MCP Server

by sampad1990

311 downloads
Not rated
GitHub

About

This project implements an MCP-compliant server that allows AI models to discover and invoke tools through a standardized protocol. The server is designed to be modular, with each tool implemented as a separate Python module.

Details

Author
sampad1990
Downloads
311
Categories
Other

- MCP‑compliant protocol for tool discovery and invocation
- Modular tool architecture with separate Python modules
- @tool decorator for easy tool registration
- Written in Python, scalable and extensible

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install dependencies with pip install -r requirements.txt, then run python -m src.server. New tools can be added by creating a Python file in src/tools/ and using the @tool decorator.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp server": {
            "mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "src.server"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-server": {
        "command": "python",
        "args": [
            "-m",
            "src.server"
        ]
    }
}

MCP Server

A scalable and modular Model Context Protocol (MCP) server implementation using Python.

Overview

This project implements an MCP-compliant server that allows AI models to discover and invoke tools through a standardized protocol. The server is designed to be modular, with each tool implemented as a separate Python module.

Installation

\\\
pip install -r requirements.txt
\
\\

Usage

To run the server:

\\\
python -m src.server
\
\\

Adding New Tools

Create a new Python file in the \src/tools\ directory with functions using the \@tool\ decorator.

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