Verba MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Verba as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="verba_agent",
instruction=(
"You help users interact with Verba "
"using 6 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 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.
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.
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.
The Verba MCP Server exposes 6 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Verba to Google ADK via MCP
Follow these steps to integrate the Verba MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 6 tools from Verba via MCP
Why Use Google ADK with the Verba MCP Server
Google ADK provides unique advantages when paired with Verba through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Verba
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Verba tools with BigQuery, Vertex AI, and Cloud Functions
Verba + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Verba MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Verba and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Verba tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Verba regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Verba
Verba MCP Tools for Google ADK (6)
These 6 tools become available when you connect Verba to Google ADK via MCP:
add_knowledge_document
Provide the document content and optional metadata JSON. Ingests a new document into the Verba knowledge base
delete_knowledge_document
This action is irreversible. Permanently removes a document from the knowledge base
get_document_details
Retrieves the full content and metadata of a specific document
get_system_config
Retrieves the current Verba system configuration
list_knowledge_documents
Lists all documents indexed in the Verba knowledge base
perform_rag_query
Returns summarized answers with citations. Executes a RAG (Retrieval Augmented Generation) query against the Verba knowledge base
Example Prompts for Verba in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Verba immediately.
"Check Verba's configuration to see which embedding model it is currently using."
"Perform a RAG query asking: 'What are our key deployment steps based on the infrastructure guide?'"
"List all documents and output the unique ID of the 'Employee Code of Conduct' file."
Troubleshooting Verba MCP Server with Google ADK
Common issues when connecting Verba to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkVerba + Google ADK FAQ
Common questions about integrating Verba MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Step-by-step setup guides for every MCP-compatible client and framework:
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Connect Verba to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.