2,500+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 7 Tools IDE

Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Vertex AI Search through the Vinkius and Cline gains direct access to every tool — from data retrieval to workflow automation — without leaving the terminal.

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.

Cline operates autonomously inside VS Code — it reads your codebase, plans a strategy, and executes multi-step tasks including Vertex AI Search tool calls without waiting for prompts between steps. Connect 7 tools through the Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

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 Cline 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 Cline via MCP

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

01

Open Cline MCP Settings

Click the MCP Servers icon in the Cline sidebar panel

02

Add remote server

Click "Add MCP Server" and paste the configuration above

03

Enable the server

Toggle the server switch to ON

04

Start using Vertex AI Search

Ask Cline: "Using Vertex AI Search, help me..."7 tools available

Why Use Cline with the Vertex AI Search MCP Server

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

01

Cline operates autonomously — it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

02

Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

03

Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

04

Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

Vertex AI Search + Cline Use Cases

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

01

Autonomous feature building: tell Cline to fetch data from Vertex AI Search and scaffold a complete module with types, handlers, and tests

02

Codebase refactoring: use Vertex AI Search tools to validate live data while Cline restructures your code to match updated schemas

03

Automated testing: Cline fetches real responses from Vertex AI Search and generates snapshot tests or mocks based on actual payloads

04

Incident response: query Vertex AI Search for real-time status and let Cline generate hotfix patches based on the findings

Vertex AI Search MCP Tools for Cline (7)

These 7 tools become available when you connect Vertex AI Search to Cline 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 Cline

Ready-to-use prompts you can give your Cline 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 Cline

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

01

Server shows error in sidebar

Click the server name to see logs. Verify the URL and token are correct.

Vertex AI Search + Cline FAQ

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

01

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
02

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
03

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.

Connect Vertex AI Search to Cline

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