CrewAI Platform MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect CrewAI Platform through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"crewai-platform": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "CrewAI Platform Agent",
instructions:
"You help users interact with CrewAI Platform " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with CrewAI Platform?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and CrewAI Platform tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the CrewAI Platform MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from CrewAI Platform via MCP
Why Use Mastra AI with the CrewAI Platform MCP Server
Mastra AI provides unique advantages when paired with CrewAI Platform through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add CrewAI Platform without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every CrewAI Platform tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
CrewAI Platform + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the CrewAI Platform MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query CrewAI Platform, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed CrewAI Platform as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query CrewAI Platform on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using CrewAI Platform tools alongside other MCP servers
CrewAI Platform MCP Tools for Mastra AI (10)
These 10 tools become available when you connect CrewAI Platform to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting CrewAI Platform to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCrewAI Platform + Mastra AI FAQ
Common questions about integrating CrewAI Platform MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
Connect CrewAI Platform to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.