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MCP Agents

by amajakai14

MCP Agents - Example FastMCP Server

A simple Model Context Protocol (MCP) server built with FastMCP that demonstrates basic tool implementation.

Features

  • greet: Greet a user by name

Installation

This project uses uv for package management and just for task running. Make sure you have both installed:

# Install uv if you don't have it curl -LsSf https://astral.sh/uv/install.sh | sh # Install just if you don't have it # On macOS with Homebrew: brew install just # Or with cargo: cargo install just

Then build the project:

just build

Usage

Running the MCP Server

To start the MCP agents server:

just run

Using with MCP Clients

You can use this server with any MCP-compatible client. The configuration depends on how you want to run the server:

Option 1: Local Development (using source code)

For development or when running from a local clone:

{ "mcpServers": { "mcp-agents": { "command": "uv", "args": ["run", "mcp-agents"], "cwd": "/Users/means/repository/mcp-agents", "env": {} } } }

Option 2: PyPI Installation (recommended for end users)

Once published to PyPI, users can use this simpler configuration:

{ "mcpServers": { "mcp-agents": { "command": "uvx", "args": ["amajakai14_mcp-agents"] } } }

Alternative with pipx:

{ "mcpServers": { "mcp-agents": { "command": "pipx", "args": ["run", "amajakai14_mcp-agents"] } } }

Option 3: Version Pinning

To pin to a specific version:

{ "mcpServers": { "mcp-agents": { "command": "uvx", "args": ["amajakai14_mcp-agents==0.1.0"] } } }

For Claude Desktop

Add any of the above configurations to your Claude Desktop config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%/Claude/claude_desktop_config.json

Testing the Tools

Run the test script to verify the tools work correctly:

just test

Available Tools

greet

Greets a user by name.

Parameters:

  • name (string): The name of the person to greet

Returns: A friendly greeting message.

Example:

{ "name": "greet", "arguments": { "name": "Alice" } }

Response:

"Hello, Alice!"

Development

Available Just Commands

  • just build - Install dependencies and sync the project

  • just run - Start the MCP agents server

  • just test - Run the test script

  • just format - Format code with black and isort

  • just typecheck - Run type checking with mypy

  • just dev - Install development dependencies

  • just dist - Build distribution packages

  • just clean - Clean build artifacts

  • just publish - Publish to PyPI (used in CI)

Project Structure

mcp-agents/ ├── src/ │ └── agents/ │ └── __init__.py # Main MCP server implementation ├── pyproject.toml # Project configuration and dependencies ├── justfile # Task runner configuration ├── mcp_config.json # MCP client configuration example ├── test_tools.py # Simple test script └── README.md # This file

Adding New Tools

To add new tools using FastMCP:

  1. Add a new function with the @mcp.tool() decorator:

    @mcp.tool("tool_name", description="Description of what the tool does") def tool_name(param1: type, param2: type) -> return_type: # Tool implementation return result
  2. Update the README with documentation for the new tool

Running Tests

just test

License

MIT License

-
security - not tested
F
license - not found
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Provides FastMCP-based servers with various tools for AI assistants including math operations, file management, note-taking, todo management, and database operations. Offers both basic and advanced server configurations with tools, resources, and prompt templates.

  1. Features
    1. Installation
      1. Usage
        1. Running the MCP Server
        2. Using with MCP Clients
        3. Testing the Tools
      2. Available Tools
        1. greet
      3. Development
        1. Available Just Commands
        2. Project Structure
        3. Adding New Tools
        4. Running Tests
      4. License

        MCP directory API

        We provide all the information about MCP servers via our MCP API.

        curl -X GET 'https://glama.ai/api/mcp/v1/servers/amajakai14/mcp-agents'

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