# Semantic Scholar

> Use this tool when you need to search and analyze scientific literature, retrieve paper and author details, or explore citation networks. It solves problems of inefficient research and information gathering by providing a direct interface to the Semantic Scholar database, allowing for keyword searches and metadata retrieval. It is ideal for researchers and academics seeking to streamline their literature review process within an AI assistant interface.

Canonical page: https://skillsregistry.net/skills/jackkuo666-semanticscholar  
JSON: https://api.skillsregistry.net/v1/skills/jackkuo666-semanticscholar

## Description

Semantic Scholar MCP Server provides a bridge between AI assistants and the Semantic Scholar academic research database, enabling paper searches, retrieval of paper/author details, and analysis of citations and references. Built with FastMCP and asynchronous processing, it exposes tools for querying papers by keyword, accessing detailed metadata about specific papers and authors, and exploring citation networks. This implementation is particularly valuable for researchers and academics who need to search and analyze scientific literature without leaving their AI assistant interface.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jackkuo666-semanticscholar)
- **Repository:** <https://github.com/jackkuo666/semanticscholar-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": "jackkuo666-semanticscholar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jackkuo666-semanticscholar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jackkuo666-semanticscholar/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