Bring Data Orchestration
to Windsurf
Create your Vinkius account to connect Prefect to Windsurf 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 Windsurf?
Windsurf's Cascade agent chains multiple Prefect tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 7 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
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Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
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JSON-based configuration means zero code changes: paste a URL, reload, and all 7 tools are immediately available
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Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Prefect in Windsurf
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 Windsurf 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 Windsurf
Every request between Windsurf 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 Windsurf discover MCP tools?
Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
Can Cascade chain multiple MCP tool calls?
Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
Does Windsurf support multiple MCP servers?
Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.
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