Bring Data Transformation
to Google ADK
Create your Vinkius account to connect Coalesce to Google ADK and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Coalesce MCP Server?
Connect your AI to Coalesce, the data transformation platform built for Snowflake with a column-aware approach.
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.
How it works
- Add the Coalesce integration to your AI toolset.
- Provide your API Token (from Organization Settings > API Tokens).
- Manage your data pipelines via natural language.
Who is this for?
- Data Engineers — Trigger and monitor pipeline runs without opening the Coalesce UI.
- Analytics Engineers — Check job statuses and debug failed transformations from chat.
- Data Team Leads — Get quick overviews of environment health and recent job results.
Built-in capabilities (8)
Retrieve detailed information about a specific environment
Retrieve detailed information about a specific job
Check the current status and progress of a triggered run
Retrieve all environments configured in your Coalesce organization
Retrieve a list of jobs, optionally filtered by environment
Retrieve metadata about transformation nodes in a specific environment
Trigger a specific job in an environment
Trigger a new run for a specific environment and optionally a job
Why Google ADK?
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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Coalesce
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Coalesce tools with BigQuery, Vertex AI, and Cloud Functions
Coalesce in Google ADK
Why run Coalesce with Vinkius?
The Coalesce connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Coalesce using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Coalesce and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Coalesce to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Coalesce for Google ADK
Every request between Google ADK and Coalesce is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get my Coalesce API token?
In the Coalesce UI, go to Organization Settings > API Tokens and generate a new token. Copy it and paste it below.
Does this work with Snowflake?
Yes. Coalesce is built specifically for Snowflake. The API triggers jobs that run directly on your Snowflake instance.
What is a Node Selector?
A Node Selector lets you filter which transformation nodes to include in a run, based on name, type, or tags.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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