
florentine-ai/mcp
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The Florentine.ai Model Context Protocol (MCP) Server lets you integrate directly into your custom AI Agent or AI Desktop App.
概要
The Florentine.ai Model Context Protocol (MCP) Server lets you integrate directly into your custom AI Agent or AI Desktop App.
README
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Florentine.ai MCP Server - Talk to your MongoDB & MySQL data
The Florentine.ai Model Context Protocol (MCP) Server lets you integrate natural language querying for your MongoDB & MySQL data directly into your custom AI Agent or AI Desktop App.
Questions are forwarded by the AI Agent to the MCP Server, transformed into database queries and the query results are returned to the agent for further processing.
Also has a couple of extra features under the hood, e.g.:
- Secure data separation for multi-tenant usage
- Automated schema exploration
- Semantic vector search/RAG support with automated embedding creation
- Advanced lookup support
- Exclusion of keys
Note: If you are looking for our API you can find it here.
Contents
- Prerequisites
- Installation
- Available Tools
- Arguments
- Authentication
- Connect your LLM account
- Integration Modes
- Return Types
- Secure Data Separation for multi-tenant usage
- Sessions
- Errors
Prerequisites
- Node.js >= v18.0.0
- A Florentine.ai account (create a free account here)
- A connected database and at least one analyzed and activated collection/table in your Florentine.ai account
- A Florentine.ai API Key (you can find yours on your account dashboard)
Installation
A detailed documentation of the MCP Server can be found here in our docs.
You can easily run the server using npx. See the following example for Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"florentine": {
"command": "npx",
"args": ["-y", "@florentine-ai/mcp", "--mode", "static"],
インストール
npx -y @florentine-ai/mcp --mode static設定
{
"mcpServers": {
"florentine": {
"command": "npx",
"args": ["-y", "@florentine-ai/mcp", "--mode", "static"],
"env": {
"FLORENTINE_TOKEN": "<FLORENTINE_API_KEY>"
}
}
}
}