# Semantic Scholar MCP Server

> Use this tool when you need to efficiently retrieve academic papers, authors, and citations from Semantic Scholar. It solves problems related to research and information gathering by providing a cached and rate-limited interface to Semantic Scholar's data via HTTP requests. Ideal for use cases requiring fast and reliable access to academic literature, such as research projects, paper recommendations, and citation analysis.

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

## Description

Enables searching and retrieving academic papers, authors, citations, and references from Semantic Scholar via an HTTP MCP server with caching and rate limiting.

## 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/lveube8qft)
- **Repository:** <https://github.com/truaxki/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": "truaxki-semantic-scholar-mcp"
    }
  }
}
```

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