# Research Server

> Use this tool when you need to efficiently search and retrieve metadata from arXiv papers, solving problems of information overload and streamlining research workflows. It takes search queries as input and outputs relevant paper metadata, providing a user-friendly interface for MCP tools. Ideal for researchers and scholars requiring quick access to academic papers and their associated data.

Canonical page: https://skillsregistry.net/skills/akhileshvj-mcpchatbotforpapers  
JSON: https://api.skillsregistry.net/v1/skills/akhileshvj-mcpchatbotforpapers

## Description

Enables searching arXiv papers and retrieving paper metadata through MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q3qsm1lc48)
- **Repository:** <https://github.com/akhileshvj/MCPChatbotForPapers>

## 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": "akhileshvj-mcpchatbotforpapers"
    }
  }
}
```

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