# Academic Search MCP

> Use this tool when you need to efficiently search and analyze academic literature, as it solves problems of information overload and citation tracking by providing relevance filters, batch metadata retrieval, and citation-graph recommendations through a simple interface that takes search queries as input and outputs relevant academic papers and metadata. It is ideal for researchers, students, and academics looking to streamline their literature review process.

Canonical page: https://skillsregistry.net/skills/ociupitu-academic-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ociupitu-academic-search-mcp

## Description

Enables searching academic literature via Semantic Scholar with relevance filters, batch metadata retrieval, and citation-graph recommendations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nb7nuci0jo)
- **Repository:** <https://github.com/ociupitu/academic-search-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": "ociupitu-academic-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ociupitu-academic-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ociupitu-academic-search-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