# semantic-scholar-mcp

> Use this tool when you need to search and retrieve academic papers from various publishers, leveraging Semantic Scholar's database to find relevant research and download PDFs. It solves problems of accessing scholarly articles and research papers from multiple sources, streamlining the search process. Ideal for researchers, students, and academics requiring quick access to academic literature.

Canonical page: https://skillsregistry.net/skills/cktbarking-semanticmcp  
JSON: https://api.skillsregistry.net/v1/skills/cktbarking-semanticmcp

## Description

Enables searching academic papers on Semantic Scholar and downloading their PDFs, with support for multiple publishers.

## 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/jl3br16msh)
- **Repository:** <https://github.com/cktbarking/semanticMCP>

## 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": "cktbarking-semanticmcp"
    }
  }
}
```

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