Build Your Own Qdrant Vector Store MCP Server

Supercharge your Qdrant vector search — with full control.

This automation uses an MCP server and a set of five custom workflow tools to handle complex vector search operations through Qdrant. Combining built-in n8n nodes and direct API calls, it enables you to manage inserts, run advanced searches, and serve intelligent recommendations with ease.

Ideal for teams building custom AI search, recommendation engines, or analytics dashboards with vector data.

What it does:

📥 Inserts documents and runs similarity searches via Qdrant nodes
🧠 Uses direct API calls for Facet Search, Group Search, and Recommendations
🛠 Combines multiple n8n tools into reusable custom workflow blocks
🧾 Aggregates and edits responses to fit your MCP client format
⚙️ Built for scalability with five custom tools per operation

✅ Setup guide & importable automation included

Need help setting it up? We offer full configuration and testing for a one-time fee.