About
A lightweight FastMCP‑based server that sends Markdown messages to WeCom (WeChat Work) via webhook, tracks history and offers async APIs for integration.
Capabilities
The WeCom Bot MCP Server bridges the gap between AI assistants and enterprise‑grade messaging on WeChat Work (WeCom). By exposing a lightweight MCP interface, the server allows AI models to send richly formatted Markdown messages and retrieve message history directly through a webhook. This eliminates the need for custom SDKs or manual HTTP handling, enabling developers to focus on building conversational logic rather than integration plumbing.
At its core, the server is built on FastMCP, a high‑performance MCP framework. It listens for incoming AI requests, translates them into WeCom webhook payloads, and posts the messages asynchronously. The asynchronous design ensures that AI assistants can continue generating responses without waiting for network round‑trips, which is especially valuable in high‑throughput or real‑time scenarios such as live support chats or automated notifications.
Key capabilities include:
- Markdown message support – Developers can send rich, formatted content (headings, lists, code blocks) that renders natively in the WeCom client.
- Message history tracking – The server keeps a local log of sent messages, allowing AI assistants to reference prior interactions or audit communication flows.
- Complete type hints and unit tests – The codebase is fully typed and covered by tests, reducing integration friction for teams that prioritize reliability.
- Environment‑driven configuration – By simply setting , the server can be deployed in CI/CD pipelines or local dev environments without code changes.
Real‑world use cases span from automated status updates in project management tools to interactive FAQ bots that pull data from internal knowledge bases. In a typical workflow, an AI assistant receives user input, formulates a response via the MCP tool, and the server forwards that message to the designated WeCom channel. The assistant can then query to provide context or confirm that a notification was delivered.
What sets this server apart is its minimal footprint and seamless integration path. Because it relies solely on standard HTTP webhooks, any AI platform that supports MCP can plug in instantly. The asynchronous design and Markdown support further ensure that messages are delivered quickly and look professional, making the WeCom Bot MCP Server a practical choice for developers looking to embed AI into corporate communication channels without reinventing the wheel.
Related Servers
Netdata
Real‑time infrastructure monitoring for every metric, every second.
Awesome MCP Servers
Curated list of production-ready Model Context Protocol servers
JumpServer
Browser‑based, open‑source privileged access management
OpenTofu
Infrastructure as Code for secure, efficient cloud management
FastAPI-MCP
Expose FastAPI endpoints as MCP tools with built‑in auth
Pipedream MCP Server
Event‑driven integration platform for developers
Weekly Views
Server Health
Information
Explore More Servers
Vc MCP Server
MCP server powering VidiCore data services
Super Shell MCP Server
Secure cross‑platform shell execution via Model Context Protocol
MCP Server Talk Presentation
Showcase MCP fundamentals and best practices
DuckDB MCP Server
Real-time data access for DuckDB via the Model Context Protocol
DanchoiCloud MCP Server
Run DanchoiCloud models via Docker with ease
NSAF MCP Server
Expose Neuro‑Symbolic Autonomy to AI Assistants