MCP Tekmetric

Name: MCP Tekmetric
Author: patclarke

@patclarke

代码仓库

关于 MCP Tekmetric

MCP server for Tekmetric API

基本信息

分类

其他

许可证

MIT license

运行时

python

传输方式

stdio

发布者

patclarke

配置

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

未检测到工具

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。

概览

What is MCP Tekmetric?

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.

How to use MCP Tekmetric?

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.

Key features of MCP Tekmetric

Read-only access to Tekmetric data
Local Python or Docker deployment
SSE transport for MCP connections
Health check endpoint (/healthz)

Use cases of MCP Tekmetric

Check details of upcoming appointments
Retrieve shop contact information
Get the current status of a repair order

FAQ from MCP Tekmetric

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.

Does MCP Tekmetric support write operations?

Currently, this integration supports read-only actions only. Your AI can retrieve information but cannot create or modify data.

How do I run MCP Tekmetric?

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).