# Florentine.ai - Talk to your MongoDB data

> Use this tool when you need to effortlessly query and analyze your MongoDB data using natural language, converting queries into functional aggregations and retrieving meaningful results. It solves problems of complex data querying, multi-tenant data separation, and advanced lookup requirements. Ideal for use cases where intuitive data interaction is crucial, such as data exploration, analytics, and reporting.

Canonical page: https://skillsregistry.net/skills/florentine-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/florentine-ai-mcp

## Description

Natural language to MongoDB aggregations and aggregation results that actually work.

Has a couple of extra features under the hood besides "only" providing natural language to aggregation conversion:
- secure data separation for multi-tenant usage
- semantic vector search/RAG support with automated embedding creation
- advanced lookup support
- exclusion of keys
- and more...

## 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:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/florentine-ai/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": "florentine-ai-mcp"
    }
  }
}
```

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