MCP Server
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
Jump to
- 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:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- 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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