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  1. Home
  2. 🔎 Search & Data Extraction
  3. Kagimcp
Kagimcp logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 8:47:30 PM

Kagimcp

User RatingsBe the first to rate and review this MCP server!Ownership verifiedThe owner proved control of this listing via a GitHub README, site badge, or DNS TXT record.
View Repository509 GitHub StarsTotal stargazers on GitHub for the source repository (509 stars).Visit Website
kagisearchweb-extractionresearch

Searches Kagi’s web indexes and extracts full web pages as Markdown through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

This server is confirmed live — we successfully called its tools/list endpoint directly (see the verified badge above). We haven't yet sandbox-tested the stdio install command below specifically, which is a separate, ongoing check.

Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "kagisearch-kagimcp": {
      "command": "uvx",
      "args": [
        "kagimcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (2) Directory Badge Alternatives🔎 More in Search & Data Extraction

Overview

Searches the web and extracts page content through the kagisearch/kagimcp MCP server, using Kagi’s API. It exposes search across web, news, videos, podcasts, and images, plus a separate page-to-Markdown extraction tool. Run it locally with uvx or connect an MCP client to Kagi’s hosted HTTP endpoint. Reach for it when an agent needs current search results, filtered discovery, or the full contents of a referenced web page.

Use cases

•Search current web, news, video, podcast, and image results
•Extract a web page into Markdown for detailed reading
•Filter searches by domains, dates, file type, or Kagi lens
•Let users refer to numbered search results in follow-up prompts

Key features

•Kagi web, news, video, podcast, and image search
•Full-page Markdown extraction
•Optional search filters, extracts, and Kagi lenses
•Local stdio and hosted or self-hosted HTTP modes
•Configurable timeouts, retries, and hidden search parameters

Capabilities & Tool Schemas (2) ~960 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Verified live Verified liveCaptured by calling this server’s live tools/list endpoint.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Kagimcp.

kagi_search_fetch

Fetch web results for a query using the Kagi Search API. Use for general search and when the user explicitly tells you to 'fetch' results/information. Results are numbered so that a user may refer to a result by a specific number.

kagi_extract

Extract the content of a web page as markdown using the Kagi Extract API. Use this to read the full content of a page when needed.

How Kagimcp works

What kagisearch/kagimcp MCP server does

The kagisearch/kagimcp MCP server gives MCP-compatible clients access to two Kagi API operations: web search and page extraction. Search results can cover web, news, videos, podcasts, and images. The search tool also supports optional page extracts, search filters, Kagi lenses, and numbered results that users can reference in later instructions.

The extraction tool retrieves the full content of a web page and returns it as Markdown. This is useful when a search result or user-provided URL needs to be read in detail rather than summarized from snippets.

The project no longer exposes the earlier kagi_fastgpt or kagi_summarizer tools. The README says those tools may return in a future release.

How it works

Local deployments communicate with an MCP client over stdio. The recommended package runner is uvx, which starts the published kagimcp package. Requests use the Kagi API and require a Kagi API key supplied through KAGI_API_KEY.

The project also provides a hosted MCP endpoint at https://mcp.kagi.com/mcp. HTTP-capable clients can connect to that endpoint and send the key as a Bearer token in the Authorization header. OAuth2 is not supported at present. For self-hosting, the server can run in streamable HTTP mode, and its HTTP mode accepts a Bearer key per request rather than relying on one server-wide key.

Setup and configuration

For a local client configuration, install uv and run uvx kagimcp with KAGI_API_KEY in the environment. Claude Desktop configuration uses a local command with uvx and the package name as its argument. The repository also documents setup for Codex CLI, Claude Code, Kiro, OpenCode, and Smithery.

KAGI_API_KEY is required. Optional settings include FASTMCP_LOG_LEVEL, search and extraction timeouts, KAGI_MAX_RETRIES, and KAGI_HIDDEN_PARAMS. The hidden-parameter setting can remove selected search controls from the schema shown to the language model, including domain filters, date ranges, file type, result limits, and lens selection.

Tools and capabilities

  • kagi_search_fetch: Runs Kagi searches across web, news, videos, podcasts, and images. It supports optional extracts, filters, lenses, and numbered results.
  • kagi_extract: Fetches a web page’s full content as Markdown.

The kagisearch/kagimcp MCP server can run over local stdio or streamable HTTP. A Dockerfile is included for HTTP deployment, and the container respects the PORT environment variable used by several hosting platforms.

Limitations and notes

A Kagi API key is needed for local use and hosted requests. The hosted endpoint does not currently support OAuth2. Search and extraction have separate timeout settings, and retries can be disabled by setting KAGI_MAX_RETRIES to 0.

The kagisearch/kagimcp MCP server is focused on Kagi search and extraction. It does not currently include the removed FastGPT or summarizer tools. The repository documents a pinned prerelease installation form when a specific prerelease version is required.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Search & Data Extraction View all alternatives
  • MCP Servers Kagi logoMCP Servers Kagi

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    Compare vs MCP Servers Kagi →
  • Firecrawl MCP Server logoFirecrawl MCP Server
    Verified

    Official Firecrawl server to search the web and scrape, crawl, map, and extract structured data from any site for LLMs. Handles JS-rendered pages, PDFs, and batch jobs; hosted remote MCP with OAuth or self-host.

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    Compare vs Firecrawl MCP Server →
  • Kagi Ken MCP logoKagi Ken MCP

    Work with Kagi without API access (you'll need to be a customer, tho). Searches and summarizes. Uses Kagi session token for easy authentication.

    🔎 Search & Data Extraction3 views
    Compare vs Kagi Ken MCP →
  • Brave Search MCP Server logoBrave Search MCP Server

    Web search capabilities using Brave's Search API

    🔎 Search & Data Extraction7 views
    Compare vs Brave Search MCP Server →

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
509
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
2
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Kagimcp

Install uv, then run `uvx kagimcp` with the `KAGI_API_KEY` environment variable configured. The README also documents a hosted endpoint at `https://mcp.kagi.com/mcp` that requires no local installation.

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Technical Specs & Signals

Category🔎Search & Data Extraction
PricingBring your own API key (usage-based cost)
More technical detailsExpand â–¾
TransportSTDIO
RuntimePython
AuthAPI key
ClientsClaude Desktop
Last updatedSep 7, 2026
11/11 checks healthy over the last 33d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars509
GitHub Star CountTotal stargazers on GitHub representing community popularity (509 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 7, 2026
82Quality signal: Excellent · 82/100How this signal is calculated ▾
Server availability25/25
Verified ownership20/20
Documentation & tools29/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 23d ago via OSV.dev · kagimcp (PyPI)

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