CrewAI Platform Connector for AI agents.
3 live capabilities
Manage and trigger autonomous multi-agent workflows from your chat interface.
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Why people use CrewAI Platform
CrewAI Platform for Orchestrating Multi-Agent Workflows
This Connector brings that entire experience into a single conversation. You can trigger a crew, check its live progress, or audit an agent's backstory without ever leaving your chat window. You get a unified command center for your autonomous workflows.
What Vinkius changes
You get a direct command line for your autonomous agent workflows inside your favorite chat or IDE.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Market Research
A researcher asks the agent to start a Competitor Analysis crew.
- Real-world use case 02
Content Pipeline
A social media manager wants to see the status of a Blog Poster crew.
- Real-world use case 03
Debugging
A developer wants to see if an agent is following its instructions.
Complete set · 3capabilities
The complete CrewAI Platform capability set.
These are the exact actions your AI can choose when you ask it to work with CrewAI Platform.
01—03
3 capabilities in this set.
Part of 3 available through CrewAI Platform.
- 01 Capability
Get status
See the current state of an active execution. It helps you track where an agent is stuck or when a task is finished.
- 02 Capability
Kickoff crew
Start a new multi-agent run using a JSON payload. This is the primary way to put your autonomous workflows into motion.
- 03 Capability
Get inputs
Find the exact data points required to start a specific crew. Use this to ensure your agent provides the right information before a run begins.
Set up in minutes
One URL. Then ask CrewAI Platform to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use CrewAI Platform from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_vQl1sjKmbDR8pDbzxB1A2J0p9pCxG6EwZ7FmwnqF/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it CrewAI Platform, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable CrewAI Platform for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_vQl1sjKmbDR8pDbzxB1A2J0p9pCxG6EwZ7FmwnqF/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the CrewAI Platform URL.
- Step 03
Save and start
Save the connection and enable CrewAI Platform in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"crewai-platform": {
"url": "https://edge.vinkius.com/vk_preview_vQl1sjKmbDR8pDbzxB1A2J0p9pCxG6EwZ7FmwnqF/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using CrewAI Platform
Open Agent mode in chat and ask: "Using CrewAI Platform, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"crewai-platform": {
"url": "https://edge.vinkius.com/vk_preview_vQl1sjKmbDR8pDbzxB1A2J0p9pCxG6EwZ7FmwnqF/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using CrewAI Platform
Ask Copilot: "Using CrewAI Platform, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"crewai-platform": {
"url": "https://edge.vinkius.com/vk_preview_vQl1sjKmbDR8pDbzxB1A2J0p9pCxG6EwZ7FmwnqF/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using CrewAI Platform
Open Cascade and ask: "Using CrewAI Platform, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"crewai-platform": {
"url": "https://edge.vinkius.com/vk_preview_vQl1sjKmbDR8pDbzxB1A2J0p9pCxG6EwZ7FmwnqF/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using CrewAI Platform
Ask Cline: "Using CrewAI Platform, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add crewai-platform --transport http "https://edge.vinkius.com/vk_preview_vQl1sjKmbDR8pDbzxB1A2J0p9pCxG6EwZ7FmwnqF/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using CrewAI Platform
Ask Claude: "Using CrewAI Platform, show me...". 3 tools are ready
Where the request belongs
Work CrewAI can move forward.
This is for the AI architects and engineers who are tired of manual dashboard babysitting. It's for the people running complex, multi-step agentic processes who need to stay in their workspace while their autonomous fleet does the heavy lifting.
AI Architect
They verify that agent backstories align with complex business logic without manual auditing.
DevOps Engineer
They monitor active crew executions and manage webhook integrations via chat instead of logs.
Product Manager
They prototype new agentic workflows using natural language instead of manual JSON configuration.
Software Developer
They trigger autonomous tasks and see results directly in their IDE to maintain focus.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsLindy (Autonomous AI Employees)
Manage autonomous AI employees via Lindy. trigger task runs, monitor reasoning logs, and audit app integrations.
AutoGen
Orchestrate Microsoft AutoGen multi-agent workflows. manage sessions, agent roles, workflows, and monitor execution logs from any AI agent.
Langflow (Visual Multi-agent Orchestrator)
Orchestrate multi-agent AI workflows visually. execute flows, manage projects, and trigger webhooks directly from any AI agent.
AirOps
AI workflow orchestration. execute models, manage agents, and query memory via AI.
AgentOps (Agent Telemetry and Monitoring)
Monitor and observe your AI agents with AgentOps. track traces, spans, and project metrics directly from your agent.
Lancerkit
Connect Lancerkit to any AI agent via MCP.
Bring your own AI
Change the model, client or framework. Keep CrewAI connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about CrewAI.
The practical details behind the request, access and result.
How can I use the CrewAI Platform MCP to manage my agents?
You can use it to trigger specific workflows, check the live status of running tasks, and audit agent roles directly from your AI chat interface.
Can I start a CrewAI workflow using just a text prompt?
Yes, you can tell your agent to start a specific crew with a natural language prompt, and it will handle the JSON payload for you.
How do I see the live status of a running multi-agent task?
You can ask your agent for a status update on any active run. It will retrieve the current execution state and tell you what the agents are doing right now.
Can this Connector help me debug my agent backstories?
Absolutely. You can ask the agent to pull the backstory and role definitions for any agent in your fleet to ensure they are following your logic.
Is it possible to stop a running CrewAI crew through the chat?
Yes, you can send an instant interrupt signal to hard-stop any active run if you need to stop a process immediately.
How does the CrewAI Platform MCP handle input requirements?
It can identify the exact bounded inputs required to kickoff a specific crew, so you know exactly what data to provide before starting a run.
Can my agent kickoff a new CrewAI workflow?
Yes. Use the 'kickoff_crew' capability. 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' capability 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' capability dispatches an instant interrupt signal to the CrewAI platform, hard-stopping active LLM contexts and terminating the execution flow immediately.
One connection away
Give your agent a direct line to CrewAI.
Connect CrewAI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available