FastMCP Basic Server

FastMCP Basic Server

A basic MCP server implementation using the FastMCP framework that provides utility tools for greetings and mathematical calculations. It is designed to demonstrate tool integration for AI-assisted development workflows like Cline.

Category
Visit Server

README

MCP Server using FastMCP

A basic Model Context Protocol (MCP) server implementation using FastMCP, designed for integration with Cline.

Overview

This project provides a simple MCP server that demonstrates how to create tools and expose them through the MCP protocol. It's designed to be integrated with Cline for AI-assisted development workflows.

Features

  • Tool Definitions: Example tools for greeting, calculations, and server information
  • FastMCP Framework: Built on the FastMCP library for simplified MCP server development
  • Cline Integration: Ready to integrate with Cline for AI assistant capabilities
  • Async Support: Full async/await support for non-blocking operations

Project Structure

mcp_server_using_fastmcp/
├── mcp_server/
│   ├── __init__.py          # Package initialization
│   └── server.py            # Main server implementation
├── pyproject.toml           # Project configuration
├── README.md                # This file
└── .github/
    └── copilot-instructions.md  # Copilot instructions

Installation

  1. Install dependencies:
pip install -e .
  1. For development with additional tools:
pip install -e ".[dev]"

Available Tools

1. get_greeting

Get a greeting message.

  • Input: name (string) - The name to greet
  • Output: Greeting message

2. calculate_sum

Calculate the sum of two numbers.

  • Input: a (float), b (float)
  • Output: Sum result

3. get_server_info

Get information about the MCP server.

  • Output: Server information dictionary

Running the Server

python -m mcp_server.server

Or directly:

python mcp_server/server.py

Integrating with Cline

To integrate this MCP server with Cline:

  1. Ensure the server is installed and can be run
  2. Configure Cline to connect to this MCP server using the appropriate endpoint
  3. The available tools will be accessible within Cline's context

Development

Running Tests

pytest

Code Formatting

black mcp_server/

Linting

flake8 mcp_server/

MCP Protocol

This server implements the Model Context Protocol, which allows AI assistants and other tools to:

  • Discover available tools and their parameters
  • Call tools with structured arguments
  • Receive structured responses

Adding New Tools

To add a new tool to the server, add a new function decorated with @server.call_tool():

@server.call_tool()
def my_tool(param1: str, param2: int) -> str:
    """
    Tool description.
    
    Args:
        param1: Parameter description
        param2: Parameter description
        
    Returns:
        Return value description
    """
    # Implementation
    return result

License

MIT

Contributing

Feel free to extend this server with additional tools and capabilities as needed.

#run this command to start the mcp server

python -m mcp_server.server

#use this cline configuration of MCP server

{
  "mcpServers": {
    "mcp-server-fastmcp": {
      "command": "python",
      "args": ["-m", "mcp_server.server"],
      "cwd": "c:\\Ratnesh\\Dev\\third_mcp_server_using_fastmcp"
    }
  }
}

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured