# mcp-semanticscholar

> Use this tool when you need to retrieve scholarly paper data for research and analysis, as it enables AI agents to query the Semantic Scholar Academic Graph for relevant information. It solves problems related to academic search, paper retrieval, and data analysis, providing valuable insights for research and development. With inputs such as search queries and paper IDs, it outputs relevant paper data, citations, and other scholarly information.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-semanticscholar  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-semanticscholar

## Description

Enables AI agents to query the Semantic Scholar Academic Graph for scholarly paper data, supporting tools for search, retrieval, and analysis.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ncs4anxp5r)
- **Repository:** <https://github.com/pipeworx-io/mcp-semanticscholar>

## 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": "pipeworx-io-mcp-semanticscholar"
    }
  }
}
```

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