# Scientific Paper Analyzer (Gemini)

> Use this tool when you need to search, analyze, and explore academic research papers through natural language interaction. It solves problems such as finding relevant papers, understanding citation graphs, and retrieving detailed paper information, making it ideal for researchers and students. The tool takes in search queries and API keys as inputs and outputs formatted paper information and analysis results through a standardized interface.

Canonical page: https://skillsregistry.net/skills/scientific-paper-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/scientific-paper-analyzer

## Description

Scientific Paper Analyzer integrates with Google's Gemini API to enable AI assistants to search, analyze and explore academic research papers. Built with FastAPI and FastMCP, it provides tools for paper searching, citation graph analysis, and detailed paper information retrieval through a standardized interface. The implementation features robust error handling, API key management, and clean response formatting, making it valuable for researchers and students who want to explore scientific literature through natural language interaction.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/scientific-paper-analyzer)
- **Repository:** <https://github.com/priteshshah96/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": "scientific-paper-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scientific-paper-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scientific-paper-analyzer/pull`

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