filesystem vs mcp-server-qdrant

Side-by-side comparison to help you pick between these two MCP servers.

	filesystem by modelcontextprotocol	mcp-server-qdrant by qdrant
Stars	★ 85,748	★ 1,397
30d uses	—	—
Score	77	55
Official	✓	—
Categories	File SystemDeveloper ToolsProductivity	DatabaseAI / LLM ToolsDeveloper Tools
Language	TypeScript	Python
Last commit	this month	1 mo ago

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

mcp-server-qdrant · Summary

Official Qdrant MCP server for semantic memory storage and retrieval using vector embeddings.

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

mcp-server-qdrant · Use cases

Building AI applications with long-term memory capabilities
Code search and retrieval for development environments
Enhancing LLM applications with vector-based semantic search

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.

mcp-server-qdrant · Install

Installation Options

Using uvx

QDRANT_URL="http://localhost:6333" \
COLLECTION_NAME="my-collection" \
EMBEDDING_MODEL="sentence-transformers/all-MiniLM-L6-v2" \
uvx mcp-server-qdrant

Using Docker

docker build -t mcp-server-qdrant .
docker run -p 8000:8000 \
  -e FASTMCP_SERVER_HOST="0.0.0.0" \
  -e QDRANT_URL="http://your-qdrant-server:6333" \
  -e QDRANT_API_KEY="your-api-key" \
  -e COLLECTION_NAME="your-collection" \
  mcp-server-qdrant

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "qdrant": {
    "command": "uvx",
    "args": ["mcp-server-qdrant"],
    "env": {
      "QDRANT_URL": "https://xyz-example.eu-central.aws.cloud.qdrant.io:6333",
      "QDRANT_API_KEY": "your_api_key",
      "COLLECTION_NAME": "your-collection-name",
      "EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.