How to Use the Haystack (deepset Cloud) MCP in Google ADK

Q: Can Google ADK list my Haystack (deepset Cloud) pipelines?

Yes. The listpipelines tool returns your available options. You can then select the correct ID to pass into runpipeline.

Q: Is Google ADK compatible with Haystack (deepset Cloud) workspaces?

Absolutely. Use listworkspaces to identify your target environment. It ensures your agent is hitting the correct cloud index.

Q: What happens if a document is missing?

The searchdocuments tool returns an empty set or error. Your agent can handle this gracefully by prompting for a different query.

Integrate Haystack (deepset Cloud) with Google ADK to power your Gemini-based agents with custom enterprise data.

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Connect Haystack (deepset Cloud) MCP to Google ADK

Create your Vinkius account to connect Haystack (deepset Cloud) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Haystack (deepset Cloud) with Google ADK

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Native pipeline integration for Google ADK

Bring your document search into the Gemini ecosystem. By using `run_pipeline`, you feed your agent real-time information from your deepset Cloud indices. It removes the need for custom middleware. Your agent calls the tools directly, keeping your Google Cloud architecture clean.

Audit your data with Google ADK tools

Call `list_files` and `get_file` to verify metadata before running a search. This gives you confidence that your agent is looking at the latest information. It is about visibility. You see exactly what documents are available in your workspace before the model attempts to reason over them.

Search documents with Google ADK

Use `search_documents` to pull relevant chunks into your agent's long-context window. It bridges the gap between your indexed data and the reasoning power of Gemini. Latency is predictable. You get the specific text you need without the overhead of manual data movement.

Setup guide

Set up Haystack (deepset Cloud) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Haystack (deepset Cloud) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Haystack (deepset Cloud)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Haystack (deepset Cloud) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Haystack (deepset Cloud) MCP in Google ADK

Add the MCP toolset to your agent config. Then, simply instruct the agent to use `search_documents` with your query string.

Yes. The `list_pipelines` tool returns your available options. You can then select the correct ID to pass into `run_pipeline`.

Absolutely. Use `list_workspaces` to identify your target environment. It ensures your agent is hitting the correct cloud index.

The `search_documents` tool returns an empty set or error. Your agent can handle this gracefully by prompting for a different query.

The server transmits data over an encrypted MCP connection. Your documents remain in deepset Cloud and are only fetched when the agent invokes a specific tool.

Use it with your favorite AI tools

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