# Semantic Scholar

> Use this tool when you need to efficiently search and analyze academic papers, authors, and citations to support literature reviews, research discovery, and academic writing. It provides access to a vast database of 200+ million papers, allowing for filtered searches by year, field of study, and citation count. With outputs in markdown and JSON formats, it streamlines research workflows and citation analysis.

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

## Description

Semantic Scholar MCP server provides direct access to Semantic Scholar's database of 200+ million academic papers within Claude Desktop. Built with Python using httpx for API calls and Pydantic for data validation, it offers tools for searching papers with filters (year, field of study, citation count), retrieving detailed paper information including citations, and searching for authors. The implementation supports both markdown and JSON response formats, making it valuable for literature reviews, research discovery, citation analysis, and academic writing workflows.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/smaniches-semantic-scholar)
- **Repository:** <https://github.com/smaniches/semantic-scholar-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": "smaniches-semantic-scholar"
    }
  }
}
```

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