# Lune Research

> Use this tool when you need to find credible sources and research methodology guidance to inform your decisions or projects. Lune Research solves problems of information overload and methodology uncertainty by providing access to peer-reviewed papers and expert guidance. It takes in research topics or questions as input and outputs relevant papers and methodology advice, making it ideal for academic, professional, or personal research projects.

Canonical page: https://skillsregistry.net/skills/com-luneresearch-lune  
JSON: https://api.skillsregistry.net/v1/skills/com-luneresearch-lune

## Description

Search peer-reviewed papers and research methodology guidance from your AI agent.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.2.3
- **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/com.luneresearch%2Flune)
- **Repository:** <https://github.com/RetrogradeLabs/lune-mcp-server>

## Use it

MCP endpoint published by the skill: `https://mcp.luneresearch.com/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": "com-luneresearch-lune"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-luneresearch-lune` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-luneresearch-lune/pull`

---
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