Kagi MCP server

@kagisearch

Basic information

About Kagi MCP server

The Official Model Context Protocol (MCP) server for Kagi Search & other tools.

Kagi MCP server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "kagimcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "kagimcp",
        "--client",
        "claude"
      ]
    }
  }
}

Kagi MCP server tools

web, news, videos, podcasts, and image search with optional page extracts, filters, and Kagi lenses.

fetch a page's full content as markdown.

Overview

What is Kagi MCP server?

The Kagi MCP server is an MCP‑compatible server backed by the Kagi API. It exposes web, news, video, podcast, and image search tools, as well as a page‑extraction tool, enabling AI assistants to search the web and retrieve full page content as markdown.

How to use Kagi MCP server?

Use the hosted server at https://mcp.kagi.com/mcp with any HTTP‑capable MCP client, authenticating with your Kagi API key via a Bearer token. Alternatively, install the server locally using uvx kagimcp after setting the KAGI_API_KEY environment variable. Configuration options include search/extract timeouts, retry count, and hidden search parameters.

Key features of Kagi MCP server

Web, news, video, podcast, and image search with filters and lenses.
Full page extraction returning content as markdown.
Hosted HTTP server available at https://mcp.kagi.com/mcp — no install required.
Self‑hostable via the provided Dockerfile, supporting multi‑tenant HTTP mode.
Configurable timeouts, retries, and hidden parameters for LLM‑facing schemas.
Supports multiple MCP clients: Claude Desktop, Claude Code, Codex CLI, Smithery, Kiro, OpenCode.

Use cases of Kagi MCP server

AI assistants performing live web searches for current events or research.
Extracting full article or documentation content from a URL for further processing.
Searching across multiple media types (news, videos, images) with fine‑grained filters.

Frequently asked questions

Do I need a Kagi account and API key?

Yes. A Kagi API key is required and must be set as the `KAGI_API_KEY` environment variable or passed via the `Authorization: Bearer <key>` HTTP header.

What are the runtime dependencies?

The recommended install uses `uv`. For local setups, `uv` must be installed. The server runs as a Python package (`kagimcp`) via `uvx`.

Does the server support OAuth2 authentication?

Not yet. OAuth2 is on the roadmap; for now you must use a Kagi API key with Bearer authentication.

Where do search queries and extracted data go?

All requests are sent to the Kagi API. The server does not store data locally; results are returned directly to the MCP client.

Can I control timeouts or retries?

Yes. Set `KAGI_SEARCH_TIMEOUT` (default 10s), `KAGI_EXTRACT_TIMEOUT` (default 30s), and `KAGI_MAX_RETRIES` (default 2) environment variables.

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