filesystem vs orionbelt-analytics
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | orionbelt-analytics by ralfbecher | |
|---|---|---|
| Stars | ★ 85,748 | ★ 29 |
| 30d uses | — | — |
| Score | 77 | 45 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | DatabaseDeveloper ToolsKnowledge Graph |
| 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-analytics · Summary
Ontology-based MCP server analyzing database schemas and generating RDF/OWL ontologies with SQL mappings for Text-to-SQL.
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-analytics · Use cases
- Enterprise data analysis with natural language queries across multiple database systems
- Schema analysis and ontology generation for knowledge graph applications
- Automated SQL validation with fan-trap prevention to ensure query correctness
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-analytics · Install
Installation
git clone https://github.com/ralfbecher/orionbelt-analytics
cd orionbelt-analytics
uv syncConfigure environment variables:
cp .env.template .envRun the server:
uv run server.pyFor Claude Desktop, add to your claude_desktop_config.json:
{
"mcpServers": {
"OrionBelt-Analytics": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:9000/mcp",
"--transport",
"http-only"
]
}
}
}