# Research MCP Server

> Use this tool when you need to efficiently search and manage academic papers from arXiv for literature reviews. It solves problems of information overload and streamlines the research process by providing tools, resources, and prompt templates. With input of search queries and output of relevant paper results, it is ideal for researchers and students conducting academic studies.

Canonical page: https://skillsregistry.net/skills/vivedhaelango-mcp-research-server  
JSON: https://api.skillsregistry.net/v1/skills/vivedhaelango-mcp-research-server

## Description

Enables searching and managing academic papers from arXiv with tools, resources, and prompt templates for literature review.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w7gnjunhc0)
- **Repository:** <https://github.com/VivedhaElango/MCP_research_server>

## 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": "vivedhaelango-mcp-research-server"
    }
  }
}
```

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