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everything vs orionbelt-semantic-layer

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

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

everything · Summary

Official MCP test server exercising all protocol features for client builders.

orionbelt-semantic-layer · Summary

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

everything · Use cases

  • Testing MCP client implementations against all protocol features
  • Learning MCP protocol capabilities through a reference server
  • Validating client compatibility with different transport methods

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

everything · Install

NPX (recommended)

{
  "mcpServers": {
    "everything": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-everything"]
    }
  }
}

On Windows, use cmd /c:

{
  "mcpServers": {
    "everything": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
    }
  }
}

Docker

{
  "mcpServers": {
    "everything": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "mcp/everything"]
    }
  }
}

Global install

npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everything

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.