# DataPilot AI MCP Server

> DataPilot AI MCP Server — drash3103-mcp-datapilotai. Use this tool when you need to analyze data from CSV files using natural language queries, converting complex questions into actionable SQL queries to extract insights. It solves problems of data analysis and interpretation by providing a user-friendly interface to upload CSV files and query them using everyday language. The tool takes CSV files as input and outputs query results, ideal for use cases where data-driven decision-making is required without extensive technical expertise.

Canonical page: https://skillsregistry.net/skills/drash3103-mcp-datapilotai  
JSON: https://api.skillsregistry.net/v1/skills/drash3103-mcp-datapilotai

## Description

Enables natural language data analysis on uploaded CSV files by converting them to SQLite and exposing read-only database tools via MCP. Integrates with Ollama LLM to translate user questions into safe SQL queries.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ei2hzu54jh)
- **Repository:** <https://github.com/drash3103/MCP_DataPilotAI>

## 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": "drash3103-mcp-datapilotai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/drash3103-mcp-datapilotai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/drash3103-mcp-datapilotai/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