Hevo Data (ETL & Data Pipeline) 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 Hevo Data (ETL & Data Pipeline) 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="hevo_data_etl_data_pipeline_agent",
instruction=(
"You help users interact with Hevo Data (ETL & Data Pipeline) "
"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 Hevo Data (ETL & Data Pipeline) MCP Server
Connect your Hevo Data account to any AI agent and take full control of your automated data integration and ETL orchestration through natural conversation.
Google ADK natively supports Hevo Data (ETL & Data Pipeline) 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
- Pipeline Orchestration — List all running ETL pipelines and extract explicit routing mappings linking ingestion frequencies to specific IDs directly from your agent
- Destination Monitoring — Analyze global warehouse targets (BigQuery, Snowflake, Redshift) terminating your replication runs and ensuring data delivery
- Transformation Models — Track explicitly attached mappings and transformations bounding your staging logic to maintain data quality
- Workflow Automation — Discover orchestration bounds and DAG workflows connecting transformations natively across your entire data stack
- Usage & Billing Audit — Access account usage metrics and billing ceilings to monitor row replications and overall account health in real-time
The Hevo Data (ETL & Data Pipeline) 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 Hevo Data (ETL & Data Pipeline) to Google ADK via MCP
Follow these steps to integrate the Hevo Data (ETL & Data Pipeline) 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 Hevo Data (ETL & Data Pipeline) via MCP
Why Use Google ADK with the Hevo Data (ETL & Data Pipeline) MCP Server
Google ADK provides unique advantages when paired with Hevo Data (ETL & Data Pipeline) 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 Hevo Data (ETL & Data Pipeline)
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 Hevo Data (ETL & Data Pipeline) tools with BigQuery, Vertex AI, and Cloud Functions
Hevo Data (ETL & Data Pipeline) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Hevo Data (ETL & Data Pipeline) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Hevo Data (ETL & Data Pipeline) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Hevo Data (ETL & Data Pipeline) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Hevo Data (ETL & Data Pipeline) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Hevo Data (ETL & Data Pipeline)
Hevo Data (ETL & Data Pipeline) MCP Tools for Google ADK (6)
These 6 tools become available when you connect Hevo Data (ETL & Data Pipeline) to Google ADK via MCP:
get_pipeline
Get pipeline details
get_usage
Get account usage
list_destinations
List all destinations
list_models
List all models
list_pipelines
List all pipelines
list_workflows
List all workflows
Example Prompts for Hevo Data (ETL & Data Pipeline) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Hevo Data (ETL & Data Pipeline) immediately.
"List all my active Hevo pipelines"
"Show me the destinations for my 'Sales Data' pipeline"
"How much of my row quota have I used this month?"
Troubleshooting Hevo Data (ETL & Data Pipeline) MCP Server with Google ADK
Common issues when connecting Hevo Data (ETL & Data Pipeline) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkHevo Data (ETL & Data Pipeline) + Google ADK FAQ
Common questions about integrating Hevo Data (ETL & Data Pipeline) 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?
Connect Hevo Data (ETL & Data Pipeline) with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect Hevo Data (ETL & Data Pipeline) to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.