# DataSnipe MCP

> DataSnipe MCP — app-datasnipe-datasnipe-mcp. Use this tool when you need to extract specific data points from unstructured text in research papers and documents. The DataSnipe MCP utilizes a large language model (LLM) to identify and retrieve structured data, solving problems of manual data extraction and information overload. It takes in documents and outputs organized data points, ideal for use cases requiring efficient data mining and analysis.

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

## Description

Extract structured data points from research papers and other documents with an LLM.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.datasnipe%2Fdatasnipe-mcp)

## Use it

MCP endpoint published by the skill: `https://datasnipe.app/mcp`

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": "app-datasnipe-datasnipe-mcp"
    }
  }
}
```

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