# Research Tracker MCP Server

> Use this tool when you need to analyze and discover research ecosystems, extract metadata, and find related papers, code, and authors across multiple platforms. It solves problems of research discovery, citation tracking, and collaboration by providing a unified interface for metadata extraction and analysis. The tool takes in paper URLs, GitHub repositories, and research names as inputs and outputs related research assets, such as papers, code repositories, models, and datasets.

Canonical page: https://skillsregistry.net/skills/vupatel08-research-mcp-tool  
JSON: https://api.skillsregistry.net/v1/skills/vupatel08-research-mcp-tool

## Description

Enables discovery and analysis of research ecosystems by extracting metadata from paper URLs, GitHub repositories, and research names. Automatically finds related papers, code repositories, models, datasets, and authors across platforms like arXiv, HuggingFace, and GitHub.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/blbmdj76zg)
- **Repository:** <https://github.com/vupatel08/research-mcp-tool>

## 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": "vupatel08-research-mcp-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vupatel08-research-mcp-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vupatel08-research-mcp-tool/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
