# Semantic Scholar MCP Server

> Use this tool when you need to retrieve detailed information about academic papers, authors, and citations. It solves problems related to academic research, paper discovery, and citation analysis by providing access to the Semantic Scholar Academic Graph API. The tool takes search queries as input and returns detailed information about papers, authors, citations, and references as output.

Canonical page: https://skillsregistry.net/skills/fegizii-semanticscholarmcp  
JSON: https://api.skillsregistry.net/v1/skills/fegizii-semanticscholarmcp

## Description

Enables access to the Semantic Scholar Academic Graph API for searching and retrieving detailed information about academic papers, authors, citations, and references.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **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:** [Glama](https://glama.ai/mcp/servers/kbhjstcjvs)
- **Repository:** <https://github.com/fegizii/SemanticScholarMCP>

## 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": "fegizii-semanticscholarmcp"
    }
  }
}
```

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