{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-multi-chat-mcp-server-google-chat","slug":"multi-chat-mcp-server-google-chat","name":"Multi Chat MCP Server (Google Chat)","type":"mcp","url":"https://github.com/siva010928/multi-chat-mcp-server","page_url":"https://unfragile.ai/multi-chat-mcp-server-google-chat","categories":["mcp-servers","app-builders"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-multi-chat-mcp-server-google-chat__cap_0","uri":"capability://tool.use.integration.multi.provider.chat.platform.abstraction.with.dynamic.module.loading","name":"multi-provider chat platform abstraction with dynamic module loading","description":"Implements a pluggable provider architecture where each chat platform (Google Chat, Slack, Teams) is a self-contained module loaded dynamically at runtime via the --provider CLI flag. Each provider implements its own authentication, API layer, and tool registry following a standardized directory structure (src/providers/<platform_name>/), enabling concurrent execution of multiple providers and reducing coupling between platform implementations. The system uses Python's importlib to load provider modules and instantiate their mcp_instance.py entry points without modifying core server code.","intents":["I want to support multiple chat platforms without rewriting the core MCP server for each one","I need to add a new chat platform (Slack, Teams, Discord) by following established conventions","I want to run multiple chat providers simultaneously in separate processes"],"best_for":["teams building multi-platform chat integrations","developers extending the framework with new providers","organizations with heterogeneous chat infrastructure"],"limitations":["Providers must follow strict directory structure and naming conventions or dynamic loading fails silently","No built-in provider orchestration — each provider runs in isolation with no cross-provider state sharing","Provider discovery is manual via CLI flag; no auto-detection of available providers"],"requires":["Python 3.9+","Provider module implementing mcp_instance.py entry point","provider-config.yaml in provider directory with authentication credentials"],"input_types":["CLI arguments (--provider flag)","YAML configuration files","Provider module code"],"output_types":["Loaded provider instance","Registered MCP tools","Tool execution results"],"categories":["tool-use-integration","architecture-patterns"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-multi-chat-mcp-server-google-chat__cap_1","uri":"capability://tool.use.integration.mcp.protocol.tool.registration.and.invocation.with.structured.parameters","name":"mcp protocol tool registration and invocation with structured parameters","description":"Exposes chat platform operations as MCP tools using the @mcp.tool() decorator pattern, where each tool receives structured JSON parameters from AI assistants and returns typed results. The system translates natural language commands from MCP clients (Cursor, Claude Desktop) into tool invocations with validated parameter schemas, enabling AI assistants to programmatically interact with chat platforms without custom parsing logic. Tools are registered at server startup and advertised to clients via MCP's tool discovery protocol.","intents":["I want my AI assistant (Cursor/Claude) to send messages to Google Chat via natural language","I need to expose chat operations (search, list, send) as discoverable tools to MCP clients","I want parameter validation and type safety for tool invocations from AI assistants"],"best_for":["AI assistant developers integrating with chat platforms","teams using Cursor IDE or Claude Desktop with MCP support","builders creating AI-driven chat workflows"],"limitations":["Tool parameters must be JSON-serializable; complex nested objects require flattening","No built-in rate limiting or quota management per tool invocation","Tool discovery is static at server startup; dynamic tool registration not supported"],"requires":["MCP client supporting tool calling (Cursor 0.40+, Claude Desktop 0.7+)","MCP server running with provider loaded","Tool definitions with JSON schema in provider's mcp_instance.py"],"input_types":["Natural language commands from AI assistant","Structured JSON parameters matching tool schema"],"output_types":["Structured JSON results","Error messages with diagnostic context","Tool metadata (name, description, parameters)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-multi-chat-mcp-server-google-chat__cap_2","uri":"capability://tool.use.integration.google.chat.api.integration.with.oauth.2.0.service.account.authentication","name":"google chat api integration with oauth 2.0 service account authentication","description":"Implements production-ready Google Chat integration using OAuth 2.0 service account credentials stored in provider-config.yaml, with automatic token refresh and API error handling. The authentication system manages credentials lifecycle (loading, validation, refresh) and provides an authenticated HTTP client for all Google Chat API calls (messages, spaces, search). The provider abstracts Google's REST API behind a tool interface, handling pagination, rate limiting, and response transformation.","intents":["I want to authenticate with Google Chat using service account credentials without manual token management","I need to send, search, and list messages in Google Chat spaces programmatically","I want automatic token refresh and error recovery for long-running chat operations"],"best_for":["teams using Google Workspace with Google Chat","developers building AI-powered Google Chat bots","organizations requiring service account authentication (no user interaction)"],"limitations":["Requires Google Cloud project setup with Chat API enabled and service account with appropriate IAM roles","Service account must be added to target Google Chat spaces with message sending permissions","No support for user-delegated authentication; only service account credentials","Google Chat API rate limits (100 requests/minute for standard quota) apply to all operations"],"requires":["Google Cloud project with Google Chat API enabled","Service account with JSON key file","Service account email added to target Google Chat spaces","provider-config.yaml with service_account_json_path pointing to credentials file","Python google-auth library (included in dependencies)"],"input_types":["Service account JSON credentials file","Space ID or space name","Message text","Search query with optional date filters"],"output_types":["Message objects with metadata (sender, timestamp, content)","Space information (name, members, creation date)","Search results with relevance ranking","API error responses with diagnostic details"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-multi-chat-mcp-server-google-chat__cap_3","uri":"capability://search.retrieval.natural.language.message.search.with.date.filtering.and.semantic.ranking","name":"natural language message search with date filtering and semantic ranking","description":"Implements a search_messages_tool that accepts natural language queries and optional date range filters, translating them into Google Chat API search requests with structured result ranking. The system supports date filtering patterns (e.g., 'last 7 days', 'since 2024-01-01') parsed from query parameters, and returns ranked results with message content, sender, timestamp, and space context. Search results are formatted for AI assistant consumption with relevance metadata.","intents":["I want to search Google Chat messages using natural language from my AI assistant","I need to filter search results by date range (e.g., 'messages from last week')","I want search results ranked by relevance with full message context for AI analysis"],"best_for":["teams using AI assistants to discover information in Google Chat history","developers building AI-powered chat analytics or knowledge extraction","organizations needing searchable chat archives with natural language access"],"limitations":["Date filtering relies on custom parsing logic; complex date expressions may fail silently","Search is limited to message content; metadata (reactions, threads) not searchable","Google Chat API search has 100 result limit per query; pagination not implemented","No full-text indexing; relies on Google Chat's built-in search which may have latency"],"requires":["Google Chat API with search permissions enabled","Service account with message read access to target spaces","Natural language query from AI assistant","Optional date range parameters in query"],"input_types":["Natural language search query (string)","Optional date range filters (e.g., 'last 7 days', 'since 2024-01-01')","Optional space ID to scope search"],"output_types":["Ranked list of message objects","Message metadata (sender, timestamp, space, content)","Relevance scores or ranking indicators","Error messages for invalid date filters"],"categories":["search-retrieval","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-multi-chat-mcp-server-google-chat__cap_4","uri":"capability://automation.workflow.message.sending.with.space.and.thread.context.preservation","name":"message sending with space and thread context preservation","description":"Implements a send_message_tool that allows AI assistants to post messages to Google Chat spaces with optional thread context, preserving conversation structure and enabling threaded discussions. The tool accepts space ID/name, message text, and optional thread ID, translating them into Google Chat API calls that maintain message threading and space isolation. Results include message metadata (ID, timestamp, sender) for follow-up operations.","intents":["I want my AI assistant to send messages to specific Google Chat spaces","I need to post replies in existing message threads to keep conversations organized","I want confirmation of message delivery with metadata for tracking"],"best_for":["teams using AI assistants for automated notifications in Google Chat","developers building AI-powered chat bots that participate in discussions","organizations automating workflow notifications to team chat"],"limitations":["Message formatting limited to plain text; no support for rich formatting (bold, links, cards)","No message editing or deletion after sending","Thread context requires manual thread ID; no automatic thread detection from conversation history","Service account must have explicit message sending permissions in target spaces"],"requires":["Google Chat API with message creation permissions","Service account added to target space with send_message role","Space ID or space name (must be accessible to service account)","Optional thread ID for threaded replies"],"input_types":["Space ID or space name (string)","Message text (string, plain text only)","Optional thread ID (string) for threaded replies"],"output_types":["Message object with ID, timestamp, sender, space context","Confirmation of successful delivery","Error response if space not accessible or permissions insufficient"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-multi-chat-mcp-server-google-chat__cap_5","uri":"capability://search.retrieval.space.and.member.discovery.with.metadata.enumeration","name":"space and member discovery with metadata enumeration","description":"Implements tools for discovering Google Chat spaces accessible to the service account and listing space members with metadata (name, email, role). The system queries Google Chat API to enumerate spaces and members, returning structured results with display names, email addresses, and member roles. This enables AI assistants to understand team structure and identify relevant spaces for operations without manual configuration.","intents":["I want my AI assistant to discover which Google Chat spaces it has access to","I need to list members in a space to understand team composition","I want to identify the correct space ID/name for sending messages programmatically"],"best_for":["teams with dynamic space creation where AI assistants need to discover targets","developers building AI-powered space management or team analytics","organizations automating notifications across multiple spaces"],"limitations":["Discovery is limited to spaces where service account is a member; private spaces not accessible","Member enumeration returns basic metadata only (name, email, role); no presence or status info","No filtering or search on space discovery; returns all accessible spaces","Pagination not implemented; may fail with >100 spaces or members"],"requires":["Google Chat API with space and member read permissions","Service account added to target spaces","No additional parameters required for discovery"],"input_types":["Optional space ID to list members for specific space","No parameters required for space discovery"],"output_types":["List of space objects with ID, name, creation date, member count","List of member objects with name, email, role, join date","Error response if space not accessible"],"categories":["search-retrieval","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-multi-chat-mcp-server-google-chat__cap_6","uri":"capability://automation.workflow.configuration.management.with.environment.variable.and.file.based.credential.handling","name":"configuration management with environment variable and file-based credential handling","description":"Implements a configuration system that loads provider settings from provider-config.yaml files and supports environment variable overrides for sensitive credentials (API keys, service account paths). The system validates configuration at startup, ensuring required fields are present and credentials are accessible, with clear error messages for missing or invalid configuration. Configuration is provider-specific, stored in src/providers/<platform>/provider-config.yaml, enabling per-provider customization without modifying core server code.","intents":["I want to configure Google Chat credentials without hardcoding them in source code","I need to override configuration values via environment variables for CI/CD deployments","I want validation errors at startup to catch configuration issues early"],"best_for":["teams deploying MCP servers in containerized environments (Docker, Kubernetes)","developers managing multiple provider configurations","organizations requiring credential rotation and environment-specific settings"],"limitations":["YAML parsing is strict; malformed config files cause startup failure with minimal error context","Environment variable overrides require exact key names; typos silently fall back to file config","No built-in credential encryption; secrets stored in plaintext in YAML files","No configuration hot-reload; changes require server restart"],"requires":["provider-config.yaml in provider directory with required fields","Service account JSON file path (if using Google Chat)","Optional environment variables for credential overrides (e.g., GOOGLE_CHAT_CREDENTIALS_PATH)"],"input_types":["YAML configuration file","Environment variables","Service account JSON file"],"output_types":["Validated configuration object","Startup error messages for invalid configuration","Loaded credentials ready for API calls"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-multi-chat-mcp-server-google-chat__cap_7","uri":"capability://tool.use.integration.mcp.client.integration.with.cursor.ide.and.claude.desktop.configuration","name":"mcp client integration with cursor ide and claude desktop configuration","description":"Provides integration guidance and configuration templates for connecting the MCP server to Cursor IDE and Claude Desktop via their respective MCP configuration files (~/.cursor/mcp.json, ~/.claude/mcp-server.json). The system documents how to register the MCP server as a tool provider in these clients, including command-line arguments for provider selection and credential passing. Integration is declarative via JSON configuration; no code changes required to clients.","intents":["I want to connect my Cursor IDE to Google Chat via this MCP server","I need to configure Claude Desktop to use the MCP server for chat operations","I want to understand the exact configuration format for MCP client setup"],"best_for":["Cursor IDE users wanting AI-assisted Google Chat integration","Claude Desktop users building chat-based workflows","developers documenting MCP server setup for end users"],"limitations":["Requires manual editing of MCP configuration files; no auto-discovery of MCP servers","Configuration format differs between Cursor and Claude Desktop; separate docs required","MCP server must be running before client can invoke tools; no lazy startup","Cursor and Claude Desktop versions must support MCP protocol (Cursor 0.40+, Claude Desktop 0.7+)"],"requires":["Cursor IDE 0.40+ or Claude Desktop 0.7+","MCP server running and accessible via command line","Manual configuration of ~/.cursor/mcp.json or ~/.claude/mcp-server.json","Python 3.9+ installed and in PATH for server execution"],"input_types":["MCP configuration JSON","Server command-line arguments (--provider, --config-path)"],"output_types":["Registered MCP tools in client UI","Tool invocation results in client chat","Error messages if server not accessible"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-multi-chat-mcp-server-google-chat__cap_8","uri":"capability://tool.use.integration.provider.extensibility.framework.with.standardized.interface.conventions","name":"provider extensibility framework with standardized interface conventions","description":"Defines a standardized provider interface that new chat platform integrations must follow: directory structure (src/providers/<platform>/), entry point (mcp_instance.py), configuration file (provider-config.yaml), and tool registration pattern (@mcp.tool() decorators). The framework includes documentation and examples for adding new providers (Slack, Teams, Discord), with clear conventions for authentication, API abstraction, and tool definition. Developers can add providers without modifying core server code or understanding MCP protocol internals.","intents":["I want to add support for Slack or Microsoft Teams to this MCP server","I need to understand the exact interface and conventions for implementing a new provider","I want to reuse the MCP server infrastructure for my custom chat platform"],"best_for":["developers extending the framework with new chat platforms","teams building proprietary chat integrations","organizations standardizing on this MCP server for multi-platform chat access"],"limitations":["Providers must strictly follow directory structure and naming conventions or dynamic loading fails","No built-in testing framework for providers; developers must write custom tests","Documentation is reference-based; no step-by-step wizard for new providers","No provider versioning or compatibility checking; breaking changes in core server may require provider updates"],"requires":["Understanding of MCP protocol basics","Python 3.9+ development environment","API documentation for target chat platform","Authentication credentials for target platform","Familiarity with provider interface conventions (mcp_instance.py, provider-config.yaml)"],"input_types":["Provider module code","Configuration YAML","Platform API credentials"],"output_types":["Loaded provider instance","Registered tools","Tool execution results"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-multi-chat-mcp-server-google-chat__cap_9","uri":"capability://automation.workflow.collaborative.debugging.workflow.with.natural.language.command.tracing","name":"collaborative debugging workflow with natural language command tracing","description":"Provides debugging capabilities that trace natural language commands from AI assistants through the MCP protocol, provider selection, tool invocation, and API calls, with detailed logging at each stage. The system logs command intent, parameter parsing, tool selection, API requests/responses, and error context, enabling developers to understand how AI assistant commands map to chat platform operations. Debugging output is human-readable and includes diagnostic context for troubleshooting integration issues.","intents":["I want to understand how my AI assistant's natural language command is translated to a Google Chat API call","I need to debug why a tool invocation failed or returned unexpected results","I want to trace the full execution path from command to API response for troubleshooting"],"best_for":["developers integrating MCP servers with AI assistants","teams troubleshooting chat integration issues","builders understanding the flow of natural language commands through the system"],"limitations":["Debugging output is verbose; no filtering or log level configuration","Logs are written to stdout/stderr; no persistent log storage or rotation","No built-in performance profiling; latency analysis requires manual instrumentation","Sensitive data (API keys, credentials) may be logged; requires careful log handling in production"],"requires":["MCP server running with debug logging enabled","Access to server stdout/stderr output","Understanding of MCP protocol and provider architecture"],"input_types":["Natural language command from AI assistant","Tool invocation parameters"],"output_types":["Detailed execution trace logs","API request/response details","Error messages with diagnostic context","Performance metrics (optional)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"high","permissions":["Python 3.9+","Provider module implementing mcp_instance.py entry point","provider-config.yaml in provider directory with authentication credentials","MCP client supporting tool calling (Cursor 0.40+, Claude Desktop 0.7+)","MCP server running with provider loaded","Tool definitions with JSON schema in provider's mcp_instance.py","Google Cloud project with Google Chat API enabled","Service account with JSON key file","Service account email added to target Google Chat spaces","provider-config.yaml with service_account_json_path pointing to credentials file"],"failure_modes":["Providers must follow strict directory structure and naming conventions or dynamic loading fails silently","No built-in provider orchestration — each provider runs in isolation with no cross-provider state sharing","Provider discovery is manual via CLI flag; no auto-detection of available providers","Tool parameters must be JSON-serializable; complex nested objects require flattening","No built-in rate limiting or quota management per tool invocation","Tool discovery is static at server startup; dynamic tool registration not supported","Requires Google Cloud project setup with Chat API enabled and service account with appropriate IAM roles","Service account must be added to target Google Chat spaces with message sending permissions","No support for user-delegated authentication; only service account credentials","Google Chat API rate limits (100 requests/minute for standard quota) apply to all operations","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.45,"ecosystem":0.49999999999999994,"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":"2026-06-17T09:51:03.578Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=multi-chat-mcp-server-google-chat","compare_url":"https://unfragile.ai/compare?artifact=multi-chat-mcp-server-google-chat"}},"signature":"hq2078j51S0Tn35XqMh66Mi4R0KgT0d4fCf8YasquqzeX4FRvsvt618WRmQW80/7fwnjyNn+b6/eRi6m03lZDw==","signedAt":"2026-06-21T00:32:00.811Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/multi-chat-mcp-server-google-chat","artifact":"https://unfragile.ai/multi-chat-mcp-server-google-chat","verify":"https://unfragile.ai/api/v1/verify?slug=multi-chat-mcp-server-google-chat","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"}}