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.

CrewAI Platform MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: CrewAI Platform
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add CrewAI Platform as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="crewai_platform_agent",
            tools=tools,
            system_message=(
                "You help users with CrewAI Platform. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use CrewAI Platform tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the CrewAI Platform MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from CrewAI Platform automatically

Why Use AutoGen with the CrewAI Platform MCP Server

AutoGen provides unique advantages when paired with CrewAI Platform through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use CrewAI Platform tools to solve complex tasks

Role-based architecture lets you assign CrewAI Platform tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive CrewAI Platform tool calls

Code execution sandbox: AutoGen agents can write and run code that processes CrewAI Platform tool responses in an isolated environment

CrewAI Platform + AutoGen Use Cases

Practical scenarios where AutoGen combined with the CrewAI Platform MCP Server delivers measurable value.

Collaborative analysis: one agent queries CrewAI Platform while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from CrewAI Platform, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using CrewAI Platform data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process CrewAI Platform responses in a sandboxed execution environment

CrewAI Platform MCP Tools for AutoGen (10)

These 10 tools become available when you connect CrewAI Platform to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting CrewAI Platform to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

CrewAI Platform + AutoGen FAQ

Common questions about integrating CrewAI Platform MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call CrewAI Platform tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.