# Scholar-MCP

> Scholar-MCP — mlintangmz2765-scholar-mcp. Use this tool when you need to facilitate AI-driven scientific research, leveraging a robust MCP server to streamline collaborative projects and version control through git integration. It solves problems related to research data management, collaboration, and reproducibility, providing a centralized platform for scientists to work together. Ideal for large-scale research initiatives, Scholar-MCP accepts research data and code as inputs, producing organized, shareable, and reproducible research outputs.

Canonical page: https://skillsregistry.net/skills/mlintangmz2765-scholar-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mlintangmz2765-scholar-mcp

## Description

MCP Server for AI-driven scientific research

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mlintangmz2765/Scholar-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": "mlintangmz2765-scholar-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mlintangmz2765-scholar-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mlintangmz2765-scholar-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