# Paper Scout MCP Server

> Use this tool when you need to efficiently review and manage AI research papers from various sources, such as arXiv and Semantic Scholar. It solves the problem of manually searching and filtering relevant papers by scoring them against personal interests, streamlining the research process. The tool integrates with MCP tools in Claude Desktop or Cowork, allowing for seamless paper candidate management and review.

Canonical page: https://skillsregistry.net/skills/jonradoff-paper-scout  
JSON: https://api.skillsregistry.net/v1/skills/jonradoff-paper-scout

## Description

Enables reviewing and managing AI research paper candidates from arXiv, Semantic Scholar, and Hugging Face Daily Papers, scored against personal interests, via MCP tools in Claude Desktop or Cowork.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l9vj0xqy4x)
- **Repository:** <https://github.com/jonradoff/paper-scout>

## 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": "jonradoff-paper-scout"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jonradoff-paper-scout` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jonradoff-paper-scout/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