# Scholarly Research Tools

> Use this tool when you need to streamline scholarly research by accessing multiple APIs through a unified interface, solving problems such as publication lookup, researcher profile queries, and paper searches. It takes in inputs like DOIs, ORCID profiles, and keywords, and outputs relevant titles, abstracts, and publication lists. Ideal for use cases requiring efficient retrieval of academic publications and researcher information, supporting various transport protocols for flexible integration.

Canonical page: https://skillsregistry.net/skills/jeanpetity-scholarly-research-tools  
JSON: https://api.skillsregistry.net/v1/skills/jeanpetity-scholarly-research-tools

## Description

Provides unified access to three scholarly research APIs through a FastMCP-based architecture. Supports DOI-based publication lookup via Crossref for retrieving titles and abstracts, ORCID profile queries for listing a researcher's published works, and keyword-based paper search through Semantic Scholar. Built in Python with support for stdio, HTTP, SSE, and streamable-http transport protocols.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jeanpetity-scholarly-research-tools)
- **Repository:** <https://github.com/jeanpetity/mcp-server>

## 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": "jeanpetity-scholarly-research-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jeanpetity-scholarly-research-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jeanpetity-scholarly-research-tools/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