What MCP servers are documented in this repository?
Desktop Commander, Tavily MCP, GitHub MCP, and Memory MCP are included.
@ChenBingWei1201
Basic information
A documentation of MCP servers and tools I use with Claude
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
Desktop Commander, Tavily MCP, GitHub MCP, and Memory MCP are included.
Each server has an installation command listed, such as `npx -y @wonderwhy-er/desktop-commander` for Desktop Commander.
The configuration is kept in `/home/joe/.config/Claude/claude_desktop_config.json` for the author’s setup.
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.
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.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
Hindsight: Agent Memory That Learns

Model Context Protocol Servers
A curated list of references for MLOps
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