What is Claude Mcp Tools

claude-mcp-tools is a collection of Model Context Protocol (MCP) servers designed to extend the capabilities of the Claude AI model. It allows secure, two-way connections between Claude and external data sources, APIs, or tools.

Use cases

Use cases for claude-mcp-tools include retrieving the latest news articles for content creation, accessing Wikipedia for research purposes, and analyzing CSV data for insights in business analytics.

How to use

To use claude-mcp-tools, clone the repository, set up a virtual environment, install the required dependencies, and configure the Claude Desktop application to recognize the MCP servers by editing the configuration file. Finally, restart Claude Desktop.

Key features

Key features of claude-mcp-tools include the ability to search for news articles, retrieve content from Wikipedia, and perform data analysis on CSV files. It provides tools, resources, and prompts to enhance user interaction with the AI.

Where to use

claude-mcp-tools can be used in various fields such as journalism for news retrieval, education for accessing Wikipedia content, and data analysis in business or research environments.

Claude MCP Tools

A collection of Model Context Protocol (MCP) servers for extending Claude’s capabilities.

What is MCP?

The Model Context Protocol (MCP) is an open standard developed by Anthropic that enables secure, two-way connections between AI models like Claude and external data sources, APIs, or tools.

MCP provides three main capabilities:

• Tools: Functions that can be called by Claude (with user approval)
• Resources: File-like data that can be read by clients
• Prompts: Pre-written templates that help users accomplish specific tasks

Servers in this Repository

This repository contains the following MCP servers:

1. news-search-server: A server that enables Claude to search for and retrieve recent news articles
2. wikipedia-server: Allows Claude to search and retrieve content from Wikipedia
3. analytics-server: A server for performing data analysis on CSV files

Getting Started

Prerequisites

• Python 3.10 or higher
• Claude Desktop App installed (v1.2.0+)

Installation

1. Clone this repository:

git clone https://github.com/henrygabriels/claude-mcp-tools.git
cd claude-mcp-tools

2. Set up a virtual environment and install dependencies:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

3. Configure Claude Desktop to use these servers by editing your configuration file:

# On macOS
~/Library/Application Support/Claude/claude_desktop_config.json
# On Windows
%APPDATA%\Claude\claude_desktop_config.json

Add the following to your configuration:

{
  "mcpServers": {
    "news-search": {
      "command": "python /absolute/path/to/claude-mcp-tools/news-search-server/server.py"
    },
    "wikipedia": {
      "command": "python /absolute/path/to/claude-mcp-tools/wikipedia-server/server.py"
    },
    "analytics": {
      "command": "python /absolute/path/to/claude-mcp-tools/analytics-server/server.py"
    }
  }
}

4. Restart Claude Desktop

Building Your Own MCP Server

To create your own MCP server, follow these steps:

1. Create a new directory for your server
2. Create a Python file with your server logic using the MCP SDK
3. Define the tools you want to expose
4. Add your server to the Claude Desktop configuration

See the official MCP quickstart guide for more details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Resources

• MCP Official Documentation
• Anthropic MCP Announcement
• MCP GitHub Repositories