pulsemcp Safe content atomic mcp-remote

Kagi Search

This Kagi MCP server, developed by Rehan Ali Rana at Kagi Search, integrates the Kagi API into AI-assisted workflows. Built with Python and leveraging libraries like httpx and pydantic, it provides a standardized interface for accessing Kagi's search capabilities through Claude Desktop and compatible MCP clients. The implementation supports Kagi's advanced search features and is designed for easy setup and use. It's particularly useful for researchers, developers, and professionals looking to incorporate high-quality, privacy-focused search results into their AI-assisted applications, enabling more informed decision-making and analysis based on up-to-date web information.

Cognium trust score

65%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: search
Source: PulseMCP
Repository: github.com/kagisearch/kagimcp
Author type: human
Updated: 2026-05-05

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MCP

Resolve Kagi Search from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"