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WeCom Bot MCP Server

MCP Server

Fast, async WeCom bot server with webhook support

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Updated Apr 11, 2025

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

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

WeCom Bot MCP Server

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.