PluginBench
MCP Server

io.github.florentine-ai/mcp MCP Server

io.github.florentine-ai/mcp

What is the io.github.florentine-ai/mcp MCP server?

MCP server for Florentine.ai - Natural language to MongoDB aggregations

How to install io.github.florentine-ai/mcp

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • FLORENTINE_TOKEN
    required
    secret

    Your Florentine.ai API key, get it from https://florentine.ai/dashboard

  • LLM_SERVICE

    The LLM service to use, one of 'openai', 'anthropic', 'google' or 'deepseek' (must only be provided if you did not set it in your Florentine.ai account)

  • LLM_KEY
    secret

    Your API key for the LLM service (must only be provided if you did not set it in your Florentine.ai account)

  • SESSION_ID

    Session ID for maintaining server-side context across requests

  • RETURN_TYPES

    Stringified JSON array of return types for the response

  • REQUIRED_INPUTS

    Stringified JSON array of values for required inputs keys

Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@florentine-ai/mcp",
        "-y",
        "@florentine-ai/mcp@latest",
        "--mode",
        "static",
        "--debug",
        "--logpath"
      ],
      "env": {
        "FLORENTINE_TOKEN": "<YOUR_FLORENTINE_TOKEN>",
        "LLM_SERVICE": "<YOUR_LLM_SERVICE>",
        "LLM_KEY": "<YOUR_LLM_KEY>",
        "SESSION_ID": "<YOUR_SESSION_ID>",
        "RETURN_TYPES": "<YOUR_RETURN_TYPES>",
        "REQUIRED_INPUTS": "<YOUR_REQUIRED_INPUTS>"
      }
    }
  }
}
Cursor
~/.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@florentine-ai/mcp",
        "-y",
        "@florentine-ai/mcp@latest",
        "--mode",
        "static",
        "--debug",
        "--logpath"
      ],
      "env": {
        "FLORENTINE_TOKEN": "<YOUR_FLORENTINE_TOKEN>",
        "LLM_SERVICE": "<YOUR_LLM_SERVICE>",
        "LLM_KEY": "<YOUR_LLM_KEY>",
        "SESSION_ID": "<YOUR_SESSION_ID>",
        "RETURN_TYPES": "<YOUR_RETURN_TYPES>",
        "REQUIRED_INPUTS": "<YOUR_REQUIRED_INPUTS>"
      }
    }
  }
}
Windsurf
~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@florentine-ai/mcp",
        "-y",
        "@florentine-ai/mcp@latest",
        "--mode",
        "static",
        "--debug",
        "--logpath"
      ],
      "env": {
        "FLORENTINE_TOKEN": "<YOUR_FLORENTINE_TOKEN>",
        "LLM_SERVICE": "<YOUR_LLM_SERVICE>",
        "LLM_KEY": "<YOUR_LLM_KEY>",
        "SESSION_ID": "<YOUR_SESSION_ID>",
        "RETURN_TYPES": "<YOUR_RETURN_TYPES>",
        "REQUIRED_INPUTS": "<YOUR_REQUIRED_INPUTS>"
      }
    }
  }
}
VS Code
.vscode/mcp.json
{
  "servers": {
    "mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@florentine-ai/mcp",
        "-y",
        "@florentine-ai/mcp@latest",
        "--mode",
        "static",
        "--debug",
        "--logpath"
      ],
      "env": {
        "FLORENTINE_TOKEN": "<YOUR_FLORENTINE_TOKEN>",
        "LLM_SERVICE": "<YOUR_LLM_SERVICE>",
        "LLM_KEY": "<YOUR_LLM_KEY>",
        "SESSION_ID": "<YOUR_SESSION_ID>",
        "RETURN_TYPES": "<YOUR_RETURN_TYPES>",
        "REQUIRED_INPUTS": "<YOUR_REQUIRED_INPUTS>"
      }
    }
  }
}
Claude Code
claude mcp add mcp --env FLORENTINE_TOKEN=<YOUR_FLORENTINE_TOKEN> --env LLM_SERVICE=<YOUR_LLM_SERVICE> --env LLM_KEY=<YOUR_LLM_KEY> --env SESSION_ID=<YOUR_SESSION_ID> --env RETURN_TYPES=<YOUR_RETURN_TYPES> --env REQUIRED_INPUTS=<YOUR_REQUIRED_INPUTS> -- npx -y @florentine-ai/mcp -y @florentine-ai/mcp@latest --mode static --debug --logpath

Related MCP servers

Give your AI agent stealth web scraping with Cloudflare bypass and CSS selection, powered by Scrapling.

67k
Python
BSD-3-Clause
View repository →

Give your AI coding agent full control of a live Chrome browser for automation, debugging, and performance analysis.

45k
TypeScript
Apache-2.0
View repository →

Let AI agents manage your Puter files, websites, and serverless workers over MCP.

43k
TypeScript
AGPL-3.0
View repository →

Browser automation for AI agents via MCP, powering ByteDance's Agent TARS hybrid GUI/DOM browser control.

37k
TypeScript
Apache-2.0
View repository →

Run arbitrary shell commands from an MCP-connected AI agent.

37k
TypeScript
Apache-2.0
View repository →

Filesystem access MCP server from ByteDance's UI-TARS/Agent TARS ecosystem.

37k
TypeScript
Apache-2.0
View repository →