sritaj_info_mcp_server

sritajkumarpatel/sritaj_info_mcp_server

3.2

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Sritaj Info MCP Server is a Model Context Protocol server designed to provide information services efficiently.

Sritaj Info MCP Server

A Model Context Protocol (MCP) server providing information services.

Python MCP

Technologies

  • Python: >=3.13
  • MCP Framework: mcp[cli] >=1.23.1
  • Build System: setuptools
  • Package Manager: uv (recommended) or pip

Project Structure

sritaj_info_mcp_server/
├── main.py                 # Main entry point (optional)
├── pyproject.toml          # Project configuration and dependencies
├── README.md               # This file
└── src/
    └── mcpserver/
        ├── __init__.py     # Package initialization
        ├── __main__.py     # CLI entry point
        └── sritaj_info_server.py  # Main server implementation

Setup

  1. Ensure Python >=3.13 is installed.
  2. Create and activate a virtual environment:
    • Using uv (recommended):
      uv sync  # Creates .venv and installs dependencies
      
      To activate the environment (optional, as uv commands work without explicit activation):
      .venv\Scripts\activate  # On Windows
      
    • Using venv (alternative):
      python -m venv .venv
      .venv\Scripts\activate  # On Windows
      pip install -e .
      

Running

To run the MCP server:

uv run .\src\mcpserver\__main__.py

This starts the server and makes it available for MCP clients.

Using in VS Code Local MCP Server

To integrate this MCP server with VS Code's local MCP setup, add the following configuration to your VS Code MCP settings file:

"sritaj_info_server": {
  "command": "uv",
  "args": [
    "run",
    "{Path}}sritaj_info_mcp_server\\src\\mcpserver\\__main__.py"
  ],
  "env": {}
}

Replace {Path} with the absolute path to your project directory (e.g., C:\\AI\\).

Development

  • Edit source files in src/mcpserver/
  • Run tests (if any) after changes
  • Update dependencies in pyproject.toml as needed