Vertex AI Vector Search MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Vertex AI Vector Search through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Vertex AI Vector Search and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"vertex-ai-vector-search": {
"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 Vertex AI Vector Search MCP Server
Plug the sheer matching scale of Google Cloud's Vertex AI Vector Search directly into your intelligent IDE or conversational agent. Unleash low-latency nearest neighbor lookups across billion-scale embedding structures without navigating Cloud Console interfaces.
Windsurf's Cascade agent chains multiple Vertex AI Vector Search tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Massive Semantic Extraction — Prompt your agent to formulate query vectors and blast them at your specialized Cloud endpoints. It instantly retrieves identical geometric text boundaries (nearest neighbors) to ground LLM contexts powerfully.
- Index Operations — Gain total situational awareness over your massive datasets. Command the bot to list your provisioned Vector Indexes, verifying dimensionality, configuration updates, and current active states within seconds.
- Endpoint Monitoring — List active network endpoints scaling your specific RAG applications. Determine clearly which underlying deployed index iterations are currently receiving production traffic without digging through IAM screens.
- Operation Tracking — Spun up a multi-terabyte index build? Query the cloud queue using chat to review persistent long-running task timelines from your primary editor.
The Vertex AI Vector Search MCP Server exposes 6 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 Vertex AI Vector Search to Windsurf via MCP
Follow these steps to integrate the Vertex AI Vector Search 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 Vertex AI Vector Search
Open Cascade and ask: "Using Vertex AI Vector Search, help me..." — 6 tools available
Why Use Windsurf with the Vertex AI Vector Search MCP Server
Windsurf provides unique advantages when paired with Vertex AI Vector Search 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 6 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Vertex AI Vector Search + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Vertex AI Vector Search MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Vertex AI Vector Search and generate models, types, or handlers based on real API responses
Live debugging: query Vertex AI Vector Search tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Vertex AI Vector Search and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Vertex AI Vector Search data with Cascade's code generation to scaffold entire features in minutes
Vertex AI Vector Search MCP Tools for Windsurf (6)
These 6 tools become available when you connect Vertex AI Vector Search to Windsurf via MCP:
get_index_details
Retrieves metadata and configuration for a specific vector index
list_deployed_indexes
Lists all indexes deployed to a specific endpoint
list_index_endpoints
Lists all index endpoints in the project
list_vector_indexes
Lists all vector indexes in the Google Cloud project
list_vector_operations
Lists long-running operations related to vector indexes
search_nearest_neighbors
Provide the endpoint ID, deployed index ID, and a query vector as a JSON array. Performs a nearest neighbor vector similarity search
Example Prompts for Vertex AI Vector Search in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Vertex AI Vector Search immediately.
"List all our active vector indexes on the current GCP project."
"Check for any long-running vector deployment operations currently uncompleted."
"Find the 3 nearest neighbors mapping to endpoint '39xl' array index ID 'dep_30' using vector [-0.2, 0.5, 0.0]."
Troubleshooting Vertex AI Vector Search MCP Server with Windsurf
Common issues when connecting Vertex AI Vector Search to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Vertex AI Vector Search + Windsurf FAQ
Common questions about integrating Vertex AI Vector Search 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 Vertex AI Vector Search with your favorite client
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Connect Vertex AI Vector Search to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.