How to Use the Camunda (BPMN Engine) MCP in AutoGen

Q: Can I create an AutoGen 'DevOps' agent for the Camunda (BPMN Engine)?

Absolutely. You could create an agent with access to deployresources, gettopology, and getprocessdefinitionxml. This agent's role would be to manage deployments and monitor the engine's health, reporting its findings to other agents in the group.

Q: How would a debate between AutoGen agents about the Camunda (BPMN Engine) work?

An 'Operations' agent might use searchincidents and want to immediately failjob to create an incident ticket. A 'Business' agent could counter by using getvariable from the instance, arguing that the transaction value is too high for an automated failure and it should be manually reviewed first.

Q: Is it hard to set up the Camunda tools for AutoGen?

No, the autogen-extmcp package handles it. You use the mcpservertools function with your Vinkius server URL. It automatically generates tool definitions that you can pass directly to your AssistantAgent constructors.

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Connect Camunda (BPMN Engine) MCP to AutoGen

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Setup Camunda (BPMN Engine) with AutoGen

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Consensus-Driven Process Management

With AutoGen, you don't just get one agent managing Camunda. You get a team. A 'Sys-Admin' agent can use `get_topology` to monitor cluster health, while a 'Process-Owner' agent uses `search_process_instances` to track business KPIs. They use the MCP tool outputs as facts in their conversation. When a problem occurs, the conversation gets interesting. The Sys-Admin might see a failed job via `search_jobs` and want to retry it. But the Process-Owner, after calling `get_incident`, might argue for escalating it to a human. The final action is a result of their debate, not a single command.

Automate Complex Decisions with AutoGen Agents

This MCP Server provides the vocabulary for your AutoGen agents to discuss and act on your Camunda workflows. One agent could propose a new workflow by calling `deploy_resources`. Another 'QA' agent could immediately check it by trying to `start_process_instance` and then `search_process_instances` to verify it's running. This isn't a simple script; it's a simulated team. The QA agent might find an issue and argue to roll back the deployment. It has the tools to make its case, pulling data directly from the Camunda engine to support its arguments.

Simulate and Staff Your Human Tasks

You can create specialized agents to handle different aspects of human tasks. A 'Dispatcher' agent could `search_user_tasks` for unassigned work. It could then use `search_users` or `search_groups` to find the right person and `assign_user_task`. Another 'Worker' agent could then pick up that task. It might `get_user_task_form` to see what's needed and then `complete_user_task` once it has the information. These agents can converse, passing control and context back and forth just like a real team.

Setup guide

Set up Camunda (BPMN Engine) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Camunda (BPMN Engine) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Camunda (BPMN Engine)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Camunda (BPMN Engine) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Camunda (BPMN Engine)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Camunda (BPMN Engine) data")
    print(result.messages[-1].content)

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 Camunda. 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 Camunda (BPMN Engine) MCP in AutoGen

You provide the list of Camunda tools to each agent in your group chat. One agent might use `start_process_instance`, and its output (the instance ID) becomes part of the conversation history. Another agent can then use that ID to call `get_process_instance` for more details.

Absolutely. You could create an agent with access to `deploy_resources`, `get_topology`, and `get_process_definition_xml`. This agent's role would be to manage deployments and monitor the engine's health, reporting its findings to other agents in the group.

An 'Operations' agent might use `search_incidents` and want to immediately `fail_job` to create an incident ticket. A 'Business' agent could counter by using `get_variable` from the instance, arguing that the transaction value is too high for an automated failure and it should be manually reviewed first.

No, the `autogen-ext[mcp]` package handles it. You use the `mcp_server_tools` function with your Vinkius server URL. It automatically generates tool definitions that you can pass directly to your `AssistantAgent` constructors.

The MCP server only fetches data from Camunda's API on behalf of your agents—it doesn't store it. Each API call, whether it's `get_variable` or `search_users`, happens in a secure, single-use V8 sandbox that is destroyed immediately after the request. Your Vinkius token is the only key required.

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