Bring Rag Pipelines
to Google ADK
Create your Vinkius account to connect Haystack (deepset Cloud) to Google ADK 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.
Compatible with every major AI agent and IDE
What is the Haystack (deepset Cloud) MCP Server?
Connect your deepset Cloud account to any AI agent and manage your Haystack-powered RAG pipelines through natural conversation.
What you can do
- Workspaces — List and manage isolated environments for different search contexts
- Pipelines — Visualize NLP topologies, including embedding nodes and retriever logic
- Run Search — Dispatch immediate LLM or Retriever invocations to test RAG pipelines
- Document Management — List files and inspect metadata attached to source document embeddings
- Vector Search — Trigger dense or sparse vector searches over indexed enterprise knowledge
How it works
- Subscribe to this server
- Enter your deepset Cloud API URL and API Key
- Start managing your AI pipelines from Claude, Cursor, or any MCP-compatible client
Who is this for?
- AI/ML Teams — quickly audit pipeline configurations and test search results
- RAG Developers — integrate enterprise knowledge bases with AI agents for contextual answers
- Product Managers — monitor search performance and verify document indexing status
Built-in capabilities (7)
Get file metadata
Get pipeline details
List uploaded files
List pipelines
List workspaces
Run a pipeline search
Search documents in index
Why Google ADK?
Google ADK natively supports Haystack (deepset Cloud) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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 Haystack (deepset Cloud)
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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 Haystack (deepset Cloud) tools with BigQuery, Vertex AI, and Cloud Functions
Haystack (deepset Cloud) in Google ADK
Why run Haystack (deepset Cloud) with Vinkius?
The Haystack (deepset Cloud) 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 Haystack (deepset Cloud) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Haystack (deepset Cloud) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Haystack (deepset Cloud) 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
Haystack (deepset Cloud) for Google ADK
Every request between Google ADK and Haystack (deepset Cloud) 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 test my RAG pipelines directly via my AI agent?
Yes. Use the run_pipeline tool to dispatch a query to any registered pipeline in your workspace. Your agent will return the response from the NLP topology, allowing you to verify retriever performance and LLM grounding without leaving your workspace.
How can I audit my document indexing status?
Ask your agent to list files in your workspace. You can then get specific metadata for any file to ensure embeddings and attributes are correctly attached. This is essential for debugging retrieval issues in production environments.
Is it possible to manage multiple deepset Cloud workspaces?
Absolutely. The agent provides high-level workspace listing, allowing you to navigate across tenant boundaries and isolation zones easily. You just need to provide the workspace name to any pipeline or search command.
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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