qdrant-mcp-server vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
qdrant-mcp-server by mhalder | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 32 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | SearchAI / LLM ToolsDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
qdrant-mcp-server · Summary
MCP server for semantic search using Qdrant vector database with multiple embedding providers.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
qdrant-mcp-server · Use cases
- Semantic code search in large codebases with AST-aware chunking
- Git history search to find past changes, fixes, and patterns
- Building knowledge bases and RAG applications with local vector storage
- Cross-repository federated search with Reciprocal Rank Fusion
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
qdrant-mcp-server · Install
Installation
Prerequisites
- Node.js 22.x or 24.x
- Podman or Docker with Compose support
Steps
# Clone and install
git clone https://github.com/mhalder/qdrant-mcp-server.git
cd qdrant-mcp-server
npm install
# Start services
podman compose up -d # Using Podman
docker compose up -d # Using Docker
# Pull the embedding model
podman exec ollama ollama pull nomic-embed-text
# Build
npm run buildClaude Desktop Configuration
Add to ~/.claude.json:
{
"mcpServers": {
"qdrant": {
"type": "stdio",
"command": "node",
"args": ["/path/to/qdrant-mcp-server/build/index.js"]
}
}
}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.