# arXiv MCP Server

> Use this tool when you need to efficiently search and retrieve academic papers from arXiv by topic or ID, and integrate AI-powered research capabilities with Google Gemini. It solves problems of manual paper searching and data extraction, providing inputs such as topic keywords or paper IDs and outputs like abstracts and markdown files. Ideal for researchers and academics looking to streamline their literature review process and leverage AI-driven insights.

Canonical page: https://skillsregistry.net/skills/coskun45-mcp  
JSON: https://api.skillsregistry.net/v1/skills/coskun45-mcp

## Description

Enables searching and retrieving arXiv papers by topic, fetching abstracts by paper ID, and saving markdown content to files. Includes examples of integrating MCP tools with Google Gemini for AI-powered paper research.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/emtl1nr8g3)
- **Repository:** <https://github.com/coskun45/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": "coskun45-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/coskun45-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/coskun45-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