kaiten-mcp

Install kaiten-mcp in your MCP client

kaiten-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 kaiten-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; kaiten-mcp's tools should appear.

{
  "mcpServers": {
    "kaiten-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@theyahia/kaiten-mcp"
      ],
      "env": {
        "KAITEN_DOMAIN": "<your-kaiten-domain>"
      }
    }
  }
}

npm package: @theyahia/kaiten-mcp

Required environment variables

kaiten-mcp needs the following environment variables set before it can run. Add them to the env block of your mcpServers entry, or export them in your shell before launching the client.

• KAITEN_DOMAIN

Transport

kaiten-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 kaiten-mcp. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

• devicecloud

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• piia-engram

  Persistent AI memory across tools — preferences, standards, lessons, decisions. Local-first.

• modelbound-mcp

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• Krystal Voice Caller

  Drive a Krystal Voice Caller tenant from Claude, Cursor, or any MCP-aware agent.

• transaction-coordinator

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• Sports Context Protocol

  Self-learning operational context layer for AI sports agents. Profile 001: golf.

• TokenSaver

  Token-efficient C#, Razor, and .NET file views for AI assistants. 50-95% token reduction via Roslyn.

• Amalgix

  MoA document intelligence — multiple AI models cross-verify for 100% recall across 10 languages.

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