How to Use the Milvus (Open-Source Vector Database) MCP in Windsurf

Q: How do I delete specific vectors from Milvus (Open-Source Vector Database) using Windsurf?

Provide the primary keys to your agent. It will trigger deleteentities to remove those specific records from your index.

Manage vector data directly in Windsurf with the Milvus (Open-Source Vector Database) MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Milvus (Open-Source Vector Database) MCP to Windsurf

Create your Vinkius account to connect Milvus (Open-Source Vector Database) to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Milvus (Open-Source Vector Database) with Windsurf

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Full Milvus collection oversight in Windsurf

Cascade needs to know your schema before it builds anything. Use `list_collections` to see what is currently indexed, then run `describe_collection` to pull the exact field mapping and index type. Getting stats is just as simple. Call `get_collection_stats` to verify row counts and memory usage before you start your next batch insertion.

Execute vector search and filtering in Windsurf

Give your agent the ability to perform similarity searches directly against your production data. By using `search_vectors` with your embedding array, you get the nearest neighbors returned as raw data objects. When you need exact matches instead of fuzzy results, call `query_entities`. It uses scalar expressions to filter and retrieve specific records from your database.

Direct data modification for your Windsurf agent

Keep your vector store clean without leaving your IDE. `delete_entities` lets you remove outdated or irrelevant records by their primary key in one go. Use `get_entities` if you need to fetch specific records for debugging or manual verification. It ensures your agent is always working with the ground truth.

Setup guide

Set up Milvus (Open-Source Vector Database) MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Milvus (Open-Source Vector Database) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Milvus (Open-Source Vector Database) payment history." If connected, Cascade will call the Milvus (Open-Source Vector Database) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "milvus-open-source-vector-database-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Milvus. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Milvus (Open-Source Vector Database) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Milvus (Open-Source Vector Database) MCP in Windsurf

Open the Cascade chat and ask it to find vectors similar to your current context. It will invoke `search_vectors` and present the results directly in your workspace.

Yes. Simply ask the agent to query by a specific attribute. It uses `query_entities` to apply your scalar filters and return the matching entries.

Absolutely. Just type a request to list your collections and the server will execute `list_collections` to show you everything available.

Provide the primary keys to your agent. It will trigger `delete_entities` to remove those specific records from your index.

The server runs in an isolated sandbox environment. Your data stays restricted to the connection you define, and only your authorized agent can invoke the tools.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript