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CopilotMCP

by mehrshadshams
GitHub
Python
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Integrations

  • Enables running multiple MCP servers simultaneously in containerized environments with Docker Compose, with each server exposed on different ports for isolated testing and deployment.

  • Supports project setup through Git repository cloning, allowing version control of MCP server configurations and code.

  • Built on Python with specific version requirements (3.11+), leveraging Python's capabilities for implementing the various MCP servers.

MCP Server Project

This project contains multiple MCP servers for handling various tasks such as customer interviews, E2E testing, and go-live processes. Each MCP server is implemented using the FastMCP framework.

Prerequisites

  • Python 3.11 or higher
  • uv package manager (used instead of pip)

Setup

  1. Clone the repository:
    git clone <repository-url> cd CopilotMCP
  2. Install dependencies using uv:
    uv install

Running the Project

To run a specific MCP server, use the following command:

uv run main.py --mcp <mcp_server_name>

Replace <mcp_server_name> with the name of the MCP server you want to run. Available options are:

  • hello
  • customer_mcp
  • interview_mcp
  • go_live_mcp
  • testing_e2e_mcp

Example

To run the customer_mcp server:

uv run main.py --mcp customer_mcp

This will start the customer_mcp server and make it accessible at:

http://127.0.0.1:8000/customer-mcp-server/mcp

Running with Docker Compose

You can use Docker Compose to run all MCP servers simultaneously. Each server will be exposed on a different port.

Steps to Run

  1. Build and start all services:
    docker-compose up --build
  2. Access the MCP servers at the following URLs:
  3. Stop all services:
    docker-compose down

Notes

  • Ensure Docker and Docker Compose are installed on your system.
  • Each MCP server runs in its own container and is accessible on its respective port.

Configuring MCP Servers in VSCode

To configure MCP servers in VSCode, you can add entries to your settings.json file under the mcp.servers section. This allows you to define and manage MCP server endpoints for easy access.

Example Configuration

To configure the hello-mcp-server, add the following entry to your settings.json file:

"hello-mcp-server": { "url": "http://127.0.0.1:8000/hello-server/mcp/http", "type": "http" }

Then you can access hello server hello tool by executing: #hello <something> in Copilot.

Steps to Add Configuration

  1. Open your VSCode settings.json file.
  2. Locate or create the mcp.servers section.
  3. Add the configuration for the desired MCP server, as shown in the example above.

Accessing the Server

Once configured, you can use the defined URL to interact with the MCP server. For example, the hello-mcp-server will be accessible at:

http://127.0.0.1:8000/hello-server/mcp/http

This setup ensures that you can easily manage and test MCP servers directly from VSCode.

Project Structure

  • main.py: Entry point for running MCP servers.
  • customer_mcp.py: Handles customer interview-related tasks.
  • interview_mcp.py: Manages customer interview steps.
  • go_live_mcp.py: Handles go-live processes.
  • testing_e2e_mcp.py: Manages E2E testing tasks.
  • hello.py: Example MCP server for testing.

Notes

  • Ensure that the uv package manager is installed and configured correctly.
  • Use the --mcp argument to specify which MCP server to run.

This server cannot be installed

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security - not tested
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license - not found
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quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

A collection of MCP servers built with FastMCP framework that handle various tasks including customer interviews, E2E testing, and go-live processes, enabling seamless integration with GitHub Copilot through VSCode.

  1. Prerequisites
    1. Setup
      1. Running the Project
        1. Example
      2. Running with Docker Compose
        1. Steps to Run
        2. Notes
      3. Configuring MCP Servers in VSCode
        1. Example Configuration
        2. Steps to Add Configuration
        3. Accessing the Server
      4. Project Structure
        1. Notes

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