# ScholarMCP

> Use this tool when you need to conduct thorough literature research and analyze academic papers. ScholarMCP solves problems related to finding and organizing relevant research, extracting key information, and managing citations by providing a comprehensive search and parsing pipeline. It accepts search queries and paper inputs, and outputs structured data, bibliographies, and full-text PDFs, making it ideal for researchers, academics, and students in various fields.

Canonical page: https://skillsregistry.net/skills/lstudlo-scholar  
JSON: https://api.skillsregistry.net/v1/skills/lstudlo-scholar

## Description

Provides comprehensive literature research capabilities by integrating Google Scholar scraping with academic APIs (OpenAlex, Crossref, Semantic Scholar) to enable federated paper search, author profile retrieval, and full-text PDF ingestion with structured extraction. Features a multi-tier parsing pipeline (GROBID, Python sidecar, simple fallback) for document processing, citation management tools for building bibliographies and validating manuscript references, and granular content extraction for claims, methods, and limitations from parsed papers. Supports both stdio and HTTP transports with configurable rate limiting.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lstudlo-scholar)
- **Repository:** <https://github.com/lstudlo/scholarmcp>

## 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": "lstudlo-scholar"
    }
  }
}
```

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