What does this server do?
It provides an MCP (Model Context Protocol) service that interfaces with PC WeChat, enabling AI tools (e.g., Cline) to interact with WeChat through the protocol.
@interiv
Basic information
实现pc端微信的mcp服务功能
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-wechat": {
"command": "D:\\PythonCode\\mcp-wechat\\mcp-wechat\\.venv\\Scripts\\python",
"args": [
"D:\\PythonCode\\mcp-wechat\\mcp-wechat\\main.py"
],
"disabled": false,
"autoApprove": [
"wechat"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
mcp-server-wechat implements an MCP (Model Context Protocol) service for PC WeChat. It is a single-file Python script that requires installing dependencies and setting up a virtual environment.
Install dependencies, create a virtual environment, and place the main.py file. Then configure the server in cline_mcp_settings.json (for VSCode with Cline) by setting the command to the Python executable in the virtual environment and args to the path of main.py.
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It provides an MCP (Model Context Protocol) service that interfaces with PC WeChat, enabling AI tools (e.g., Cline) to interact with WeChat through the protocol.
A Python virtual environment with all necessary dependencies installed. The exact command configuration points to the Python executable within that virtual environment.
Add a JSON entry to `cline_mcp_settings.json` (located at a path like `C:\Users\Administrator\AppData\Roaming\Code\User\globalStorage\saoudrizwan.claude-dev\settings\`), specifying `command` as the virtual environment’s Python interpreter and `args` as the path to `main.py`.
The README states to install dependencies yourself (`自行安装依赖`) but does not list them explicitly.

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