# OmniData MCP

> OmniData MCP — mostafaai10-omnidata-mcp. Use this tool when you need to securely and efficiently manage data engineering and analytics tasks, such as querying, profiling, transforming, and visualizing data, while maintaining data privacy and security. The OmniData MCP server enables read-only, bounded, and audited operations, keeping raw data out of the model's context. It is ideal for use cases requiring data analysis and processing with limited data exposure, using interfaces like DuckDB and PySpark.

Canonical page: https://skillsregistry.net/skills/mostafaai10-omnidata-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mostafaai10-omnidata-mcp

## Description

A unified Model Context Protocol server for data engineering and analytics that lets LLM clients query, profile, transform, and visualize data using DuckDB and PySpark, while keeping raw data out of the model's context through read-only, bounded, and audited operations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f2790oskwq)
- **Repository:** <https://github.com/MostafaAI10/OmniData-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": "mostafaai10-omnidata-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mostafaai10-omnidata-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mostafaai10-omnidata-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
