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Wxauto MCP Server

MCP Server

Automate WeChat interactions via an LLM-friendly MCP interface

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Updated 27 days ago

About

The Wxauto MCP Server enables large language models to send and receive WeChat messages by leveraging the wxauto library, providing tools for message sending and chat history retrieval on Windows.

Capabilities

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

WxAuto MCP in Action

WxAuto MCP – Bridging AI Assistants and WeChat on Windows

The WxAuto MCP server solves a common pain point for developers who want to embed conversational AI into the ubiquitous WeChat ecosystem. By exposing a lightweight MCP interface that wraps the wxauto library, it allows Claude or any other Model Context Protocol client to send and receive messages through the native WeChat desktop client. This eliminates the need for custom integration code or reverse‑engineering of WeChat’s APIs, enabling rapid prototyping and production deployments on Windows machines.

At its core, the server implements two high‑level tools that mirror everyday messaging actions. The tool lets an AI agent deliver text to a specified contact or group, optionally mentioning members in a group chat. Conversely, retrieves the conversation history with a given contact or group, providing a list of messages that can be used for context building or audit purposes. Both tools are defined with clear, typed parameters and straightforward return values, making them easy to invoke from any MCP‑compatible workflow.

Key capabilities include:

  • Real‑time interaction: Messages are pushed to WeChat immediately, enabling live chatbots or notification systems.
  • History retrieval: The ability to load more past messages allows agents to maintain context over long conversations or perform retrospective analysis.
  • Cross‑platform compatibility: While the server itself is Windows‑only, it leverages the cross‑language wxauto library, ensuring that developers can write client logic in any language that supports MCP.

Typical use cases span from customer support automation—where an AI can answer queries directly in a WeChat group—to internal team coordination tools that post updates or reminders. In research settings, the server can serve as a testbed for conversational agents that need to interact with real users on a popular messaging platform.

Integrating WxAuto MCP into an AI workflow is straightforward: add the server definition to your Claude Desktop or Cursor configuration, and reference its tools in prompts. The MCP abstraction handles the underlying process management (via ) and ensures that the WeChat client remains responsive. Developers benefit from a plug‑and‑play solution that abstracts away the intricacies of desktop automation, allowing them to focus on building intelligent dialogue strategies rather than managing Windows GUI interactions.