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Claude MCP Tools

by henrygabriels

A collection of Model Context Protocol (MCP) servers for extending Claude's capabilities. These servers enable Claude to interact with external data sources and tools.

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What is Claude MCP Tools?

This repository contains a collection of MCP servers designed to extend the capabilities of the Claude AI model. These servers allow Claude to interact with external data sources, APIs, and tools through the Model Context Protocol (MCP).

How to use Claude MCP Tools?

To use these servers, clone the repository, set up a virtual environment, install dependencies, and configure the Claude Desktop application to point to the server endpoints. Detailed instructions are provided in the README.

Key features of Claude MCP Tools

  • Enables Claude to search news articles

  • Allows Claude to access Wikipedia content

  • Provides data analysis capabilities on CSV files

  • Uses the Model Context Protocol (MCP) for secure communication

Use cases of Claude MCP Tools

  • Real-time information retrieval for Claude

  • Data analysis and reporting within Claude

  • Extending Claude's knowledge base

  • Integrating Claude with external APIs and services

FAQ from Claude MCP Tools

What is the Model Context Protocol (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.

What are the prerequisites for using these servers?

You need Python 3.10 or higher and the Claude Desktop App (v1.2.0+) installed.

How do I configure Claude Desktop to use these servers?

You need to edit the claude_desktop_config.json file and add the server commands under the 'mcpServers' section.

Can I build my own MCP server?

Yes, you can create your own MCP server by following the steps outlined in the README and referring to the official MCP quickstart guide.

Where can I find more information about MCP?

You can find more information on the official MCP documentation, the Anthropic MCP announcement, and the MCP GitHub repositories (links provided in the README).