How to Use the Activepieces MCP in Mastra AI

Q: How secure are the OAuth tokens passed through the Activepieces MCP Server?

Using upsertappconnection requires sending raw secret text or OAuth payloads through the connection. Vinkius processes these credentials inside an ephemeral zero-trust environment that drops all memory after the execution completes. We never store or log your authentication secrets.

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Connect Activepieces MCP to Mastra AI

Create your Vinkius account to connect Activepieces 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 Activepieces with Mastra AI

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Automate tenant creation

Your Mastra AI workflow can spin up isolated environments using the `create_project` and `invite_user` tools. SaaS platforms often need to generate distinct workspaces for new signups. Doing this manually scales poorly when customer volume spikes. The agent detects a new account creation and immediately provisions the required infrastructure. If the API times out, Mastra catches the failure and applies exponential backoff before retrying the setup. You get rock-solid provisioning without writing complex polling logic.

Sync credentials via MCP Server

Managing third-party authentications relies heavily on `upsert_app_connection` and `delete_app_connection`. Expired OAuth tokens break automations silently until a user complains. Your agent pipeline can actively monitor these links and rotate them when necessary. A scheduled Mastra workflow checks connection health across all projects. When it finds a broken link, the agent attempts an update using stored backup credentials. If that fails, it branches the workflow to page an admin on Slack while disabling the affected automations.

Manage flow releases safely

Triggering `create_project_release` pushes updated automations into production. Code changes in your main repository need to reflect in the active workflows. Exposing this command lets your agent act as a CI/CD pipeline for low-code assets. Before cutting a release, the agent can run `configure_git_repo` to ensure everything syncs correctly. If the branch merge encounters conflicts, Mastra halts the deployment and requests human approval. Your platform stays stable because the AI knows exactly when to stop and ask for help.

Setup guide

Set up Activepieces 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 Activepieces 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: "activepieces-mcp-client",
  servers: {
    "activepieces-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Activepieces 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 Activepieces. 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 Activepieces MCP in Mastra AI

Install @mastra/mcp and instantiate a new MCPClient with your Vinkius server URL. Mastra auto-detects whether to use SSE or Streamable HTTP. Spread the output of listTools() directly into your agent configuration.

Yes, you can configure a workflow to monitor execution errors and call delete_flow if a specific process fails repeatedly. We recommend requiring tool approval for destructive actions. This keeps a human in the loop before anything gets permanently removed.

Mastra automatically catches network errors from the tool execution and triggers its built-in retry mechanism. The workflow will pause and attempt the call again using exponential backoff. Your agent will not crash just because a single endpoint timed out.

You can filter the tools returned by the client before passing them to the agent. If you only want the AI to read data, just provide list_flows and list_flow_runs. Dropping the mutation commands guarantees the agent cannot break your setup.

Using upsert_app_connection requires sending raw secret text or OAuth payloads through the connection. Vinkius processes these credentials inside an ephemeral zero-trust environment that drops all memory after the execution completes. We never store or log your authentication secrets.

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