# mcp-paperswithcode

> mcp-paperswithcode — pipeworx-io-mcp-paperswithcode. Use this tool when you need to explore and implement machine learning research papers, as it provides a comprehensive repository of papers along with their corresponding code implementations, allowing for easy browsing and integration with git repositories. This tool solves the problem of bridging the gap between theoretical research and practical implementation, enabling users to replicate and build upon existing work. It takes in search queries and paper topics as input, and outputs relevant papers and their associated code repositories.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-paperswithcode  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-paperswithcode

## Description

Papers With Code MCP — browse ML research papers and their code repositories

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-paperswithcode)

## 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": "pipeworx-io-mcp-paperswithcode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-paperswithcode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-paperswithcode/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