Zilliz Cloud MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Zilliz Cloud through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Zilliz Cloud and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"zilliz-cloud": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Zilliz Cloud MCP Server
Connect your Zilliz Cloud cluster to any AI agent to automate your vector database operations. This MCP server enables your agent to manage collections, insert data, and perform high-performance similarity searches directly from natural language.
Windsurf's Cascade agent chains multiple Zilliz Cloud tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Collection Management — List, describe, create, and drop vector collections in your cluster
- Memory Control — Load and release collections to optimize cluster resource usage and search availability
- Vector Search — Execute complex vector similarity searches (ANN) using customizable metrics and parameters
- Metadata Querying — Query entities using boolean expressions and metadata filters to find specific records
- Data Maintenance — Insert new vector/scalar data and delete entities from your collections
The Zilliz Cloud MCP Server exposes 10 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 Zilliz Cloud to Windsurf via MCP
Follow these steps to integrate the Zilliz Cloud 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 Zilliz Cloud
Open Cascade and ask: "Using Zilliz Cloud, help me..." — 10 tools available
Why Use Windsurf with the Zilliz Cloud MCP Server
Windsurf provides unique advantages when paired with Zilliz Cloud 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 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Zilliz Cloud + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Zilliz Cloud MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Zilliz Cloud and generate models, types, or handlers based on real API responses
Live debugging: query Zilliz Cloud tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Zilliz Cloud and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Zilliz Cloud data with Cascade's code generation to scaffold entire features in minutes
Zilliz Cloud MCP Tools for Windsurf (10)
These 10 tools become available when you connect Zilliz Cloud to Windsurf via MCP:
create_collection
Requires a JSON body. Create a new vector collection
delete_entities
Delete entities from a collection
describe_collection
Get details for a specific collection
drop_collection
Drop a collection
insert_entities
Insert data into a collection
list_collections
List all collections in the Zilliz cluster
load_collection
Load a collection into memory
query_entities
Query entities using metadata filtering
release_collection
Release a collection from memory
search_vectors
Requires a JSON search configuration. Perform a vector similarity search
Example Prompts for Zilliz Cloud in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Zilliz Cloud immediately.
"List all vector collections in my Zilliz cluster."
"Show the schema and status for collection 'text_docs'."
"Drop the collection named 'old_data_backup'."
Troubleshooting Zilliz Cloud MCP Server with Windsurf
Common issues when connecting Zilliz Cloud to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Zilliz Cloud + Windsurf FAQ
Common questions about integrating Zilliz Cloud MCP Server with Windsurf.
How does Windsurf discover MCP tools?
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?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Zilliz Cloud with your favorite client
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Connect Zilliz Cloud to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.