What is required to authenticate with MCP Tekmetric?
You need a Tekmetric API key, which you obtain from your Tekmetric account settings. Set it as the `TEKMETRIC_API_KEY` environment variable.
@patclarke
基本信息
MCP server for Tekmetric API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-tekmetric": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-tekmetric",
"."
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP Tekmetric is a Model Context Protocol (MCP) server that enables AI assistants to interact with Tekmetric data in a read-only manner. It is designed for users who want to automate or retrieve information from their Tekmetric instance through an AI interface.
Obtain a Tekmetric API key and set it as the TEKMETRIC_API_KEY environment variable. Run the server locally with uvicorn mcp_tekmetric.servers.main:asgi_app --host 0.0.0.0 --port 8080 or via Docker using docker run -e TEKMETRIC_API_KEY=your_key -p 8080:8080 mcp-tekmetric. Connect your AI assistant (e.g., VS Code Copilot) by configuring an SSE server at http://localhost:8080/sse.
/healthz)You need a Tekmetric API key, which you obtain from your Tekmetric account settings. Set it as the `TEKMETRIC_API_KEY` environment variable.
Currently, this integration supports read-only actions only. Your AI can retrieve information but cannot create or modify data.
You can run it locally using Python (install dependencies with `pip install -e .` and start with uvicorn) or with Docker (`docker build` then `docker run`, passing your API key).
The server uses SSE (Server-Sent Events) transport, exposed via an HTTP endpoint at `http://localhost:8080/sse`.
Send a GET request to `http://localhost:8080/healthz`. A successful response returns `{"status": "ok"}`.

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