Coalesce MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Coalesce 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="coalesce_agent",
instruction=(
"You help users interact with Coalesce "
"using 8 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 Coalesce MCP Server
Connect your AI to Coalesce, the data transformation platform built for Snowflake with a column-aware approach.
Google ADK natively supports Coalesce as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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
- Environment Management — List all environments in your Coalesce organization and inspect their configurations.
- Job Monitoring — Check the status of the last run for any environment and view execution logs.
- Trigger Transformations — Start transformation jobs on demand with optional node selectors to target specific pipelines.
The Coalesce MCP Server exposes 8 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 Coalesce to Google ADK via MCP
Follow these steps to integrate the Coalesce 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 8 tools from Coalesce via MCP
Why Use Google ADK with the Coalesce MCP Server
Google ADK provides unique advantages when paired with Coalesce 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 Coalesce
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 Coalesce tools with BigQuery, Vertex AI, and Cloud Functions
Coalesce + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Coalesce MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Coalesce and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Coalesce tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Coalesce regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Coalesce
Coalesce MCP Tools for Google ADK (8)
These 8 tools become available when you connect Coalesce to Google ADK via MCP:
get_environment
Retrieve detailed information about a specific environment
get_job_details
Retrieve detailed information about a specific job
get_run_status
Check the current status and progress of a triggered run
list_environments
Retrieve all environments configured in your Coalesce organization
list_jobs
Retrieve a list of jobs, optionally filtered by environment
list_nodes
Retrieve metadata about transformation nodes in a specific environment
trigger_job
Trigger a specific job in an environment
trigger_run
Trigger a new run for a specific environment and optionally a job
Example Prompts for Coalesce in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Coalesce immediately.
"Show me all environments in my Coalesce organization."
"Trigger job 'job-yyyy' in environment 'env-xxxx'."
"What is the status of the ongoing production data pipeline?"
Troubleshooting Coalesce MCP Server with Google ADK
Common issues when connecting Coalesce to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkCoalesce + Google ADK FAQ
Common questions about integrating Coalesce 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 Coalesce with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Coalesce to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
