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How to Use the CrewAI Platform MCP in Windsurf

Trigger multi-agent workflows directly from Windsurf by chaining CrewAI Platform tools through Cascade's autonomous planning.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

CrewAI Platform MCP on Cursor AI Code Editor MCP Client CrewAI Platform MCP on Claude Desktop App MCP Integration CrewAI Platform MCP on OpenAI Agents SDK MCP Compatible CrewAI Platform MCP on Visual Studio Code MCP Extension Client CrewAI Platform MCP on GitHub Copilot AI Agent MCP Integration CrewAI Platform MCP on Google Gemini AI MCP Integration CrewAI Platform MCP on Lovable AI Development MCP Client CrewAI Platform MCP on Mistral AI Agents MCP Compatible CrewAI Platform MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Windsurf

Connect CrewAI Platform MCP to Windsurf

Create your Vinkius account to connect CrewAI Platform to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Execute complex runs from Windsurf

Cascade doesn't just read data; it actively manages your agents. Use `kickoff_crew` to trigger deployments based on current codebase goals without leaving your editor. It handles the JSON payloads so you can focus on the logic. You'll see the results appear in your Cascade window as the agent completes its steps.

Inspect agent status inside Windsurf

Get a clear view of your active crew performance. Call `get_crew` to pull structural properties that dictate how your logic behaves in production. This keeps your context grounded in real-time data. You'll stop guessing about account states and start debugging them directly.

Manage tasks within the Windsurf MCP Server

Keep your project synced by tracking active task queues. Use `list_tasks` to see exactly what is moving through your gateway at any given moment. This MCP Server provides the hooks Cascade needs to verify history. You'll catch auth issues before they break your build.

Setup guide

Set up CrewAI Platform MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the CrewAI Platform MCP

    Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my CrewAI Platform payment history." If connected, Cascade will call the CrewAI Platform tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "crewai-platform-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CrewAI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CrewAI Platform MCP in Windsurf

Add the server details into your ~/.codeium/windsurf/mcp_config.json file. Once you refresh the panel, Cascade detects the available tools.
Yes, Cascade chains these tools to plan and execute multi-step actions. It takes your high-level intent and converts it into specific tool calls.
Your data stays isolated within the V8 sandbox. We only touch specific billing and task arrays required to complete your requested operations.
It relies on your endpoint token for secure communication. The setup mirrors your standard editor configurations for consistency.
Auth is handled via a single endpoint token managed by Vinkius. Your keys are never exposed to the agent outside of the authorized session.

Start using the CrewAI Platform MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for CrewAI Platform. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

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