Summary
Two different jobs, kept apart: get an answer, or get material.
FastGPT returns a resolved answer; the enrichment endpoints return content for the model to reason over. Keeping them as separate tools means a quick factual check and a research pass do not have to go down the same path.
What it is
An MCP server over the Kagi API, exposing three of its endpoints: FastGPT for answered questions, and the web and news enrichment endpoints for content.
What you get
- A question put to Kagi's FastGPT and answered, rather than returned as a list of links
- Web content pulled in to enrich the model's context on a topic
- Recent news content pulled in the same way, when currency is what the question turns on
- Kagi's own index behind all three, rather than a scrape of somebody else's results
Requirements
A Kagi API key, supplied in the client config; Kagi bills API usage on its own terms. Install through Smithery in one command, or run it with uv from a local checkout.
Setup effort
One command plus a key — npx -y @smithery/cli install kagi-mcp --client claude, then supply credentials