owl-mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
owl-mcp by ai4curation | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 15 | ★ 85,748 |
| 30d uses | — | — |
| Score | 39 | 77 |
| Official | — | ✓ |
| Categories | Knowledge GraphDeveloper ToolsAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 12 mo ago | this month |
owl-mcp · Summary
OWL-MCP enables AI assistants to interact with OWL ontologies via standardized MCP protocol.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
owl-mcp · Use cases
- AI-assisted ontology development and management
- Automated annotation and classification using existing ontologies
- Collaborative knowledge graph building with AI integration
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
owl-mcp · Install
Installation
- Install Goose (Desktop or CLI version) from [goose installation](https://block.github.io/goose/docs/getting-started/installation/)
- Set up an LLM provider (Anthropic recommended)
- Install OWL-MCP extension in Goose:
- Direct install: [Install OWL-MCP](goose://extension?cmd=uvx&arg=owl-mcp&id=owl_mcp&name=OWL%20MCP) - Manual: Add uvx owl-mcp to the Extension section of Goose
- Start using the extension to create and manage OWL ontologies
Claude Desktop Configuration
{
"mcpServers": {
"owl-mcp": {
"command": "uvx",
"args": ["owl-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.