Vertex AI Search MCP Server for Cline 7 tools — connect in under 2 minutes
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.
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{
"mcpServers": {
"vertex-ai-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 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.
Open Cline MCP Settings
Click the MCP Servers icon in the Cline sidebar panel
Add remote server
Click "Add MCP Server" and paste the configuration above
Enable the server
Toggle the server switch to ON
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.
Cline operates autonomously — it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
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.
Autonomous feature building: tell Cline to fetch data from Vertex AI Search and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Vertex AI Search tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Vertex AI Search and generates snapshot tests or mocks based on actual payloads
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:
get_datastore_details
Retrieves configuration and metadata for a specific data store
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
get_recommendations
Provide a data store ID and user event data as a JSON object. Retrieves personalized recommendations based on user events
list_data_stores
Lists all data stores in the Vertex AI Search collection
list_datastore_documents
Provide data store and branch IDs. Lists all indexed documents within a specific data store branch
list_search_engines
Lists all search engines configured in the collection
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.
"List all my available data stores in Vertex AI Search."
"Based on our documentation, what is our remote work policy?"
"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.
Server shows error in sidebar
Vertex AI Search + Cline FAQ
Common questions about integrating Vertex AI Search MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
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Microsoft's framework for multi-agent collaborative conversations.
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.
