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

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.
Related Servers
n8n
Self‑hosted, code‑first workflow automation platform
FastMCP
TypeScript framework for rapid MCP server development
Activepieces
Open-source AI automation platform for building and deploying extensible workflows
MaxKB
Enterprise‑grade AI agent platform with RAG and workflow orchestration.
Filestash
Web‑based file manager for any storage backend
MCP for Beginners
Learn Model Context Protocol with hands‑on examples
Weekly Views
Server Health
Information
Explore More Servers
ETF Flow MCP
Real‑time crypto ETF flow data for AI agents
Tempo MCP Server
Query Grafana Tempo traces via the Model Context Protocol
Files.com MCP Server
Secure AI-Driven File Operations
MCP Perplexity Server
Seamless MCP integration with Perplexity AI
WordPress MCP Server
AI‑powered WordPress content management via REST API
Jira Prompts MCP Server
Generate Jira issue prompts for AI tools