
Kagi Search
โ 432from kagisearch
Search the web using Kagi's search API
Kagi MCP Server
An MCP server backed by the Kagi API. It exposes search and extraction tools to MCP-compatible clients.
Tools
-
kagi_search_fetch- web, news, videos, podcasts, and image search with optional page extracts, filters, and Kagi lenses. -
kagi_extract- fetch a page's full content as markdown.
Note: The previous kagi_fastgpt and kagi_summarizer tools have been removed. Both are planned to return in a future release.
Hosted Server
We run a hosted MCP server at https://mcp.kagi.com/mcp โ no install required. Point any HTTP-capable MCP client at it and authenticate with your Kagi API key.
OAuth2 isn't supported yet (it's on our roadmap), so for now grab your API key from the dashboard and pass it via Bearer HTTP authentication.
Example with Claude Code:
claude mcp add kagi https://mcp.kagi.com/mcp --transport http --header "Authorization: Bearer $(read -sp 'API key: ' k; echo $k)" --scope user
Prefer to run it yourself? See Client Setup for the local uvx install, or Self-Hosting to host the HTTP server on your own infrastructure.
Local Development
git clone https://github.com/kagisearch/kagimcp.git
cd kagimcp
uv sync
Run locally over stdio:
KAGI_API_KEY= uv run kagimcp
Run with streamable HTTP transport:
KAGI_API_KEY= uv run kagimcp --http --host 0.0.0.0 --port 8000
Self-Hosting
HTTP mode is multi-tenant: each request supplies its API key via the
Authorization: Bearer <key> header instead of a server-wide env var, so one
instance can serve multiple users. The repo ships a Dockerfile that installs a pinned kagimcp from PyPI and
runs it in HTTP mode. The container respects $PORT so it works on any
platform that injects one (Railway, Render, Cloud Run, Fly.io, etc.).
Build and run locally:
docker build -t kagimcp-hosted .
docker run --rm -p 8000:8000 kagimcp-hosted
Smoke test:
curl -sL http://127.0.0.1:8000/mcp -X POST \
-H "authorization: Bearer $KAGI_API_KEY" \
-H "content-type: application/json" \
-H "accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
To bump the version in production, edit the pin in the Dockerfile and redeploy.
Debugging
Inspect the published package:
npx @modelcontextprotocol/inspector uvx kagimcp
Inspect a local checkout:
npx @modelcontextprotocol/inspector uv --directory /ABSOLUTE/PATH/TO/kagimcp run kagimcp
The inspector is usually available at http://localhost:5173.
Prerelease Instructions
If using a prerelease build, the same installation instructions apply, but use uvx --prerelease allow --from kagimcp==1.0.0rc2 kagimcp instead of uvx kagimcp (replace 1.0.0rc2 with whatever version you're wanting to install).
codex mcp add kagi --env KAGI_API_KEY= -- uvx kagimcpBefore it works, you'll need: KAGI_API_KEY
Requirements
-
A Kagi API key in
KAGI_API_KEY. -
uvfor the recommendeduvxinstall path.
Install uv:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Client Setup
Codex CLI
codex mcp add kagi --env KAGI_API_KEY= -- uvx kagimcp
Codex writes MCP configuration to ~/.codex/config.toml.
Claude Desktop
Install uv first.
MacOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Then in your Claude Desktop config (found through Settings -> Developer -> Edit Config):
{
"mcpServers": {
"kagi": {
"command": "uvx",
"args": ["kagimcp"],
"env": {
"KAGI_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
Claude Code
claude mcp add kagi -e KAGI_API_KEY="YOUR_API_KEY_HERE" -- uvx kagimcp
Smithery
npx -y @smithery/cli install kagimcp --client claude
Kiro
Add to your Kiro MCP config file (~/.kiro/settings/mcp.json for global, or .kiro/settings/mcp.json for project-scoped) using the same mcpServers JSON as Claude Desktop . See the Kiro MCP documentation for more details.
OpenCode
Edit the OpenCode configuration file in ~/.config/opencode/opencode.json and add the following:
{
"mcp": {
"kagi": {
"type": "local",
"command": ["uvx", "kagimcp"],
"enabled": true,
"environment": {
"KAGI_API_KEY": " "
}
}
}
}
Usage Examples
-
Search:
Who was Time's 2024 person of the year? -
Extract:
extract the full content of https://en.wikipedia.org/wiki/Model_Context_Protocol
Configuration
Environment variable Description
KAGI_API_KEY Required Kagi API key.
FASTMCP_LOG_LEVEL Logging level, for example ERROR.
KAGI_SEARCH_TIMEOUT Search timeout in seconds. Defaults to 10.
KAGI_EXTRACT_TIMEOUT Extract timeout in seconds. Defaults to 30.
KAGI_MAX_RETRIES Max retry attempts after the first request. Defaults to 2; set 0 to disable retries.
KAGI_HIDDEN_PARAMS Comma-separated search params to hide from the LLM-facing schema.
Hideable search params:
workflow, extract_count, limit, include_domains, exclude_domains, time_relative, after, before, file_type, lens_id
Example:
KAGI_HIDDEN_PARAMS="extract_count,after,before,time_relative,include_domains,exclude_domains"
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.