How to Use the CrewAI Platform MCP in Mastra AI

Q: Where does my CRM records data and vault limits telemetry go?

Every request made via listcrews or getrunstatus runs inside an ephemeral V8 Isolate sandbox. Your CRM data and vault limits are processed entirely in-memory and never written to persistent disk, ensuring complete data isolation.

Build resilient, multi-step agent workflows using Mastra AI to drive your CrewAI Platform tasks.

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Connect CrewAI Platform MCP to Mastra AI

Create your Vinkius account to connect CrewAI Platform to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CrewAI Platform with Mastra AI

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Perplexity

Automate crew executions using the Mastra AI workflow engine

Triggering autonomous CrewAI Platform operations becomes incredibly simple when you hook this MCP Server into your Mastra AI agent. The `kickoff_crew` tool provisions a highly available JSON payload that establishes hard customer bindings within your Mastra AI workflows. If the kickoff fails due to CrewAI Platform rate limits, Mastra AI's built-in retry logic kicks in automatically to preserve the execution. This ensures your background tasks run reliably without you having to manually restart the Mastra AI workflow.

Inspect agent configurations during Mastra workflow steps

Fetching active CrewAI Platform setups is a native capability when using Mastra AI's tool integration. Your Mastra AI workflow uses `list_crews` to identify CRM records inside the headless CrewAI Platform. To verify subscription limits before scaling up runs, call `get_agent` to extract active CrewAI Platform billing rules. This lets your Mastra AI workflow make conditional decisions based on the current CrewAI Platform tier.

Control long-running tasks with human-in-the-loop approvals

Managing runaway CrewAI Platform processes requires precise control tools inside your Mastra AI workspace. Your Mastra AI agent invokes `get_run_status` to fetch cloud logs and monitor CrewAI Platform vault limits. If the run status indicates an issue, you can configure Mastra AI's `requireToolApproval` before executing `cancel_run`. This guarantees a human checks the state before Mastra AI kills a critical CrewAI Platform process.

Setup guide

Set up CrewAI Platform MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All CrewAI Platform tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "crewai-platform-mcp-client",
  servers: {
    "crewai-platform-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "CrewAI Platform Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to CrewAI Platform tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent CrewAI Platform transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CrewAI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CrewAI Platform MCP in Mastra AI

Install the Mastra MCP package and initialize a new client pointing to your Vinkius endpoint. You then call `mcpClient.listTools()` and spread those tools directly into your agent's tool array.

Mastra's workflow engine supports automatic retries with exponential backoff. If a tool like `list_tasks` fails due to network instability, the system retries the call before failing the entire run.

Yes, you can intercept destructive tool calls. For instance, you can require manual approval before your agent executes `list_agents` to vaporize validations and extract churn flags.

The Mastra client automatically detects the transport protocol. It handles both SSE and Streamable HTTP automatically, meaning you don't have to write any custom transport adapters.

Every request made via `list_crews` or `get_run_status` runs inside an ephemeral V8 Isolate sandbox. Your CRM data and vault limits are processed entirely in-memory and never written to persistent disk, ensuring complete data isolation.

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