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 | — | — |
| Score | 77 | 45 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | Developer ToolsKnowledge GraphAI / LLM Tools |
| Language | TypeScript | Python |
| Last commit | this month | this 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-mcpAdd 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-layerOr via Docker:
docker run -p 8080:8080 ralforion/orionbelt-api