Bring Rag
to Google ADK
Create your Vinkius account to connect Verba to Google ADK and start using all 6 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 Verba MCP Server?
Intertwine the open-source Verba (by Weaviate) ecosystem natively into your conversational AI IDE. Execute powerful Retrieval-Augmented Generation processes and manage your localized knowledge bases simply by chatting.
What you can do
- Augmented Queries — Cast a question to your agent and have it retrieve fully synthesized answers from the Verba engine completely backed up by exact document citations.
- Knowledge Management — Insert new context text, list all ingested documents, retrieve the deeply embedded raw data of any ID, or remove dead knowledge dynamically without Web UIs.
- Health Checks — Request system configurations directly via chat to ensure your local LLM connections, embedding models, and cluster health are firing effectively.
How it works
- Ensure your local or cloud Verba instance is running
- Supply your Verba API URL and API Key (if authenticated)
- Ask Claude or Cursor to query, retrieve, or insert document structures intuitively.
Who is this for?
- RAG Developers — quickly add or delete text chunks to evaluate changes in embedding fidelity directly inside your IDE coding session.
- Knowledge Managers — query your dense technical manuals using semantic search and receive the verified text snippets instantly.
- Open Source Hobbyists — orchestrate your personal Weaviate/Verba RAG stacks strictly through the programmatic conversational layer.
Built-in capabilities (6)
Provide the document content and optional metadata JSON. Ingests a new document into the Verba knowledge base
This action is irreversible. Permanently removes a document from the knowledge base
Retrieves the full content and metadata of a specific document
Retrieves the current Verba system configuration
Lists all documents indexed in the Verba knowledge base
Returns summarized answers with citations. Executes a RAG (Retrieval Augmented Generation) query against the Verba knowledge base
Why Google ADK?
Google ADK natively supports Verba as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Verba
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Verba tools with BigQuery, Vertex AI, and Cloud Functions
Verba in Google ADK
Why run Verba with Vinkius?
The Verba 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 6 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 Verba using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Verba and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Verba to Google ADK 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
Verba for Google ADK
Every request between Google ADK and Verba 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 query my local Verba instance directly through Cursor?
Yes! Once you configure VERBA_API_URL to point to http://localhost:8000 (or your host port), you can prompt your AI assistant to execute rigorous perform_rag_query instructions without ever breaking your developer focus.
How do I insert fresh text data into Verba completely using conversational chat?
Provide the agent with your desired context directly. For example: Add this chunk of markdown as a new document to Verba: '# Title Content...'. The agent leverages addDocumentTool, serializes the payload, and commits it into Verba's vector store immutably.
Are the query answers backed by citations from its embedded documents?
Absolutely. That's the primary benefit of the integration. When you run perform_rag_query, Verba utilizes Weaviate's hybrid search mechanics. The output explicitly includes natural language synthesis backed by the unique document IDs and snippet texts it referenced.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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