How do I find my ProcessOn API Key and Secret?

Log in to your ProcessOn account, navigate to the [API Developer Center](https://www.processon.com/api), and apply for developer credentials to receive your unique API Key and Secret.

Can I export my mind maps to PDF through the agent?

Yes. Use the `export_file` tool with the diagram file ID and specify 'pdf' as the format. Your agent will provide the download link for the exported file.

Does ProcessOn support real-time collaboration?

Yes, ProcessOn is natively built for visual collaboration. You can list existing collaborators for any diagram using the `list_collaborators` tool.

ProcessOn MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: ProcessOn
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ProcessOn through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to ProcessOn "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ProcessOn?"
    )
    print(result.data)

asyncio.run(main())

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 ProcessOn MCP Server

Empower your AI agent to orchestrate your visual documentation with ProcessOn, the premier online platform for flowcharts, mind maps, and organizational charts. By connecting ProcessOn to your agent, you transform complex diagram management and project coordination into a natural conversation. Your agent can instantly list your files, create new diagrams, export your work into multiple formats, and even monitor collaborators without you ever needing to navigate the web interface. Whether you are designing a system architecture or a complex business process, your agent acts as a real-time visual documentation assistant, keeping your diagrams organized and your production moving.

Pydantic AI validates every ProcessOn tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Diagram Orchestration — List all accessible flowcharts, mind maps, and diagrams across your ProcessOn workspace.
File Management — Create, retrieve, and delete diagrams with full support for collaborative metadata.
Export Control — Seamlessly export diagrams into standard formats like png, pdf, svg, and Visio.
Folder Organization — Browse folder structures and manage diagram locations efficiently.
Collaboration Monitoring — List file collaborators and manage access insights for your team.

The ProcessOn MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic 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 ProcessOn to Pydantic AI via MCP

Follow these steps to integrate the ProcessOn MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from ProcessOn with type-safe schemas

Why Use Pydantic AI with the ProcessOn MCP Server

Pydantic AI provides unique advantages when paired with ProcessOn through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ProcessOn integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your ProcessOn connection logic from agent behavior for testable, maintainable code

ProcessOn + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ProcessOn MCP Server delivers measurable value.

Type-safe data pipelines: query ProcessOn with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ProcessOn tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ProcessOn and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ProcessOn responses and write comprehensive agent tests

ProcessOn MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect ProcessOn to Pydantic AI via MCP:

create_file

Create a new diagram

delete_file

Delete a diagram

export_file

Export a diagram

get_file

Get diagram file details

get_folder_content

Get folder contents

get_org_info

Get organization details

get_recent_files

Get recent files

list_collaborators

List file collaborators

list_files

List all ProcessOn files

list_folders

List all folders

Example Prompts for ProcessOn in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ProcessOn immediately.

"List all my flowcharts on ProcessOn."

"Create a new mind map titled 'Q4 Goals' in the 'Planning' folder."

"Export the diagram 'Architecture V2' to PNG format."

Troubleshooting ProcessOn MCP Server with Pydantic AI

Common issues when connecting ProcessOn to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ProcessOn + Pydantic AI FAQ

Common questions about integrating ProcessOn MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your ProcessOn MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.