Integrate Vertex AI Vector Search with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: Where do I easily find the short-lived VERTEX_ACCESS_TOKEN?

On your terminal with gcloud installed and logged in, simply type gcloud auth print-access-token. Copy the output stream starting with ya29... into your configurations and the integration is ready for connection.

Bring Google's massive vector matching power to your AI agent. Search billions of semantic embeddings and administer Vertex Index endpoints directly in chat.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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Get index details on Vertex AI Vector Search

Retrieves metadata and configuration for a specific vector index

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List deployed indexes on Vertex AI Vector Search

Lists all indexes deployed to a specific endpoint

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List index endpoints on Vertex AI Vector Search

Lists all index endpoints in the project

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List vector indexes on Vertex AI Vector Search

Lists all vector indexes in the Google Cloud project

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List vector operations on Vertex AI Vector Search

Lists long-running operations related to vector indexes

Search nearest neighbors on Vertex AI Vector Search

Provide the endpoint ID, deployed index ID, and a query vector as a JSON array. Performs a nearest neighbor vector similarity search

Security & Code Integrity Audit

Every tool in the Vertex AI Vector Search MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Is there a risk of the AI "going crazy" and deleting important company data?

No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

Where do I easily find the short-lived VERTEX_ACCESS_TOKEN?

On your terminal with gcloud installed and logged in, simply type gcloud auth print-access-token. Copy the output stream starting with ya29... into your configurations and the integration is ready for connection.

What can AI Agents do with Vertex AI Vector Search?

Integrate Vertex AI Vector Search to provide your custom AI agents with direct read and write access to the capabilities listed below.

Mastering vector search with Agents

The Vertex AI Vector Search server supports direct MCP connections for vector search. This provides Claude with the required permissions to execute ai frontier functions.

ChatGPT embeddings Automation

The Vertex AI Vector Search MCP integration translates natural language prompts into structured embeddings queries. This allows agents to fetch and update ai frontier records securely.