mcp

Install mcp in your MCP client

mcp is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

1. Locate your client's MCP config file.
   • Cursor: ~/.cursor/mcp.json
   • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
   • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
   • VS Code: Settings → Extensions → MCP
   • Windsurf: Settings → MCP Servers
2. Add mcp to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
3. Restart your client so it picks up the new server.
4. Verify — ask the assistant to list available tools; mcp's tools should appear.

{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/mcp-server"
      ],
      "note": "Replace with the actual package name from the server's documentation."
    }
  }
}

Transport

mcp supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

More build.protocol_tooling.mcp MCP servers

Other Model Context Protocol servers in the same space as mcp. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

• AgentPays

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• UnifAPI

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• Cumulus MCP Server

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• SE Ranking

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• pixserp

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• Pingfyr

  Schedule reminders for AI agents via email, webhook, Slack, Discord, Telegram, or Google Calendar.

• Lenderprice MCP

  MCP server that exposes the Lenderprice platform's capabilities to AI models.

• eurorack

  Citation-anchored Eurorack module reference: specs, compatibility, and patch techniques.

Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.