kagi-ken-mcp

kagi-ken-mcp

A lightweight Node MCP server around the kagi-ken package, providing access to Kagi.com services using Kagi session tokens:

• Search: Searches Kagi
• Summarizer: Uses Kagi's Summarizer to create summaries from URLs or text content

Unlike the official Kagi API which requires API access, this MCP server uses your existing Kagi session to access both search and summarization features.

_"Kagi-ken"_ is a portmanteau of _"Kagi"_ (the service) and _"token"_.

Why?

The Kagi API requires a separate API key, which are invite-only at the moment. If you already have a Kagi subscription but no API access, yet want to programmatically access Kagi's services from LLMs or agents like Claude, this MCP server provides an alternative.

Features

• Search: Fetch web results using Kagi Search with concurrent query processing
• Summarization: Summarize content from URLs with customizable output types and languages

The server supports two methods for using your Kagi session token (see Installation), in this order:

1. KAGI_SESSION_TOKEN environment variable
2. ~/.kagi_session_token file containing the token string

It includes comprehensive error handling:

• Connection timeouts (10 seconds per search)
• Invalid input validation
• Environment variable validation
• Graceful error formatting

<a href="https://glama.ai/mcp/servers/@czottmann/kagi-ken-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@czottmann/kagi-ken-mcp/badge" alt="kagi-kan-mcp MCP server" /> </a>

Installation

Node.js 22+ is required.

1. Get Kagi Session Token

1. Visit Kagi Settings in your browser
2. Copy the Session Link
3. Extract the token value from the link
4. Use that value as your session token: save to ~/.kagi_session_token (recommended), alternatively pass as KAGI_SESSION_TOKEN env variable

The server will automatically try the environment variable first, then fall back to the token file.

[!WARNING] Security Note: Keep your session token private. It provides access to your Kagi account.

2.a. Add MCP server to Claude Desktop

Add kagi-ken-mcp to your claude_desktop_config.json which you can open from the Claude Desktop app via Settings → Developer → Local MCP Servers → Edit Config.

Option 1: Using token file (recommended)

{
  "mcpServers": {
    "kagi-ken-mcp": {
      "command": "npx",
      "args": ["-y", "github:czottmann/kagi-ken-mcp"]
    }
  }
}

Option 2: Using environment variable

{
  "mcpServers": {
    "kagi-ken-mcp": {
      "command": "npx",
      "args": ["-y", "github:czottmann/kagi-ken-mcp"],
      "env": {
        "KAGI_SESSION_TOKEN": "YOUR_SESSION_TOKEN_HERE"
      }
    }
  }
}

Post-install

Disable Claude Desktop's built-in websearch so it'll use this here MCP server. And maybe add this to your "Personal preferences" (i.e., system prompt) in Settings:

For web searches, use kagi-ken-mcp MCP server's `kagi_search_fetch` tool.
For summarizing a URL, use the kagi-ken-mcp MCP server's `kagi_summarizer` tool.

2.b. Add MCP server to Claude Code

Option 1: Using token file (recommended)

claude mcp add kagi-ken-mcp --scope user -- npx -y github:czottmann/kagi-ken-mcp

Option 2: Using environment variable

claude mcp add kagi-ken-mcp \
  --scope user \
  --env KAGI_SESSION_TOKEN="YOUR_SESSION_TOKEN_HERE" -- \
  npx -y github:czottmann/kagi-ken-mcp

Post-install

Disable Claude Code's built-in web search (optional) by setting the permission in the relevant .claude/settings*.json file:

{
  "permissions": {
    "deny": [
      "WebSearch"
    ],
    "allow": [
      "mcp__kagi-ken-mcp__kagi_search_fetch",
      "mcp__kagi-ken-mcp__kagi_summarizer"
    ]
  }
}

Usage: Pose query that requires use of a tool

e.g. _"Who was time's 2024 person of the year?"_ for search, or "summarize this video: https://www.youtube.com/watch?v=sczwaYyaevY" for summarizer.

Tools

kagi_search_fetch

Fetch web results based on one or more queries using the Kagi Search API. Results are numbered continuously for easy reference.

Parameters:

• queries (array of strings): One or more search queries

kagi_summarizer

Summarize content from URLs using the Kagi Summarizer API. Supports various document types including webpages, videos, and audio.

Parameters:

• url (string): URL to summarize
• summary_type (enum): "summary" for paragraph prose or "takeaway" for bullet points (default: "summary")
• target_language (string, optional): Language code (e.g., "EN" for English, default: "EN")

Development

Project Structure

kagi-ken-mcp/
├── src/
│   ├── index.js              # Main server entry point
│   ├── tools/
│   │   ├── search.js         # Search tool implementation
│   │   └── summarizer.js     # Summarizer tool implementation
│   └── utils/
│       └── formatting.js     # Utility functions
├── package.json
└── README.md

Installation

1. Clone the repository:

   git clone <repository-url>
   cd kagi-ken-mcp

1. Install dependencies:

   npm install

Running in Development Mode

npm run dev

Debugging

Use the MCP Inspector to debug: ``bash npx @modelcontextprotocol/inspector node ./src/index.js ``

Then access the inspector at http://localhost:5173. If using environment variables, add your KAGI_SESSION_TOKEN in the environment variables section of the inspector.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test with the MCP Inspector
5. Submit a pull request

Author

Carlo Zottmann, <carlo@zottmann.dev>, https://c.zottmann.dev, https://github.com/czottmann.

This project is neither affiliated with nor endorsed by Kagi. I'm just a very happy customer.

[!TIP] I make Shortcuts-related macOS & iOS productivity apps like Actions For Obsidian, Browser Actions (which adds Shortcuts support for several major browsers), and BarCuts (a surprisingly useful contextual Shortcuts launcher). Check them out!

Related Projects

• czottmann/kagi-ken - Unofficial session token-based Kagi client, Node
• czottmann/kagi-ken-cli - Unofficial Node session token-based CLI tool, Node
• Official Kagi MCP Server - Python
• Model Context Protocol