# Academic Paper MCP HTTP/SSE Server

> Use this tool when you need to retrieve and analyze academic literature from multiple sources. It solves problems of fragmented information and tedious searches by aggregating data from arXiv, Crossref, OpenAlex, PubMed, and Semantic Scholar, providing outputs such as search results, paper details, citations, trends, and recommendations through an HTTP/SSE interface. Ideal for research and academic purposes, it streamlines the process of finding and understanding relevant scholarly papers.

Canonical page: https://skillsregistry.net/skills/pastchais-academic-paper-mcp-http  
JSON: https://api.skillsregistry.net/v1/skills/pastchais-academic-paper-mcp-http

## Description

A MCP server for academic literature retrieval, aggregating multiple data sources like arXiv, Crossref, OpenAlex, PubMed, and Semantic Scholar to provide search, details, citations, trends, and recommendations.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vn50qjhki4)
- **Repository:** <https://github.com/pastchais/academic-paper-mcp-http>

## 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": "pastchais-academic-paper-mcp-http"
    }
  }
}
```

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