# kagi-rs

> kagi-rs — kdcokenny-kagi-rs. Use this tool when you need to integrate search and summarization capabilities into your apps or AI agents, as it provides a Rust SDK and MCP server for seamless Kagi functionality. It solves problems related to efficient information retrieval and condensation, enabling use cases such as intelligent search, content summarization, and data analysis. With git integration, it accepts input data and outputs condensed, relevant information, making it ideal for applications requiring intelligent information processing.

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

## Description

Rust SDK and MCP server for Kagi search and summarization in apps and AI agents.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kdcokenny/kagi-rs)

## 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": "kdcokenny-kagi-rs"
    }
  }
}
```

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

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt