Kagi Search — LabStore

Kagi Search MCP Server

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

MCP Info

Attribute	Details
Docker Image	mcp/kagisearch
Author	kagisearch
Repository	https://github.com/kagisearch/kagimcp

Image Building Info

Attribute	Details
Dockerfile	https://github.com/kagisearch/kagimcp/blob/17c4dfd25fbfeeffa43a428574b786982bd3cd97/Dockerfile
Commit	`17c4dfd25fbfeeffa43a428574b786982bd3cd97`
Docker Image built by	Docker Inc.
Docker Scout Health Score	Docker Scout Health Score
Verify Signature	`COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/kagisearch --key https://raw.githubusercontent.com/docker/keyring/refs/heads/main/public/mcp/latest.pub`
Licence	MIT License

Available Tools (2)

Tools provided by this Server	Short Description
`kagi_search_fetch`	Fetch web results based on one or more queries using the Kagi Search API.
`kagi_summarizer`	Summarize content from a URL using the Kagi Summarizer API.

Tools Details

Tool: `kagi_search_fetch`

Fetch web results based on one or more queries using the Kagi Search API. Use for general search and when the user explicitly tells you to 'fetch' results/information. Results are from all queries given. They are numbered continuously, so that a user may be able to refer to a result by a specific number.

Parameters	Type	Description
`queries`	`array`	One or more concise, keyword-focused search queries. Include essential context within each query for standalone use.

Tool: `kagi_summarizer`

Summarize content from a URL using the Kagi Summarizer API. The Summarizer can summarize any document type (text webpage, video, audio, etc.)

Parameters	Type	Description
`url`	`string`	A URL to a document to summarize.
`summary_type`	`string` optional	Type of summary to produce. Options are 'summary' for paragraph prose and 'takeaway' for a bulleted list of key points.
`target_language`	`string` optional	Desired output language using language codes (e.g., 'EN' for English). If not specified, the document's original language influences the output.

Use this MCP Server

{
  "mcpServers": {
    "kagisearch": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "KAGI_SUMMARIZER_ENGINE",
        "-e",
        "KAGI_API_KEY",
        "mcp/kagisearch"
      ],
      "env": {
        "KAGI_SUMMARIZER_ENGINE": "cecil",
        "KAGI_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

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