# celp-mcp

> Use this tool when you need to analyze data from various warehouses using natural language queries, converting questions into actionable database plans. It solves problems of complex data analysis by providing a simple interface to SQL, MongoDB, and Databricks warehouses, returning results as markdown reports. Ideal for use cases where users require intuitive and accessible data insights without needing to write complex queries.

Canonical page: https://skillsregistry.net/skills/celpai-celp-mcp  
JSON: https://api.skillsregistry.net/v1/skills/celpai-celp-mcp

## Description

Celp-MCP enables natural-language analytics over SQL, MongoDB, and Databricks warehouses through MCP-compatible clients, converting questions into multi-step database plans and returning markdown reports.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h1550wg7vp)
- **Repository:** <https://github.com/CelpAI/celp-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": "celpai-celp-mcp"
    }
  }
}
```

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