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 Google ADK 10 tools — connect in under 2 minutes

Name: CrewAI Platform
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add CrewAI Platform as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="crewai_platform_agent",
    instruction=(
        "You help users interact with CrewAI Platform "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports CrewAI Platform as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from CrewAI Platform via MCP

Why Use Google ADK with the CrewAI Platform MCP Server

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with CrewAI Platform

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine CrewAI Platform tools with BigQuery, Vertex AI, and Cloud Functions

CrewAI Platform + Google ADK Use Cases

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

Enterprise data agents: ADK agents query CrewAI Platform and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine CrewAI Platform tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query CrewAI Platform regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including CrewAI Platform

CrewAI Platform MCP Tools for Google ADK (10)

These 10 tools become available when you connect CrewAI Platform to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

CrewAI Platform + Google ADK FAQ

Common questions about integrating CrewAI Platform MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.