2,500+ MCP servers ready to use
Vinkius

Vertex AI Search MCP Server for Windsurf 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools IDE

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

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 Vertex AI Search and 2,500+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "vertex-ai-search": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Vertex AI Search
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 Vertex AI Search MCP Server

Connect your Vertex AI Search account to any AI agent and harness the power of Google's semantic search technology on your own enterprise data through natural conversation.

Windsurf's Cascade agent chains multiple Vertex AI Search tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the 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

  • Semantic Search — Perform high-quality semantic searches across documents with AI-powered relevance and accuracy
  • Grounded Answers — Get direct, natural language answers grounded in your private document collection for reliable Q&A
  • Data Stores — List and browse your enterprise data stores and search engines to manage your searchable datasets
  • Document Discovery — Browse and list indexed documents within your data store branches directly from your agent
  • Personalized Recommendations — Retrieve intelligent recommendations based on user interaction events and patterns
  • Search Engines — View and manage high-level search applications configured for specific business use cases

The Vertex AI Search 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 Vertex AI Search to Windsurf via MCP

Follow these steps to integrate the Vertex AI Search MCP Server with Windsurf.

01

Open MCP Settings

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

02

Add the server

Paste the JSON configuration above into mcp_config.json

03

Save and reload

Windsurf will detect the new server automatically

04

Start using Vertex AI Search

Open Cascade and ask: "Using Vertex AI Search, help me..."7 tools available

Why Use Windsurf with the Vertex AI Search MCP Server

Windsurf provides unique advantages when paired with Vertex AI Search through the Model Context Protocol.

01

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

02

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

03

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

04

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

Vertex AI Search + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Vertex AI Search MCP Server delivers measurable value.

01

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

02

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

03

Documentation generation: pull schema information from Vertex AI Search and have Cascade generate comprehensive API docs automatically

04

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

Vertex AI Search MCP Tools for Windsurf (7)

These 7 tools become available when you connect Vertex AI Search to Windsurf via MCP:

01

get_datastore_details

Retrieves configuration and metadata for a specific data store

02

get_grounded_answer

Returns a natural language response based on your private data. Retrieves an AI-generated answer grounded in the documents of a data store

03

get_recommendations

Provide a data store ID and user event data as a JSON object. Retrieves personalized recommendations based on user events

04

list_data_stores

Lists all data stores in the Vertex AI Search collection

05

list_datastore_documents

Provide data store and branch IDs. Lists all indexed documents within a specific data store branch

06

list_search_engines

Lists all search engines configured in the collection

07

search_documents

Provide a data store ID and the query text. Performs a search query across documents in a specific data store

Example Prompts for Vertex AI Search in Windsurf

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

01

"List all my available data stores in Vertex AI Search."

02

"Based on our documentation, what is our remote work policy?"

03

"Search the product catalog for 'blue wireless headphones'."

Troubleshooting Vertex AI Search MCP Server with Windsurf

Common issues when connecting Vertex AI Search to Windsurf through the Vinkius, and how to resolve them.

01

Server not connecting

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

Vertex AI Search + Windsurf FAQ

Common questions about integrating Vertex AI Search MCP Server with Windsurf.

01

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.
02

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.
03

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.

Connect Vertex AI Search to Windsurf

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.