flapi vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	flapi by DataZooDE	filesystem by modelcontextprotocol
Stars	★ 70	★ 85,748
30d uses	—	—
Score	46	77
Official	—	✓
Categories	DatabaseDeveloper ToolsAI / LLM Tools	File SystemDeveloper ToolsProductivity
Language	C++	TypeScript
Last commit	this month	this month

flapi · Summary

flAPI generates SQL-based APIs with DuckDB and provides MCP tools for AI agents.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

flapi · Use cases

Creating APIs for large datasets without writing custom backend code
Building data tools for AI agents with SQL-based access
Exposing enterprise data sources as secure endpoints with authentication

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

flapi · Install

Installation

The easiest way to try flAPI is using uvx:

uvx --from flapi-io flapi -c flapi.yaml

Or install permanently:

pip install flapi-io

Using Docker:

docker pull ghcr.io/datazoode/flapi:latest
docker run -it --rm -p 8080:8080 -p 8081:8081 -v $(pwd)/examples/:/config ghcr.io/datazoode/flapi -c /config/flapi.yaml --enable-mcp

Claude Desktop Configuration

Add to your Claude Desktop config.json:

{
  "mcpServers": {
    "flapi": {
      "command": "flapi",
      "args": ["--enable-mcp"]
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.