# Open Source Literature MCP

> Use this tool when you need to streamline your research process with automated literature discovery and screening. It solves problems of manual searching and filtering by ranking relevant papers across OpenAlex, Semantic Scholar, and arXiv, and provides outputs in formats compatible with Zotero. Ideal for researchers seeking to efficiently identify key studies and generate new research ideas.

Canonical page: https://skillsregistry.net/skills/simthw-opensourse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/simthw-opensourse-mcp

## Description

Enables automatic literature discovery, screening, and ranking across OpenAlex, Semantic Scholar, and arXiv, with tools for exporting to Zotero and generating research ideas.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yjizu0u0pm)
- **Repository:** <https://github.com/simthw/opensourse-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": "simthw-opensourse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/simthw-opensourse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/simthw-opensourse-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