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MCP Tekmetric

@patclarke

Repository

Basic information

Category

Other

License

MIT license

Transports

stdio

Author

patclarke

About MCP Tekmetric

MCP server for Tekmetric API

MCP Tekmetric config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-tekmetric": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-tekmetric",
        "."
      ]
    }
  }
}

MCP Tekmetric tools

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.

Overview

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

Frequently asked questions

1

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.

2

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.

3

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).

4

What transport does MCP Tekmetric use?

The server uses SSE (Server-Sent Events) transport, exposed via an HTTP endpoint at `http://localhost:8080/sse`.

5

How can I verify the server is running?

Send a GET request to `http://localhost:8080/healthz`. A successful response returns `{"status": "ok"}`.

Comments

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