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 OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: CrewAI Platform
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CrewAI Platform through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="CrewAI Platform Assistant",
            instructions=(
                "You help users interact with CrewAI Platform. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from CrewAI Platform"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 10 tools from CrewAI Platform through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CrewAI Platform, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the CrewAI Platform MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from CrewAI Platform

Why Use OpenAI Agents SDK with the CrewAI Platform MCP Server

OpenAI Agents SDK provides unique advantages when paired with CrewAI Platform through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

CrewAI Platform + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the CrewAI Platform MCP Server delivers measurable value.

Automated workflows: build agents that query CrewAI Platform, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries CrewAI Platform, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through CrewAI Platform tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query CrewAI Platform to resolve tickets, look up records, and update statuses without human intervention

CrewAI Platform MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect CrewAI Platform to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

CrewAI Platform + OpenAI Agents SDK FAQ

Common questions about integrating CrewAI Platform MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.