Overview
What is MCP Servers and Tools I Use?
A curated personal repository that documents the Model Context Protocol (MCP) servers the author uses regularly and the tools they provide. It covers MCP servers that enable AI assistants like Claude to interact with external systems such as the terminal, web search, GitHub, and a knowledge graph.
How to use MCP Servers and Tools I Use?
The repository lists each MCP server with a description, its repository link, and an installation command (e.g., npx -y @wonderwhy-er/desktop-commander). Configuration is stored in the user’s Claude desktop config file. Users can reference the provided commands and descriptions to install and set up the servers individually.
Key features of MCP Servers and Tools I Use
- Documents multiple MCP servers for AI assistants
- Provides installation commands for each server
- Describes server functionality and tool capabilities
- Includes a configuration file example
- Covers terminal, web, GitHub, and memory tools
Use cases of MCP Servers and Tools I Use
- Enabling Claude to execute terminal commands and edit files
- Performing AI‑powered web searches and content extraction
- Managing GitHub repositories, issues, and pull requests through Claude
- Giving Claude persistent memory via a knowledge graph
- Configuring a multi‑server MCP setup for an AI assistant
FAQ from MCP Servers and Tools I Use
What MCP servers are documented in this repository?
Desktop Commander, Tavily MCP, GitHub MCP, and Memory MCP are included.
How do I install a specific MCP server?
Each server has an installation command listed, such as npx -y @wonderwhy-er/desktop-commander for Desktop Commander.
Where is the MCP server configuration stored?
The configuration is kept in /home/joe/.config/Claude/claude_desktop_config.json for the author’s setup.
What capabilities does each server provide?
Desktop Commander offers terminal control, file search, and editing; Tavily MCP provides web search and content extraction; GitHub MCP manages repositories, issues, and pull requests; Memory MCP creates and queries a knowledge graph.
Are API keys required for any of these servers?
The README mentions a GitHub Personal Access Token for the GitHub MCP server (via the Docker run command) and implies API keys for Tavily; exact requirements are found in the respective repositories.
