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 CrewAI 10 tools — connect in under 2 minutes

Name: ProcessOn
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to ProcessOn through the Vinkius — pass the Edge URL in the `mcps` parameter and every ProcessOn tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="ProcessOn Specialist",
    goal="Help users interact with ProcessOn effectively",
    backstory=(
        "You are an expert at leveraging ProcessOn tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in ProcessOn "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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.

When paired with CrewAI, ProcessOn becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ProcessOn tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the ProcessOn MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from ProcessOn

Why Use CrewAI with the ProcessOn MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ProcessOn through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

ProcessOn + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries ProcessOn for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries ProcessOn, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ProcessOn tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries ProcessOn against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

ProcessOn MCP Tools for CrewAI (10)

These 10 tools become available when you connect ProcessOn to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

ProcessOn + CrewAI FAQ

Common questions about integrating ProcessOn MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.