# Kagi Search

> Use this tool when you need to integrate high-quality, privacy-focused search capabilities into your AI-assisted workflows, providing access to up-to-date web information for informed decision-making and analysis. It solves problems of data gathering and research by offering advanced search features through a standardized interface. The Kagi Search tool takes in search queries and returns relevant, accurate results, making it ideal for researchers, developers, and professionals seeking reliable web data.

Canonical page: https://skillsregistry.net/skills/kagisearch-kagi  
JSON: https://api.skillsregistry.net/v1/skills/kagisearch-kagi

## Description

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.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-05

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kagisearch-kagi)
- **Repository:** <https://github.com/kagisearch/kagimcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kagisearch-kagi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kagisearch-kagi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kagisearch-kagi/pull`

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