Bring Enterprise Search
to CrewAI
Create your Vinkius account to connect Vertex AI Search to CrewAI and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Google Cloud Project ID, Location, and Access Token
- Start querying your enterprise data through Claude, Cursor, or any MCP-compatible client
No more manual digging through complex documentation systems. Your AI agent becomes your enterprise knowledge expert.
Who is this for?
- Enterprise Developers — build grounded AI applications using internal documentation and knowledge bases without manual indexing
- Knowledge Managers — quickly surface relevant information from massive document repositories through simple conversation
- Data Scientists — rapidly test and refine search relevance and generative grounding configurations
- Product Teams — implement personalized recommendations and AI-powered search features with minimal friction
Built-in capabilities (7)
Retrieves configuration and metadata for a specific data store
Returns a natural language response based on your private data. Retrieves an AI-generated answer grounded in the documents of a data store
Provide a data store ID and user event data as a JSON object. Retrieves personalized recommendations based on user events
Lists all data stores in the Vertex AI Search collection
Provide data store and branch IDs. Lists all indexed documents within a specific data store branch
Lists all search engines configured in the collection
Provide a data store ID and the query text. Performs a search query across documents in a specific data store
Why CrewAI?
When paired with CrewAI, Vertex AI Search becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Vertex AI Search tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Vertex AI Search in CrewAI
Why run Vertex AI Search with Vinkius?
The Vertex AI Search connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Vertex AI Search using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Vertex AI Search and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Vertex AI Search to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Vertex AI Search for CrewAI
Every request between CrewAI and Vertex AI Search is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I get direct answers from my documents without reading through them?
Yes. Using the get_grounded_answer tool, your AI agent can process a natural language question and return a precise answer based specifically on the content within your Vertex AI Search data stores. This grounding ensures high accuracy and reduces hallucinations by sticking to your private data as the source of truth.
How do I know which data stores are available to search?
Ask your agent to list your data stores. It will return all configured data stores in your collection along with their IDs and names. You can then use these IDs to perform targeted semantic searches or browse specific document branches.
Can I use this for product recommendations on my website?
Absolutely. The get_recommendations tool allows your agent to retrieve personalized recommendations by providing user event data. This is ideal for testing recommendation engines and surfacing relevant content or products to users based on their historical behavior.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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