What is Mcp Tekmetric

mcp-tekmetric is a Model Context Protocol (MCP) server designed to integrate AI assistants with the Tekmetric API, allowing AI tools to interact with Tekmetric data for automation and intelligent workflows.

Use cases

Use cases include asking an AI assistant for appointment details, retrieving shop contact information, and checking the status of repair orders.

How to use

To use mcp-tekmetric, you need to set up authentication with a Tekmetric API key, clone the repository, install dependencies, and run the server either locally or using Docker.

Key features

Key features include read-only access to Tekmetric data, the ability to check appointment details, retrieve shop information, and get the status of repair orders through AI interactions.

Where to use

mcp-tekmetric can be used in automotive repair shops, service centers, and any business that utilizes Tekmetric for managing appointments, repairs, and customer interactions.

MCP Tekmetric

A Model Context Protocol (MCP) server designed to integrate AI assistants with Tekmetric. This project allows AI tools to interact with your Tekmetric data, enabling automation and intelligent workflows directly from your AI assistant.

Currently, this integration supports read-only actions, allowing your AI to retrieve information from your Tekmetric instance.

Example Usage

Leverage your AI assistant to interact with your Tekmetric data:

• 📅 Check Appointment Details: “What are the details for the appointment scheduled for tomorrow?”
• 🚗 Retrieve Shop Information: “Find the contact information of a Shop.”
• 📊 Get Repair Order Status: “What is the current status of repair order #12345?”

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🔐 Authentication Setup

You need a Tekmetric API key to authenticate with the Tekmetric API. Obtain your API key from your Tekmetric account settings.

Set your API key as a system environment variable:

export TEKMETRIC_API_KEY="your_tekmetric_api_key"

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🚀 Quick Start Guide

Option 1: Run Locally (Python)

1. Clone this repository:

   git clone https://github.com/patclarke/mcp-tekmetric.git
   cd mcp-tekmetric
   

2. Install dependencies:

   pip install -e .
   

3. Start the server:

   uvicorn mcp_tekmetric.servers.main:asgi_app --host 0.0.0.0 --port 8080
   

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Option 2: Run with Docker

1. Clone this repository:

   git clone https://github.com/patclarke/mcp-tekmetric.git
   cd mcp-tekmetric
   

2. Build the Docker image:

   docker build -t mcp-tekmetric .
   

3. Run the container (pass your Tekmetric API key):

   docker run -e TEKMETRIC_API_KEY=your_tekmetric_api_key -p 8080:8080 mcp-tekmetric
   

This will expose the server on http://localhost:8080.

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🤖 Connect Your AI Assistant

For VS Code Copilot or another AI assistant that supports MCP:

Example .mcp.json config:

{
  "servers": {
    "local-tekmetric": {
      "type": "sse",
      "url": "http://localhost:8080/sse"
    }
  }
}

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🧪 Health Check

To verify the server is running:

curl http://localhost:8080/healthz

You should see:

{
  "status": "ok"
}

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📄 License

MIT License