How to Use the ProcessOn MCP in Mastra AI

Q: How do I register the ProcessOn MCP Server with a Mastra AI agent?

Instantiate the MCPClient with the server URL, then call listTools() to get the available tools. You can spread these directly into your agent's tool configuration. The framework handles the transport negotiation automatically.

Q: Can Mastra AI handle complex folder nesting in ProcessOn?

Yes, the agent can use listfolders and getfoldercontent to map out your entire directory structure. It makes decisions based on the returned hierarchy to place new flowcharts in the correct locations.

Q: How do I set up retry logic for ProcessOn exports in Mastra AI?

You wrap the exportfile tool call inside a Mastra workflow block. Define your retry policy with backoff parameters directly in the step configuration to handle any temporary API rate limits gracefully.

Run multi-step diagram workflows and auto-retry ProcessOn file exports using the Mastra AI agent framework.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect ProcessOn MCP to Mastra AI

Create your Vinkius account to connect ProcessOn to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup ProcessOn with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Build resilient diagram pipelines with Mastra AI

When a file export fails due to network hiccups, your agent shouldn't just crash. This MCP Server integration allows Mastra AI to use its built-in workflow engine to automatically retry the `export_file` call with exponential backoff. You can define complex logic that falls back to different formats if the primary export fails. The framework executes these steps reliably, ensuring your flowcharts are saved even during API instability.

Manage file systems with conditional steps

Stop writing spaghetti code to organize your workspace. Your agent can call `list_folders` to find the right target, then use conditional branching to decide whether to run `create_file` or move items around. If a folder doesn't exist, the agent handles the creation step before proceeding. This structured approach lets you automate entire cleanup routines without human supervision.

Secure workspace operations with manual approvals

Deleting files is risky business. This MCP Server exposes `delete_file`, but Mastra AI lets you require explicit human approval before dangerous tools execute. The agent pauses execution and waits for your green light before removing any diagram. It gives you complete peace of mind when letting autonomous agents manage your file tree.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ProcessOn. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ProcessOn now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ProcessOn MCP in Mastra AI

Instantiate the `MCPClient` with the server URL, then call `listTools()` to get the available tools. You can spread these directly into your agent's tool configuration. The framework handles the transport negotiation automatically.

Yes, the agent can use `list_folders` and `get_folder_content` to map out your entire directory structure. It makes decisions based on the returned hierarchy to place new flowcharts in the correct locations.

You wrap the `export_file` tool call inside a Mastra workflow block. Define your retry policy with backoff parameters directly in the step configuration to handle any temporary API rate limits gracefully.

The integration supports both Streamable HTTP and SSE transports. Mastra automatically detects the correct MCP transport type based on your connection URL, so you don't have to configure it manually.

Your flowchart structures and folder paths are processed in memory within an ephemeral V8 sandbox. No data is stored on Vinkius servers, meaning your organizational layout remains completely private and secure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript