knowledge-rag vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
knowledge-rag by lyonzin | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 79 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsSearchAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
knowledge-rag · Summary
Knowledge RAG is a local-first RAG system with 12 MCP tools for document search and retrieval across 20+ file formats.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
knowledge-rag · Use cases
- Local document search across code repositories, research papers, and knowledge bases
- Knowledge management for developers with real-time search across project files
- Research tool for analyzing large collections of documents without cloud dependencies
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
knowledge-rag · Install
Install knowledge-rag via pip:
pip install knowledge-ragFor Claude Desktop, add to your claude_desktop_config.json:
{
"mcpServers": {
"knowledge-rag": {
"command": "python",
"args": ["-m", "knowledge_rag.server"],
"env": {}
}
}
}Also available via NPM, Docker, and one-line installer.
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.