Model Context Protocol (MCP) is an open standard that lets AI assistants like Claude connect to external tools, databases, and services. MCP servers expose capabilities as tools the AI can call — from reading files and querying databases to browsing the web and interacting with cloud services.
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How to Use MCP Servers with Claude
Model Context Protocol (MCP) servers extend Claude's capabilities by giving it the ability to interact with external systems. Each server exposes specific tools — for example, the filesystem server lets Claude read and write files, while the postgres server lets it query your database.
Step 1: Install the MCP Server
Copy the install command from the server card. Most servers use npm (Node.js) or pip (Python). Run the command in your terminal. For npm servers: npm install -g @modelcontextprotocol/server-name. For Python servers: pip install mcp-server-name.
Step 2: Configure Claude Desktop
Open Claude Desktop and go to Settings → Developer → Edit Config. This opens the claude_desktop_config.json file. Add your server under the mcpServers key with the server name, command, and any required arguments or environment variables.
Step 3: Restart and Verify
Restart Claude Desktop after editing the config. You'll see a hammer icon indicating available tools when MCP servers are active. Try asking Claude to use a tool from your installed server — for example, "List the files in my Documents folder" with the filesystem server installed.
Recommended Starter Servers
For most developers, these MCP servers provide the highest value: filesystem (read/write local files), fetch (browse URLs), brave-search (web search), github (repository access), and sqlite or postgres (database queries). Start with filesystem and fetch — they cover 80% of daily AI assistant tasks.
Security Considerations
MCP servers execute code on your machine with the permissions of your user account. Always review a server's source code before installing, particularly for servers that access the internet, your filesystem, or sensitive credentials. Use environment variables for API keys rather than hardcoding them in config files.
FAQ
What is MCP (Model Context Protocol)?
Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI assistants like Claude to connect to external tools, databases, and services. MCP servers expose capabilities as tools the AI can call, enabling it to read files, query databases, browse the web, and interact with APIs — all through a standardized interface.
How do I install an MCP server?
Most MCP servers are installed via npm (Node.js) or pip (Python). Each server card in this directory shows the exact install command. After installing, you configure it in your Claude Desktop app's settings file (claude_desktop_config.json) or compatible MCP client.
Which AI assistants support MCP?
MCP was created by Anthropic and is natively supported by Claude Desktop. The open standard is being adopted by other AI clients including Cursor, Zed, and various open-source projects. The MCP specification is available on GitHub.
Are MCP servers safe to use?
MCP servers run locally on your machine and communicate with the AI client through a controlled interface. However, as with any tool that executes code or accesses system resources, review the source code before installing. Stick to official servers from reputable publishers and check GitHub stars and recent activity.
Can I build my own MCP server?
Yes. Anthropic provides SDKs for building MCP servers in TypeScript/JavaScript and Python. An MCP server exposes tools (functions the AI can call), resources (data the AI can read), and prompts (reusable prompt templates). The official documentation and examples are available at modelcontextprotocol.io.
Is this directory free?
Yes, completely free. Browse and search all MCP server listings without signing up.
Is my data private?
Yes. This is a static reference tool. No data is collected or sent anywhere. All search and filter operations run locally in your browser.