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filesystem vs orionbelt-semantic-layer

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

filesystem
by modelcontextprotocol
orionbelt-semantic-layer
by ralfbecher
Stars★ 85,748★ 46
30d uses
Score7745
Official
Categories
File SystemDeveloper ToolsProductivity
Developer ToolsKnowledge GraphAI / LLM Tools
LanguageTypeScriptPython
Last committhis monththis month

filesystem · Summary

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

orionbelt-semantic-layer · Summary

OrionBelt Semantic Layer converts YAML semantic models to optimized SQL for multiple databases via MCP API.

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

orionbelt-semantic-layer · Use cases

  • Business intelligence and analytics teams creating semantic models for multiple database platforms
  • AI agents and assistants needing to translate business questions to optimized SQL queries
  • Organizations implementing analytics as code with version-controlled semantic definitions

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.

orionbelt-semantic-layer · Install

Install the OrionBelt MCP server via the separate MCP client:

pip install orionbelt-semantic-layer-mcp

Add to Claude Desktop claude_desktop_config.json:

{
  "mcpServers": {
    "orionbelt": {
      "command": "uvx",
      "args": ["orionbelt-semantic-layer-mcp"]
    }
  }
}

The main semantic layer API can be installed directly:

pip install orionbelt-semantic-layer

Or via Docker:

docker run -p 8080:8080 ralforion/orionbelt-api
Comparison generated from public README + GitHub signals. Last updated automatically.