data-api-builder vs mcp-server-qdrant
Side-by-side comparison to help you pick between these two MCP servers.
data-api-builder by Azure | mcp-server-qdrant by qdrant | |
|---|---|---|
| Stars | ★ 1,410 | ★ 1,397 |
| 30d uses | — | — |
| Score | 53 | 55 |
| Official | — | — |
| Categories | DatabaseDeveloper ToolsCloud Storage | DatabaseAI / LLM ToolsDeveloper Tools |
| Language | C# | Python |
| Last commit | this month | 1 mo ago |
data-api-builder · Summary
Azure's Data API Builder provides REST and GraphQL endpoints for Azure databases with upcoming MCP tools support.
mcp-server-qdrant · Summary
Official Qdrant MCP server for semantic memory storage and retrieval using vector embeddings.
data-api-builder · Use cases
- Create REST and GraphQL APIs for Azure databases
- Build secure data access layers for applications
- Generate API endpoints for on-premises databases in any cloud
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
data-api-builder · Install
- Install .NET 8 or later runtime: https://get.dot.net
- Install the DAB command line tool:
``sh dotnet tool install microsoft.dataapibuilder -g ``
- Initialize and configure DAB with:
``sh dab init --database-type mssql --connection-string "@env('my-connection-string')" --host-mode development ``
- Add your database entities and start the server:
``sh dab add Todo --source "dbo.Todo" --permissions "anonymous:*" dab start ``
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-qdrantUsing 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-qdrantClaude 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"
}
}
}