CrewAI Platform MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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.
Cursor's Agent mode turns CrewAI Platform into an in-editor superpower. Ask Cursor to generate code using live data from CrewAI Platform and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the CrewAI Platform MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using CrewAI Platform
Open Agent mode in chat and ask: "Using CrewAI Platform, help me...". 10 tools available
Why Use Cursor with the CrewAI Platform MCP Server
Cursor AI Code Editor provides unique advantages when paired with CrewAI Platform through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
CrewAI Platform + Cursor Use Cases
Practical scenarios where Cursor combined with the CrewAI Platform MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
CrewAI Platform MCP Tools for Cursor (10)
These 10 tools become available when you connect CrewAI Platform to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting CrewAI Platform to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
CrewAI Platform + Cursor FAQ
Common questions about integrating CrewAI Platform MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.