How to Use the DataStax Astra DB Vector MCP in Google ADK

Q: Can I filter tools when using DataStax Astra DB Vector in Google ADK?

Yes, use the toolnames filter in your toolset setup. This restricts your agent to only the functions you explicitly permit.

Link DataStax Astra DB Vector to your Google ADK environment for large-scale enterprise reasoning.

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Connect DataStax Astra DB Vector MCP to Google ADK

Create your Vinkius account to connect DataStax Astra DB Vector 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 DataStax Astra DB Vector with Google ADK

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Run similarity queries within Google ADK

The `vector_search` tool allows your Gemini-powered agent to query large vector sets stored in Astra DB. It works natively with the Google ADK toolset interface. Your agent pulls specific content matches to ground its responses. This setup avoids token bloat by fetching only the relevant chunks from your database.

Direct document retrieval using Google ADK

Call `find_documents` or `find_one_document` to grab specific records by ID or field value. This gives your agent surgical access to your database content. It removes the need for custom API glue code in your Google Cloud infrastructure. You define the query parameters and get the raw document back instantly.

Maintain database state through Google ADK

Use `insert_document` to push new findings back into your Astra DB collections. Your agent becomes a persistent participant in your data lifecycle. `delete_document` lets the agent prune outdated records automatically. This keeps your search results accurate and current without manual cleanup tasks.

Setup guide

Set up DataStax Astra DB Vector 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 DataStax Astra DB Vector 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="DataStax Astra DB Vector_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DataStax Astra DB Vector tools via MCP.",
    tools=mcp_tools,
)

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Common questions about DataStax Astra DB Vector MCP in Google ADK

You instantiate an McpToolset with your server URL and pass it to your LlmAgent. The framework handles the connection and tool discovery.

The server uses efficient HTTP transport to minimize latency. Your agent waits only for the database response time during tool invocation.

Yes, use the tool_names filter in your toolset setup. This restricts your agent to only the functions you explicitly permit.

You can list and interact with any collection your credentials allow. Use `list_collections` to see everything available in your namespace.

The MCP server acts as a strictly defined proxy. Your database records are transmitted over TLS, and the Vinkius platform ensures no unauthorized access to your vector indices.

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