# com.it.dpf/mcp-server

> Use this tool when you need to integrate and process large datasets using AI-powered workflows. It solves problems related to data onboarding, processing, and analysis by providing a platform to run DPF data workflows. The tool takes in data sources and user inputs, and outputs integrated and processed data, making it ideal for use cases that require automated data integration and analysis.

Canonical page: https://skillsregistry.net/skills/com-it-dpf-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/com-it-dpf-mcp-server

## Description

AI-powered data integration platform. Onboard users and run DPF data workflows.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-06-21

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.it.dpf%2Fmcp-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": "com-it-dpf-mcp-server"
    }
  }
}
```

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