agents that need to understand user availability before proposing meeting times"],"limitations":["Timezone handling requires explicit timezone specification — ambiguous times may be interpreted incorrectly","Attendee availability queries require separate API calls per attendee — bulk availability checks are slow","Recurring event modifications apply to all future instances or single instance only — no selective range updates","Calendar sharing permissions are separate from event permissions — shared calendars may not be accessible","Event notifications are limited to predefined options (email, popup) — custom notification logic not supported"],"requires":["Google Calendar API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/calendar (or calendar.readonly for read-only)","Valid Google account with OAuth credentials","Python 3.10+"],"input_types":["Event title, description, start/end times (with timezone)","Attendee email addresses","Date range for event retrieval","Recurrence rule (RRULE format)","Calendar ID (for multi-calendar support)"],"output_types":["Event details (title, time, attendees, location, description)","Event list for date range","Attendee response status (accepted, declined, tentative)","Calendar availability (free/busy status)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_5","uri":"capability://tool.use.integration.google.docs.document.creation.editing.and.collaborative.revision.tracking","name":"google docs document creation, editing, and collaborative revision tracking","description":"Provides tools for creating new Google Docs, appending/inserting text content, applying formatting (bold, italic, headings), and retrieving document content with revision history. Uses Docs API's batchUpdate() method to execute multiple document mutations in a single request, enabling efficient multi-step edits. Supports collaborative features like suggestion mode (tracked changes) and comment insertion. Retrieves document structure including headings, tables, and formatting via the documents.get() method with full document representation.","intents":["I want Claude to create a new document and populate it with structured content (headings, lists, tables)","I need to append text to an existing document and apply formatting without manually editing","I want to track changes made by Claude in suggestion mode so I can review before accepting edits"],"best_for":["Content creators using Claude to draft documents and apply formatting programmatically","Teams using suggestion mode to review AI-generated content before publishing","Automation workflows that generate reports or documents from structured data"],"limitations":["Batch mutations are applied sequentially — complex multi-step edits may require multiple batchUpdate calls","Document structure is returned as nested JSON — parsing complex documents (tables, images) requires custom logic","Suggestion mode requires manual review in Google Docs UI — no programmatic acceptance/rejection","Image insertion is not supported via Docs API — images must be added manually or via Drive integration","Real-time collaboration conflicts are not handled — concurrent edits may overwrite each other"],"requires":["Google Docs API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/documents (or documents.readonly for read-only)","Valid Google account with OAuth credentials","Python 3.10+"],"input_types":["Document title (for creation)","Document ID (for editing)","Text content to insert/append","Formatting specifications (bold, italic, heading level)","Suggestion mode flag"],"output_types":["Document ID (for newly created documents)","Document content (full text with structure)","Revision history (list of changes with timestamps)","Formatted document representation (JSON)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_6","uri":"capability://tool.use.integration.google.sheets.cell.operations.with.formula.support.and.data.validation","name":"google sheets cell operations with formula support and data validation","description":"Exposes tools for reading/writing cell ranges, executing formulas, applying data validation rules, and managing sheet structure (add/delete rows/columns). Uses Sheets API's batchUpdate() for efficient multi-cell operations and values.batchGet() for retrieving ranges. Supports formula insertion (e.g., =SUM(), =VLOOKUP()) with automatic recalculation, and data validation rules (dropdown lists, number ranges, custom formulas). Handles both A1 notation and grid coordinates for cell addressing.","intents":["I want Claude to populate a spreadsheet with calculated data and apply formulas without manual entry","I need to validate data entry with dropdown lists and number ranges to ensure data quality","I want to retrieve specific cell ranges and perform calculations on the data programmatically"],"best_for":["Data analysts using Claude to automate spreadsheet calculations and data entry","Teams building data validation workflows with programmatic rule enforcement","Automation systems that generate reports by populating spreadsheet templates"],"limitations":["Formula execution is asynchronous — formulas are inserted but recalculation timing is not guaranteed","Data validation rules are applied at the cell level — complex conditional validation requires custom logic","Large range operations (1000+ cells) may hit API rate limits — batch operations should be chunked","Pivot tables and charts are not supported via Sheets API — must be created manually in UI","Conditional formatting is limited to predefined rules — custom formatting logic not supported"],"requires":["Google Sheets API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/spreadsheets (or spreadsheets.readonly for read-only)","Valid Google account with OAuth credentials","Python 3.10+"],"input_types":["Spreadsheet ID","Sheet name or ID","Cell range (A1 notation or grid coordinates)","Cell values (strings, numbers, formulas)","Data validation rules (dropdown, number range, custom formula)"],"output_types":["Cell values (with types: string, number, formula result)","Range data (2D array of values)","Validation rules (applied to cells)","Sheet metadata (row/column count, properties)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_7","uri":"capability://tool.use.integration.google.slides.presentation.creation.and.slide.manipulation.with.layout.support","name":"google slides presentation creation and slide manipulation with layout support","description":"Provides tools for creating presentations, adding slides with predefined layouts, inserting text/shapes, and managing slide properties. Uses Slides API's batchUpdate() to execute multiple slide mutations in a single request, supporting operations like adding text boxes, shapes, and images. Handles slide layouts (title slide, bullet points, blank) and theme application. Retrieves presentation structure including slide order, elements, and formatting via presentations.get().","intents":["I want Claude to create a presentation from scratch with multiple slides and formatted content","I need to add slides to an existing presentation with specific layouts and text content","I want to retrieve presentation structure and modify slide order or content programmatically"],"best_for":["Content creators using Claude to generate presentations from structured data","Automation workflows that create reports or proposals as slide decks","Teams building presentation templates that Claude can populate with data"],"limitations":["Batch mutations are applied sequentially — complex multi-slide edits may require multiple batchUpdate calls","Image insertion requires URLs or Drive file IDs — cannot embed images directly from local files","Slide layouts are limited to predefined templates — custom layout design not supported","Animations and transitions are not supported via Slides API — must be added manually in UI","Collaborative editing conflicts are not handled — concurrent edits may overwrite each other"],"requires":["Google Slides API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/presentations (or presentations.readonly for read-only)","Valid Google account with OAuth credentials","Python 3.10+"],"input_types":["Presentation title (for creation)","Presentation ID (for editing)","Slide layout type (title, bullet, blank)","Text content for slides","Image URLs or Drive file IDs"],"output_types":["Presentation ID (for newly created presentations)","Slide IDs (for newly added slides)","Presentation structure (slide order, elements, formatting)","Slide properties (layout, theme, dimensions)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_8","uri":"capability://tool.use.integration.google.forms.form.creation.and.response.collection.with.conditional.logic","name":"google forms form creation and response collection with conditional logic","description":"Exposes tools for creating forms with various question types (multiple choice, short answer, paragraph, dropdown, linear scale), configuring conditional branching (show question based on previous answer), and retrieving form responses. Uses Forms API's batchUpdate() to create questions and configure form logic, and responses.list() to retrieve submitted responses. Supports form settings like required questions, answer shuffling, and response collection limits.","intents":["I want Claude to create a survey form with branching logic based on respondent answers","I need to collect responses from a form and analyze the data programmatically","I want to generate a feedback form with conditional questions that adapt based on previous responses"],"best_for":["Researchers and product teams using Claude to design surveys with conditional logic","Automation workflows that collect feedback or data via forms","Teams building dynamic forms that adapt based on user responses"],"limitations":["Conditional branching is limited to show/hide logic — complex skip patterns require manual configuration","Response analysis requires separate data processing — no built-in analytics or aggregation","Form editing after responses are collected may invalidate response data — careful versioning required","File upload questions are not supported — forms cannot collect file submissions","Real-time response notifications are not available — polling required to check for new responses"],"requires":["Google Forms API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/forms (or forms.readonly for read-only)","Valid Google account with OAuth credentials","Python 3.10+"],"input_types":["Form title and description","Question type (multiple choice, short answer, paragraph, dropdown, linear scale)","Question text and options","Conditional branching rules (if answer X, show question Y)","Form settings (required questions, shuffling, response limits)"],"output_types":["Form ID (for newly created forms)","Form URL (for sharing with respondents)","Form structure (questions, options, conditional logic)","Form responses (list of submitted answers with timestamps)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-taylorwilsdon--google_workspace_mcp__cap_9","uri":"capability://tool.use.integration.google.tasks.task.list.management.with.hierarchical.subtasks.and.due.dates","name":"google tasks task list management with hierarchical subtasks and due dates","description":"Provides tools for creating task lists, adding tasks with due dates and descriptions, organizing tasks into hierarchical subtasks, and managing task status (needs action, completed). Uses Tasks API's tasks.insert() and tasks.update() to create and modify tasks, supporting parent-child relationships for subtasks. Handles task properties like due dates, notes, and completion status. Retrieves task lists and tasks within lists via tasks.list() with optional filtering by status.","intents":["I want Claude to create a task list for a project and break it down into subtasks with due dates","I need to retrieve my tasks and mark them complete based on external events or triggers","I want to organize tasks hierarchically and track progress on complex projects"],"best_for":["Project managers using Claude to create and manage task hierarchies","Individual contributors automating task creation and status updates","Automation workflows that generate tasks based on external events or data"],"limitations":["Subtask depth is limited to two levels (task and subtask) — deeper hierarchies not supported","Task assignment to other users is not supported — all tasks are personal","Recurring tasks are not supported — must be created manually for each occurrence","Task dependencies (task B cannot start until task A is complete) are not enforced","Bulk operations require sequential API calls — updating many tasks is slow"],"requires":["Google Tasks API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/tasks (or tasks.readonly for read-only)","Valid Google account with OAuth credentials","Python 3.10+"],"input_types":["Task list name (for creation)","Task title and description","Due date (ISO 8601 format)","Parent task ID (for subtasks)","Task status (needsAction, completed)"],"output_types":["Task list ID (for newly created lists)","Task ID (for newly created tasks)","Task list contents (tasks with metadata)","Task status (completed, pending)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":50,"verified":false,"data_access_risk":"high","permissions":["Python 3.10+","MCP-compatible client (Claude Desktop, LM Studio, VS Code MCP Client)","Valid Google Workspace OAuth credentials for at least one service","Google Cloud Project with OAuth 2.0 credentials (client_id, client_secret)","Redirect URI configured in Google Cloud Console matching deployment domain","Storage backend configured (filesystem, database, or custom implementation)","Google Chat API enabled in Google Cloud Project","OAuth scope: https://www.googleapis.com/auth/chat.messages (or chat.messages.readonly for read-only)","Valid Google account with OAuth credentials","Chat space or direct message ID"],"failure_modes":["Tool tier system is static at server startup — cannot dynamically switch tiers without restart","No per-user or per-tenant tool filtering at runtime — all loaded tools are available to all authenticated clients","Tool discovery by clients requires parsing MCP tool list; no built-in categorization or filtering hints in protocol response","Credential storage backend is configurable but defaults to filesystem — no built-in encryption at rest","OAuth 2.1 session management requires external state store (not included) — must be configured separately","No automatic token refresh retry logic for expired sessions — clients must re-authenticate on 401 errors","Single-user mode stores credentials unencrypted in .env or local storage — unsuitable for shared machines","Message editing is not supported — sent messages cannot be modified","Message deletion is not supported — sent messages cannot be removed","Reactions (emoji) are not supported — cannot add reactions to messages","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.5445466963379593,"quality":0.5,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.064Z","last_scraped_at":"2026-05-03T13:56:59.049Z","last_commit":"2026-05-02T23:25:49Z"},"community":{"stars":2273,"forks":701,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=taylorwilsdon--google_workspace_mcp","compare_url":"https://unfragile.ai/compare?artifact=taylorwilsdon--google_workspace_mcp"}},"signature":"f7GKnjqzvpGeDka3btoj35JDrI7L9ctkuxOLLXcV7E9r5bOQpzKFG8Bz0gRJp4BmxcvS0dgrzQEZep7Xnl8EDQ==","signedAt":"2026-06-21T16:13:51.137Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/taylorwilsdon--google_workspace_mcp","artifact":"https://unfragile.ai/taylorwilsdon--google_workspace_mcp","verify":"https://unfragile.ai/api/v1/verify?slug=taylorwilsdon--google_workspace_mcp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}