| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 7 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Routes structured messages from MCP clients to WeCom (WeChat Work) group robots through a standardized server interface. Implements the Model Context Protocol as a transport layer, translating MCP tool calls into WeCom API HTTP requests with webhook URL-based delivery. The server acts as a protocol adapter, accepting MCP-formatted requests and marshaling them into WeCom's proprietary message format for group chat delivery.
Unique: Implements WeCom messaging as a native MCP server rather than a client library or SDK wrapper, enabling seamless integration into MCP-orchestrated AI workflows without requiring direct WeCom API knowledge or authentication management in client code.
vs alternatives: Provides MCP-native WeCom integration vs. requiring manual HTTP calls or custom SDK wrappers, enabling standardized tool composition across heterogeneous services in MCP environments.
Sends plain text messages to WeCom group robots via MCP tool interface. Accepts text content as MCP tool parameters, constructs WeCom API-compliant JSON payload with message type 'text', and POSTs to the configured webhook URL. Supports optional message mentions and formatting directives within the text payload.
Unique: Exposes WeCom text messaging as a discrete MCP tool rather than bundling it with other message types, allowing fine-grained control and selective use in agent tool chains without loading unnecessary message type handlers.
vs alternatives: Simpler and more direct than generic HTTP request tools for text delivery, with WeCom-specific payload construction and error handling built into the MCP server rather than requiring client-side formatting.
Sends markdown-formatted messages to WeCom group robots, converting markdown syntax into WeCom's markdown message type. Accepts markdown content as MCP tool parameter, validates markdown structure, and POSTs to webhook with message type 'markdown'. Supports WeCom-compatible markdown features including headers, bold, italic, links, and code blocks.
Unique: Provides markdown as a first-class message type in the MCP interface rather than requiring clients to manually construct WeCom's markdown JSON structure, enabling agents to generate formatted output natively.
vs alternatives: More ergonomic than raw JSON payload construction for formatted messages, with server-side markdown-to-WeCom conversion handling the API-specific formatting details.
Sends image messages to WeCom group robots by accepting image URLs or base64-encoded image data via MCP tool parameters. Constructs WeCom image message payload with media_id or base64 content, POSTs to webhook endpoint. Supports common image formats (JPEG, PNG, GIF) within WeCom's size constraints.
Unique: Handles both URL-based and base64-encoded image delivery through a single MCP tool interface, abstracting WeCom's dual-mode image payload construction from the client.
vs alternatives: Eliminates need for clients to manually base64-encode images or construct WeCom image payloads, providing a unified image delivery interface regardless of image source.
Sends file messages to WeCom group robots by accepting file URLs or file metadata via MCP tool parameters. Constructs WeCom file message payload with media_id or file reference, POSTs to webhook. Supports arbitrary file types within WeCom's constraints (documents, archives, executables).
Unique: Abstracts WeCom's file message payload construction, supporting both direct URLs and pre-uploaded media_ids through a single MCP tool interface without requiring clients to understand WeCom's media upload flow.
vs alternatives: Simpler than manual WeCom API file upload and message construction, with server-side handling of file payload formatting and media reference resolution.
Sends multiple messages to WeCom groups in sequence via repeated MCP tool calls, with per-message error handling and status reporting. Each tool invocation is independent, allowing partial success scenarios where some messages deliver while others fail. MCP server returns individual status for each message delivery attempt.
Unique: Treats each message delivery as an independent MCP tool invocation with isolated error handling, enabling clients to implement custom retry and fallback logic at the orchestration layer rather than within the server.
vs alternatives: Provides granular per-message status visibility vs. all-or-nothing batch APIs, allowing workflows to handle partial failures and implement selective retries without reprocessing successful messages.
Manages MCP server initialization, configuration loading, and webhook URL setup for WeCom group robot integration. Reads configuration from environment variables or config files, validates WeCom webhook URLs, and exposes MCP tool definitions for client discovery. Implements MCP server protocol handshake and tool schema advertisement.
Unique: Implements MCP server protocol compliance with tool schema advertisement, enabling automatic client discovery and type-safe tool invocation without manual configuration or hardcoded tool definitions.
vs alternatives: Provides MCP-native server setup vs. custom HTTP servers, with automatic tool schema generation and protocol compliance handling reducing integration boilerplate.
Executes SQL queries against Supabase PostgreSQL instances through the Model Context Protocol, translating natural language or structured query requests into parameterized SQL statements. Uses MCP's tool-calling interface to expose database operations as callable functions with schema validation, enabling LLM agents to perform CRUD operations, joins, and aggregations with automatic connection pooling and credential management through Supabase client SDK.
Unique: Exposes Supabase PostgreSQL as MCP tools with automatic credential injection from Supabase client SDK, eliminating manual connection string management and enabling seamless LLM-to-database queries within Claude or compatible agents
vs alternatives: Tighter integration than generic SQL MCP servers because it leverages Supabase's built-in authentication and connection pooling rather than requiring separate database credential configuration
Exposes Supabase Auth session state and user metadata through MCP tools, allowing agents to inspect current authentication context, retrieve user profiles, and trigger auth-related operations. Integrates with Supabase's JWT-based auth system to validate sessions and access user claims without re-authenticating, using the Supabase client's built-in session management.
Unique: Integrates Supabase's JWT-based auth system directly into MCP tool interface, allowing agents to inspect and act on auth state without managing separate credential stores or re-authentication flows
vs alternatives: More seamless than generic auth MCP servers because it leverages Supabase's built-in session management and avoids redundant credential passing between agent and auth system
Invokes Supabase Edge Functions (serverless TypeScript/JavaScript functions) through MCP tools, passing parameters and receiving results with optional streaming support. Uses Supabase's edge function HTTP API to trigger functions with automatic authentication headers and response parsing, enabling agents to execute custom business logic without embedding it in the agent itself.
Supabase scores higher at 42/100 vs gotoolkits/wecombot at 21/100.
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Unique: Exposes Supabase Edge Functions as MCP tools with automatic authentication and response parsing, allowing agents to invoke custom serverless logic without managing HTTP clients or credential injection
vs alternatives: More integrated than generic HTTP MCP tools because it handles Supabase-specific authentication, error handling, and response formatting automatically
Subscribes to real-time changes on Supabase tables through MCP's event streaming interface, using Supabase's PostgreSQL LISTEN/NOTIFY mechanism to push INSERT, UPDATE, and DELETE events to agents. Maintains persistent WebSocket connections and filters events by table and row-level policies, enabling agents to react to database changes without polling.
Unique: Bridges Supabase's PostgreSQL LISTEN/NOTIFY real-time system with MCP's tool interface, enabling agents to subscribe to database changes without managing WebSocket connections or event serialization
vs alternatives: More efficient than polling-based approaches because it uses Supabase's native real-time infrastructure rather than repeated database queries
Manages files in Supabase Storage buckets through MCP tools, supporting upload, download, list, and delete operations with automatic authentication and path-based access control. Uses Supabase's S3-compatible storage API with built-in support for public/private buckets and signed URLs for temporary access, enabling agents to handle file I/O without managing cloud storage credentials.
Unique: Exposes Supabase Storage's S3-compatible API as MCP tools with automatic authentication and signed URL generation, eliminating the need for agents to manage cloud storage credentials or generate temporary access tokens
vs alternatives: More integrated than generic S3 MCP tools because it leverages Supabase's built-in bucket policies and authentication rather than requiring separate AWS credentials
Performs semantic similarity searches on vector embeddings stored in Supabase PostgreSQL using pgvector extension, translating natural language queries into embedding vectors and executing cosine/L2 distance searches. Integrates with embedding providers (OpenAI, Cohere) or uses pre-computed embeddings, enabling agents to retrieve semantically similar documents or records without full-text search limitations.
Unique: Integrates pgvector directly into MCP tools with automatic embedding generation and distance calculation, enabling agents to perform semantic search without managing separate vector database infrastructure
vs alternatives: More efficient than external vector databases (Pinecone, Weaviate) for Supabase users because it colocates embeddings with relational data, reducing network latency and simplifying data synchronization
Exposes Supabase database schema information through MCP tools, allowing agents to discover table structures, column types, constraints, and relationships without manual schema documentation. Queries PostgreSQL information_schema and Supabase metadata tables to dynamically generate schema descriptions, enabling agents to construct valid queries and understand data relationships.
Unique: Queries Supabase's PostgreSQL information_schema directly through MCP tools, enabling agents to dynamically discover and adapt to database schemas without pre-configured schema definitions
vs alternatives: More flexible than static schema definitions because it reflects live database state, including recent migrations or schema changes
Enforces Supabase Row-Level Security policies within agent queries, ensuring that agents can only access rows permitted by RLS rules defined in the database. Evaluates policies based on authenticated user context (JWT claims, user ID) and applies WHERE clause filters automatically, preventing unauthorized data access at the database layer rather than application layer.
Unique: Delegates authorization enforcement to PostgreSQL RLS policies rather than implementing authorization in agent code, ensuring that data access rules are centralized and cannot be bypassed by agent logic
vs alternatives: More secure than application-level authorization because RLS is enforced at the database layer, preventing accidental data leaks even if agent code has bugs
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