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Implements the Model Context Protocol specification to translate Claude/LLM tool calls into authenticated Google Workspace API requests, handling OAuth2 credential management and resource serialization into context-compatible formats for LLM consumption.","intents":["I want Claude to read and analyze my Google Docs without manual copy-paste","I need an LLM agent to query data from my Google Sheets and generate reports","I want to build a chatbot that can access my team's shared Drive documents","I need to automate document processing workflows using Claude with live Google Workspace data"],"best_for":["Teams building Claude-powered productivity agents","Developers integrating LLMs into existing Google Workspace workflows","Non-technical users wanting to connect Claude to their Google account via MCP clients"],"limitations":["Requires Google Cloud OAuth2 setup and credential configuration — not zero-config","MCP protocol support limited to clients implementing the spec (Claude Desktop, some IDEs)","No built-in caching of document contents — each LLM request fetches fresh data from Google APIs","Rate-limited by Google Workspace API quotas (typically 1000 requests/100 seconds per user)"],"requires":["Node.js 16+","Google Cloud project with Workspace APIs enabled","OAuth2 credentials (service account or user credentials)","MCP-compatible client (Claude Desktop, Cline, etc.)"],"input_types":["MCP tool call requests (JSON)","Google Workspace resource IDs (document IDs, sheet IDs, file paths)"],"output_types":["Document content (text/markdown)","Spreadsheet data (structured JSON/CSV)","File metadata and listings","Presentation slide content"],"categories":["tool-use-integration","productivity-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-geobio-google-workspace-server__cap_1","uri":"capability://data.processing.analysis.google.docs.content.retrieval.and.streaming","name":"google docs content retrieval and streaming","description":"Fetches Google Docs documents by ID and converts them to plain text or markdown format for LLM consumption. Uses Google Docs API to parse document structure (headings, lists, tables, formatting) and serializes into a flat text representation that preserves semantic structure while remaining context-efficient for token budgets.","intents":["I want Claude to read a specific Google Doc and answer questions about its content","I need to extract text from a Google Doc for processing or analysis","I want to check if a document has been updated and get its current content"],"best_for":["Developers building document analysis agents","Teams automating document review workflows","Users wanting to query their own Google Docs via Claude"],"limitations":["Formatting information (colors, fonts, styles) is lost in text conversion — only semantic structure preserved","Comments and revision history not accessible through this capability","Large documents (>100k tokens) may exceed LLM context windows","Images embedded in Docs are not extracted or described"],"requires":["Google Docs API enabled in Cloud project","Read access to the target document (via OAuth2 or service account)","Document ID (from Google Docs URL)"],"input_types":["Google Docs document ID (string)"],"output_types":["Plain text content","Markdown-formatted content with heading hierarchy"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-geobio-google-workspace-server__cap_2","uri":"capability://data.processing.analysis.google.sheets.data.querying.and.cell.access","name":"google sheets data querying and cell access","description":"Queries Google Sheets by sheet ID and range, returning cell values in structured JSON format. Implements range-based queries (e.g., 'Sheet1!A1:C10') using Google Sheets API to fetch live data, with optional header row detection for converting rows into key-value objects for easier LLM reasoning over tabular data.","intents":["I want Claude to read specific cells from my Google Sheet and perform calculations","I need to extract a table from a Sheet and have Claude analyze it","I want to query a Sheet as a data source for an LLM-powered dashboard or report"],"best_for":["Developers building data analysis agents","Teams automating spreadsheet-based workflows","Non-technical users wanting to query Sheets via Claude"],"limitations":["Formulas are evaluated server-side but only values are returned — formula logic not exposed","Large sheets (>10k rows) require pagination or range limiting to stay within API quotas","Formatting (colors, conditional formatting) not accessible","No write capability in this version — read-only access","Merged cells may produce unexpected output in range queries"],"requires":["Google Sheets API enabled","Read access to the target sheet","Sheet ID and range specification (A1 notation)"],"input_types":["Sheet ID (string)","Range specification (A1 notation, e.g., 'Sheet1!A1:C10')"],"output_types":["JSON array of cell values","JSON array of objects (if headers detected)","Raw 2D array format"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-geobio-google-workspace-server__cap_3","uri":"capability://search.retrieval.google.drive.file.listing.and.search","name":"google drive file listing and search","description":"Lists files and folders in Google Drive with filtering and search capabilities. Uses Google Drive API to query file metadata (name, type, modification date, owner) and supports MIME type filtering to find specific document types (Docs, Sheets, PDFs, etc.). Results are paginated and can be filtered by folder or search query.","intents":["I want Claude to find a specific document in my Drive by name or type","I need to list all Google Sheets in a folder for an agent to process","I want to discover recent documents that match a search query"],"best_for":["Developers building document discovery agents","Teams automating file management workflows","Users wanting to search their Drive via Claude"],"limitations":["Search is limited to file metadata (name, type) — no full-text search of document contents","Shared drives and team drives may have different permission models requiring separate handling","Pagination required for large result sets — no bulk export of entire Drive structure","Soft-deleted files (in trash) not returned by default"],"requires":["Google Drive API enabled","Read access to Drive files and metadata"],"input_types":["Search query (string)","MIME type filter (e.g., 'application/vnd.google-apps.document')","Folder ID (optional, to limit scope)"],"output_types":["JSON array of file metadata objects","File ID, name, type, modification date, owner info"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-geobio-google-workspace-server__cap_4","uri":"capability://data.processing.analysis.google.slides.content.extraction","name":"google slides content extraction","description":"Extracts text content from Google Slides presentations by slide ID. Uses Google Slides API to retrieve slide layouts and text elements, converting them into a sequential text representation that preserves slide order and speaker notes for LLM analysis of presentation content.","intents":["I want Claude to read my presentation and summarize the key points","I need to extract all speaker notes from a Slides deck","I want to analyze the content of a presentation for consistency or completeness"],"best_for":["Developers building presentation analysis agents","Teams automating content review workflows","Users wanting to query Slides via Claude"],"limitations":["Images and charts in slides are not extracted or described","Slide animations and transitions are not represented","Speaker notes are extracted but not distinguished from slide text in output","Complex layouts with overlapping text may produce garbled output"],"requires":["Google Slides API enabled","Read access to the target presentation","Presentation ID"],"input_types":["Presentation ID (string)"],"output_types":["Sequential text with slide boundaries marked","Text with speaker notes included"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-geobio-google-workspace-server__cap_5","uri":"capability://tool.use.integration.mcp.tool.schema.registration.and.discovery","name":"mcp tool schema registration and discovery","description":"Registers Google Workspace capabilities as MCP tools with standardized JSON schemas. Implements the MCP tool definition spec to expose document access, sheet queries, and file search as callable tools with parameter schemas, descriptions, and error handling. Clients discover available tools via the MCP protocol handshake.","intents":["I want my MCP client to discover what Google Workspace operations are available","I need to call Google Workspace operations through a standardized tool interface","I want to validate parameters before sending requests to Google APIs"],"best_for":["MCP client developers integrating this server","Teams building multi-tool LLM agents","Developers wanting standardized tool interfaces"],"limitations":["Tool schemas are static — no dynamic schema generation based on user's Drive structure","Parameter validation is JSON schema only — no custom validation logic exposed","Tool discovery happens at connection time — changes require reconnection"],"requires":["MCP-compatible client","Understanding of MCP tool schema specification"],"input_types":["MCP tool call requests (JSON with tool name and parameters)"],"output_types":["MCP tool result (JSON with success/error status and data)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-geobio-google-workspace-server__cap_6","uri":"capability://safety.moderation.oauth2.credential.management.and.token.refresh","name":"oauth2 credential management and token refresh","description":"Handles Google OAuth2 authentication flow including credential storage, token refresh, and expiration management. Implements automatic token refresh before expiration to ensure uninterrupted API access. Supports both user credentials (via OAuth2 consent flow) and service account credentials for different deployment scenarios.","intents":["I want to authenticate with my Google account without manually managing tokens","I need the server to automatically refresh expired credentials","I want to use a service account for headless/automated access"],"best_for":["Teams deploying this server in production","Developers building multi-user systems","Users wanting hands-off authentication"],"limitations":["User credentials require initial OAuth2 consent flow — not zero-config","Service account credentials require Cloud project setup and key management","Token refresh adds latency to first request after expiration (~500ms)","No built-in credential rotation or audit logging"],"requires":["Google Cloud project with OAuth2 configured","Client ID and secret (for user auth) or service account key file","Redirect URI configured in Google Cloud Console"],"input_types":["OAuth2 authorization code (for user flow)","Service account key JSON file"],"output_types":["Access token (used internally for API calls)","Refresh token (stored for future use)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-geobio-google-workspace-server__cap_7","uri":"capability://safety.moderation.error.handling.and.api.failure.recovery","name":"error handling and api failure recovery","description":"Implements structured error handling for Google API failures including rate limiting, authentication errors, and resource not found scenarios. Returns MCP-compliant error responses with descriptive messages and suggests recovery actions (retry, re-authenticate, check permissions). Includes exponential backoff for transient failures.","intents":["I want clear error messages when a document is not found or inaccessible","I need the server to handle rate limits gracefully without crashing","I want to know when I need to re-authenticate or check permissions"],"best_for":["Production deployments requiring reliability","Teams building user-facing agents","Developers debugging integration issues"],"limitations":["Exponential backoff may delay responses for rate-limited requests (up to 30+ seconds)","Some Google API errors are ambiguous and may be misclassified","No built-in alerting or monitoring — errors are logged but not exported"],"requires":["Proper error handling in MCP client to process error responses"],"input_types":["Google API error responses"],"output_types":["MCP error response with code, message, and recovery suggestion"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","Google Cloud project with Workspace APIs enabled","OAuth2 credentials (service account or user credentials)","MCP-compatible client (Claude Desktop, Cline, etc.)","Google Docs API enabled in Cloud project","Read access to the target document (via OAuth2 or service account)","Document ID (from Google Docs URL)","Google Sheets API enabled","Read access to the target sheet","Sheet ID and range specification (A1 notation)"],"failure_modes":["Requires Google Cloud OAuth2 setup and credential configuration — not zero-config","MCP protocol support limited to clients implementing the spec (Claude Desktop, some IDEs)","No built-in caching of document contents — each LLM request fetches fresh data from Google APIs","Rate-limited by Google Workspace API quotas (typically 1000 requests/100 seconds per user)","Formatting information (colors, fonts, styles) is lost in text conversion — only semantic structure preserved","Comments and revision history not accessible through this capability","Large documents (>100k tokens) may exceed LLM context windows","Images embedded in Docs are not extracted or described","Formulas are evaluated server-side but only values are returned — formula logic not exposed","Large sheets (>10k rows) require pagination or range limiting to stay within API quotas","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2885586451879538,"quality":0.26,"ecosystem":0.3,"match_graph":0.25,"freshness":0.52,"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":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-05-03T14:04:47.472Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":1386,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=geobio-google-workspace-server","compare_url":"https://unfragile.ai/compare?artifact=geobio-google-workspace-server"}},"signature":"AZyZaomHUYFW/902g6i89UAbidfN4AFwZs3AiKMat4z5iXP/f1TXgG+g+wN4xJgQjQYm5Fw8eT+rjHrrpQ7dBw==","signedAt":"2026-06-22T19:03:46.761Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/geobio-google-workspace-server","artifact":"https://unfragile.ai/geobio-google-workspace-server","verify":"https://unfragile.ai/api/v1/verify?slug=geobio-google-workspace-server","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"}}