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
基本情報
MCP server for Tekmetric API
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-tekmetric": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-tekmetric",
"."
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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"}`.
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
Hindsight: Agent Memory That Learns
不止于 CSS
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
コメント