How do I find my Qdrant URL and API Key?

For **Qdrant Cloud**: Go to the Qdrant Cloud Console, select your cluster to open the Cluster Detail Page. The endpoint will be displayed there (e.g., `xyz.us-east4-0.gcp.cloud.qdrant.io`), and you can generate Database API Keys underneath it (they start with `eyJhb`). For **Self-hosted**: Provide your custom URL and the static custom key you defined in your `config.yaml`.

Can my AI use this for a RAG architecture directly?

Yes contextually, but practically your agent acts as the database debugger. It can formulate vector arrays to query `search_points`, retrieving identical payload structures. It's meant for the *engineer building the RAG*, helping you inspect distances and debug faulty retrieval mechanisms mid-code.

Does it support deleting vectors?

Yes. If an embedding got corrupted or references dropped articles, use the `delete` tool. Pass the collection name and the list of specific IDs. Qdrant handles the mutation instantly and updates the index without rebuilding.

What if I have millions of points?

Instead of overloading your chat context, instruct your agent to use the `count` tool to grasp the scale, and the `scroll` tool with a small limit constraint (e.g., 5-10 records at a time). This paginates large bodies cleanly when analyzing index health.

Qdrant MCP Server for Windsurf 7 tools — connect in under 2 minutes

Name: Qdrant
Availability: InStock
Author: Vinkius

docs.windsurf.com/windsurf/mcp

Built by Vinkius GDPR 7 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Qdrant through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Qdrant and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "qdrant": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Qdrant MCP Server

Connect your Qdrant vector database (Cloud or Self-Hosted) to any AI agent and bring powerful semantic retrieval and database management into your conversation.

Windsurf's Cascade agent chains multiple Qdrant tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 7 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

What you can do

Discover Collections — List all vector collections in your cluster, fetch detailed distance metrics, and monitor total payload points instantly
Semantic Vector Search — Perform nearest neighbor similarity searches. Pass a JSON array of floats and retrieve the exact payloads matching your query
Data Management — Read specific points by ID or scroll sequentially through giant datasets to debug payloads and embedding quality
Mutation Operations — Delete redundant data points safely without building separate admin scripts

The Qdrant MCP Server exposes 7 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Qdrant to Windsurf via MCP

Follow these steps to integrate the Qdrant MCP Server with Windsurf.

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

Add the server

Paste the JSON configuration above into mcp_config.json

Save and reload

Windsurf will detect the new server automatically

Start using Qdrant

Open Cascade and ask: "Using Qdrant, help me...". 7 tools available

Why Use Windsurf with the Qdrant MCP Server

Windsurf provides unique advantages when paired with Qdrant through the Model Context Protocol.

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

JSON-based configuration means zero code changes: paste a URL, reload, and all 7 tools are immediately available

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Qdrant + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Qdrant MCP Server delivers measurable value.

Automated code generation: ask Cascade to fetch data from Qdrant and generate models, types, or handlers based on real API responses

Live debugging: query Qdrant tools mid-session to inspect production data while debugging without leaving the editor

Documentation generation: pull schema information from Qdrant and have Cascade generate comprehensive API docs automatically

Rapid prototyping: combine Qdrant data with Cascade's code generation to scaffold entire features in minutes

Qdrant MCP Tools for Windsurf (7)

These 7 tools become available when you connect Qdrant to Windsurf via MCP:

count

Counts the total number of points in a collection

delete

This action is irreversible. Deletes specific points from a collection

get_collection

Retrieves detailed information about a specific collection

get_points

Retrieves specific points by their IDs

list_collections

Lists all collections in the Qdrant instance

scroll

Returns points with their payloads. Scrolls through points in a collection, useful for pagination

search

You must provide a JSON array of floats for the query vector. Performs a nearest neighbor vector search in a collection

Example Prompts for Qdrant in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Qdrant immediately.

"List the configurations for all collections in my Qdrant instance."

"Count the total embedded points in the 'docs-embeddings' collection."

"Scroll and show me the IDs and payloads of the first 3 items in the 'users' collection."

Troubleshooting Qdrant MCP Server with Windsurf

Common issues when connecting Qdrant to Windsurf through the Vinkius, and how to resolve them.

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Qdrant + Windsurf FAQ

Common questions about integrating Qdrant MCP Server with Windsurf.

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.