# Eyes-MCP

> Use this tool when you need to retrieve accurate and reliable information from multiple online sources, and synthesize answers with proper citations. Eyes-MCP solves the problem of information overload and verification by querying sources like SearXNG, GitHub, Reddit, and YouTube, and returning concise answers. It takes natural language queries as input and outputs synthesized answers with citations, making it ideal for research and knowledge-intensive tasks.

Canonical page: https://skillsregistry.net/skills/ferre-z-eyes-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ferre-z-eyes-mcp

## Description

A research MCP server that enables AI agents to query the internet using multiple sources like SearXNG, GitHub, Reddit, and YouTube, and returns synthesized answers with citations.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/efe6mju9tv)
- **Repository:** <https://github.com/ferre-z/Search-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": "ferre-z-eyes-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ferre-z-eyes-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ferre-z-eyes-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