# yacy-mcp

> Use this tool when you need to integrate web search functionality into AI applications, solving problems such as information retrieval and data enrichment. It enables AI models to query a YaCy search engine instance through the Model Context Protocol, accepting search queries as input and returning relevant results as output. This tool is ideal for use cases where decentralized or private web search capabilities are required.

Canonical page: https://skillsregistry.net/skills/koosty-yacy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/koosty-yacy-mcp

## Description

Enables AI applications to perform web searches using a YaCy search engine instance through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g56qerfnjn)
- **Repository:** <https://github.com/koosty/yacy-mcp>

## 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": "koosty-yacy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/koosty-yacy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/koosty-yacy-mcp/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