Bring Data Orchestration
to Google ADK
Create your Vinkius account to connect Prefect to Google ADK and start using all 7 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 Prefect MCP Server?
Equip any AI agent with direct line-of-sight into your Prefect Cloud workspaces. Empower your LLMs to parse Python data pipelines, identify exactly why an ETL flow crashed, and audit underlying cloud infrastructure blocks conversational.
What you can do
- Audit Pipelines & Runs — Ask the AI to fetch all
list_flowsand dissect their historical execution vialist_flow_runs, identifying bottlenecks - Execution Breakdown — Command the agent to pull absolute tracing of a crashed workflow via
get_flow_runto literally read the Python traceback - Infrastructure & Blocks — Let the agent audit secure
list_blocksconnections (AWS, GCP) binding your Prefect environments - Automations & Triggers — Instantly review
list_automationsdictating active webhook-based flow triggers
How it works
- Subscribe to this MCP server
- Provide your Prefect API Key, Account ID, and Workspace ID
- Engage with your flows natively from Cursor, Claude, or any compatible client
Stop digging through logs across scattered pipelines. When a data sync fails, ask 'Why did the Nightly Stripe Sync fail?' and watch the AI extract the explicit HTTP/Python errors directly from Prefect.
Who is this for?
- Data Engineers — troubleshoot complex DAGs parsing exact step-by-step metadata without leaving your IDE
- Data Scientists — verify if your ML model retraining succeeded on your remote compute clusters
- DevOps Ops — audit routing behaviors exploring
list_work_poolspushing jobs to remote Docker and Kubernetes instances
Built-in capabilities (7)
Get complete contextual metadata, runtime limits, and specific variables tied to an executed Prefect Flow Run
List all Cloud Automations mapping explicit webhook/event actions dictating real-time flow triggers
List all secure infrastructure Blocks defining Secrets, AWS paths, or GCP configurations directly in Prefect
List all active deployments representing scheduled or triggered physical workflow instances
List recent active, scheduled, or failed flow runs recording actual physical data pipelining limits
List all engineered Python workflows registered natively on Prefect Cloud
List all physical Work Pools acting as routing destinations for dynamically dispatched flow runs
Why Google ADK?
Google ADK natively supports Prefect as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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 Prefect
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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 Prefect tools with BigQuery, Vertex AI, and Cloud Functions
Prefect in Google ADK
Why run Prefect with Vinkius?
The Prefect 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 7 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 Prefect using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Prefect and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Prefect 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
Prefect for Google ADK
Every request between Google ADK and Prefect 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
Can the AI pinpoint the exact error in a failed Python data flow?
Yes. Upon discovering a FAILED execution with list_flow_runs, it uses get_flow_run to unpack the explicit metadata and stack trace, isolating exactly what task and line broke your ETL logic.
How does the agent find where a flow actually executes (compute layer)?
It investigates list_deployments and list_work_pools. This exposes the underlying compute binding, allowing the AI to tell you whether the workflow executed inside an ECS cluster, Kubernetes, or a local Docker agent.
Where do I retrieve the Workspace ID precisely?
From the Prefect Cloud URL. The format is app.prefect.cloud/account/{AccountId}/workspace/{WorkspaceId}. Copy the UUID strictly following the /workspace/ path.
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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