CrewAI Platform MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect CrewAI Platform through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install CrewAI Platform and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"crewai-platform": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 CrewAI Platform MCP Server
Connect your CrewAI Platform (AMP) account to any AI agent and take full control of your autonomous multi-agent orchestration through natural conversation.
Windsurf's Cascade agent chains multiple CrewAI Platform tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Crew Management — List all deployed multi-agent workflows and extract pure JSON blueprints mapping the complete agent graph topology
- Autonomous Kickoffs — Activate multi-agent processing immediately by triggering crews with dynamic JSON inputs to start complex workflows
- Live Run Monitoring — Retrieve disconnected physical states of active executions, tracking agents as they complete sequential or parallel tasks
- Agent & Task Auditing — Enumerate isolated role-playing agents and globally registered modular operations to verify backstories and expected outcomes
- Execution Control — Dispatch instant interrupt signals to hard-stop active runs and manage internal LLM context boundaries
- Webhook Oversight — Inspect exact validation criteria for async results and monitor where Crew outcomes post standard JSON boundaries
The CrewAI Platform MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf 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 CrewAI Platform to Windsurf via MCP
Follow these steps to integrate the CrewAI Platform MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using CrewAI Platform
Open Cascade and ask: "Using CrewAI Platform, help me...". 10 tools available
Why Use Windsurf with the CrewAI Platform MCP Server
Windsurf provides unique advantages when paired with CrewAI Platform through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
CrewAI Platform + Windsurf Use Cases
Practical scenarios where Windsurf combined with the CrewAI Platform MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from CrewAI Platform and generate models, types, or handlers based on real API responses
Live debugging: query CrewAI Platform tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from CrewAI Platform and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine CrewAI Platform data with Cascade's code generation to scaffold entire features in minutes
CrewAI Platform MCP Tools for Windsurf (10)
These 10 tools become available when you connect CrewAI Platform to Windsurf via MCP:
cancel_run
Inspect deep internal arrays mitigating specific Plan Math
get_agent
Enumerate explicitly attached structured rules exporting active Billing
get_crew
Perform structural extraction of properties driving active Account logic
get_run_status
Retrieve explicit Cloud logging tracing explicit Vault limits
get_task
Identify precise active arrays spanning native Gateway auth
kickoff_crew
Provision a highly-available JSON Payload generating hard Customer bindings
list_agents
Irreversibly vaporize explicit validations extracting rich Churn flags
list_crews
Identify bounded CRM records inside the Headless CrewAI Platform
list_tasks
Dispatch an automated validation check routing explicit Gateway history
list_webhooks
Identify precise active arrays spanning native Hold parsing
Example Prompts for CrewAI Platform in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with CrewAI Platform immediately.
"List all crews in my account"
"Kickoff crew 'crew_abc' with input: {'topic': 'AI Trends 2024'}"
"What is the backstory of agent 'agent_789'?"
Troubleshooting CrewAI Platform MCP Server with Windsurf
Common issues when connecting CrewAI Platform to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
CrewAI Platform + Windsurf FAQ
Common questions about integrating CrewAI Platform MCP Server with Windsurf.
How does Windsurf discover MCP tools?
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?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect CrewAI Platform with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 CrewAI Platform to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.