my-MCP-server

Rohituddagiri/my-MCP-server

3.1

If you are the rightful owner of my-MCP-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The Model Context Protocol (MCP) server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol, allowing applications to provide context to LLMs in a standardized way.

my-MCP-server

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications - it provides a standardized way to connect AI models to different data sources and tools.

Key Benefits

  • A growing list of pre-built integrations that your LLM can directly plug into
  • Flexibility to switch between LLM providers and vendors
  • Best practices for securing your data within your infrastructure

Architecture Overview

MCP follows a client-server architecture where a host application can connect to multiple servers:

  • MCP Hosts: Programs like Claude Desktop, IDEs, or AI tools that want to access data through MCP
  • MCP Clients: Protocol clients that maintain 1:1 connections with servers
  • MCP Servers: Lightweight programs that expose specific capabilities through the standardized Model Context Protocol
  • Data Sources: Both local (files, databases) and remote services (APIs) that MCP servers can access

Core MCP Concepts

MCP servers can provide three main types of capabilities:

  • Resources: File-like data that can be read by clients (like API responses or file contents)
  • Tools: Functions that can be called by the LLM (with user approval)
  • Prompts: Pre-written templates that help users accomplish specific tasks

System Requirements

  • Python 3.10 or higher
  • MCP SDK 1.2.0 or higher
  • uv package manager

Project Setup

STEP 01- Initiate project repository

uv init documentation

cd documentation

STEP 02- Create Virtual Environment

uv venv --python 3.11

STEP 03- Activate Virtual Environment:

source .venv/bin/activate

STEP 04- Add dependencies

uv add "mcp[cli]" httpx

Create a .env file in the root directory and add your Serper API credentials as follows:

SERPER_API=xxxxxxxxxxxxxxxxxxxxxxxx

Running the Server

  1. Start the MCP server:
uv run main.py
  1. The server will start and be ready to accept connections

Connecting to Claude Desktop

  1. Install Claude Desktop from the official website
  2. Configure Claude Desktop to use your MCP server:

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
    "mcpServers": {
        "mcp-server": {
            "command": "uv",  # It's better to use the absolute path to the uv command
            "args": [
                "--directory",
                "/ABSOLUTE/PATH/TO/YOUR/mcp-server",
                "run",
                "main.py"
            ]
        }
    }
}
  1. Restart Claude Desktop