CrewAI Platform MCP Server
Orchestrate multi-agent workflows via CrewAI — list crews and agents, kickoff autonomous runs, and monitor task execution directly from any AI agent.
Ask AI about this MCP Server
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What is the CrewAI MCP Server?
The CrewAI MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to CrewAI via 10 tools. Orchestrate multi-agent workflows via CrewAI — list crews and agents, kickoff autonomous runs, and monitor task execution directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate CrewAI
Ask your AI agent "List all crews in my account" and get the answer without opening a single dashboard. With 10 tools connected to real CrewAI data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
CrewAI Platform MCP Server capabilities
10 toolsInspect deep internal arrays mitigating specific Plan Math
Enumerate explicitly attached structured rules exporting active Billing
Perform structural extraction of properties driving active Account logic
Retrieve explicit Cloud logging tracing explicit Vault limits
Identify precise active arrays spanning native Gateway auth
Provision a highly-available JSON Payload generating hard Customer bindings
Irreversibly vaporize explicit validations extracting rich Churn flags
Identify bounded CRM records inside the Headless CrewAI Platform
Dispatch an automated validation check routing explicit Gateway history
Identify precise active arrays spanning native Hold parsing
What the CrewAI Platform MCP Server unlocks
Connect your CrewAI Platform (AMP) account to any AI agent and take full control of your autonomous multi-agent orchestration through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your CrewAI Agent Token (found in the 'Status' tab of your Crew page in the AMP Dashboard)
3. Start orchestrating your autonomous agents from Claude, Cursor, or any MCP-compatible client
Who is this for?
- AI Architects — manage and monitor complex multi-agent graphs and verify agent role-playing backstories
- Developers — trigger autonomous workflows and retrieve task results directly from the IDE or chat
- Product Teams — quickly prototype and test agentic workflows using natural language inputs
- DevOps Teams — monitor active crew executions and manage webhook integrations across environments
Frequently asked questions about the CrewAI Platform MCP Server
Can my agent kickoff a new CrewAI workflow?
Yes. Use the 'kickoff_crew' tool. Provide the Crew ID and a JSON object with the required inputs. The agent will activate the multi-agent processing immediately, returning a run ID for tracking.
How do I monitor the progress of an active agent run?
Use the 'get_run_status' tool with your Crew ID and Run ID. Your agent will grab the live execution state, showing you which agents are currently working and which tasks have been completed.
Can I cancel a running crew via the agent?
Absolutely. The 'cancel_run' tool dispatches an instant interrupt signal to the CrewAI platform, hard-stopping active LLM contexts and terminating the execution flow immediately.
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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.
Give your AI agents the power of CrewAI MCP Server
Production-grade CrewAI Platform MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.