# refd

> refd — ai-refd-refd. Use this tool when you need to analyze AI search visibility, track competitors, and gather evidence for answers. It provides insights into citations, prompts, and answer evidence, helping you optimize your search strategy and improve performance. By utilizing refd, you can inform your decision-making with data-driven information and stay ahead in search engine rankings.

Canonical page: https://skillsregistry.net/skills/ai-refd-refd  
JSON: https://api.skillsregistry.net/v1/skills/ai-refd-refd

## Description

Read AI search visibility, competitors, and citations from refd; manage tracked prompts.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.refd%2Frefd)
- **Repository:** <https://github.com/emaitchess/refd>

## Use it

MCP endpoint published by the skill: `https://api.refd.ai/mcp`

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": "ai-refd-refd"
    }
  }
}
```

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