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Camunda (BPMN Engine) MCP Server for Mastra AIGive Mastra AI instant access to 25 tools to Activate Jobs, Assign User Task, Complete Job, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Camunda (BPMN Engine) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Camunda (BPMN Engine) MCP Server for Mastra AI is a standout in the Developer Tools category — giving your AI agent 25 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "camunda-bpmn-engine": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Camunda (BPMN Engine) Agent",
    instructions:
      "You help users interact with Camunda (BPMN Engine) " +
      "using 25 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Camunda (BPMN Engine)?"
  );
  console.log(result.text);
}

main();
Camunda (BPMN Engine)
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* 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 Camunda (BPMN Engine) MCP Server

Connect your Camunda engine to any AI agent to automate and monitor complex business workflows through natural language.

Mastra's agent abstraction provides a clean separation between LLM logic and Camunda (BPMN Engine) tool infrastructure. Connect 25 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Process Management — Deploy BPMN, DMN, or Form resources and start new process instances with custom variables.
  • Human Task Orchestration — Search for pending user tasks, assign them to specific users, and complete them to move workflows forward.
  • Incident Monitoring — Identify and inspect process incidents and jobs to troubleshoot bottlenecks or failures in real-time.
  • Definition Inspection — Retrieve BPMN XML definitions and search through deployed process definitions to understand workflow logic.
  • Cluster Topology — Monitor the health and topology of your Camunda cluster directly from your conversation.

The Camunda (BPMN Engine) MCP Server exposes 25 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 25 Camunda (BPMN Engine) tools available for Mastra AI

When Mastra AI connects to Camunda (BPMN Engine) through Vinkius, your AI agent gets direct access to every tool listed below — spanning bpmn, workflow-automation, process-orchestration, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

activate

Activate jobs on Camunda (BPMN Engine)

Activate (poll) jobs for workers

assign

Assign user task on Camunda (BPMN Engine)

Assign a user task to a specific user

complete

Complete job on Camunda (BPMN Engine)

Complete an activated job

complete

Complete user task on Camunda (BPMN Engine)

Complete a user task with variables

deploy

Deploy resources on Camunda (BPMN Engine)

Deploy BPMN, DMN, or Form resources

fail

Fail job on Camunda (BPMN Engine)

Mark a job as failed (triggers retries or incidents)

get

Get incident on Camunda (BPMN Engine)

Get incident details

get

Get process definition xml on Camunda (BPMN Engine)

Retrieve the BPMN XML of a process definition

get

Get process instance on Camunda (BPMN Engine)

Get details of a specific process instance

get

Get topology on Camunda (BPMN Engine)

Get cluster topology and partition status

get

Get user task on Camunda (BPMN Engine)

Get details of a specific user task

get

Get user task form on Camunda (BPMN Engine)

Retrieve the linked form for a user task

get

Get variable on Camunda (BPMN Engine)

Get a specific variable value

search

Search groups on Camunda (BPMN Engine)

Search for user groups

search

Search incidents on Camunda (BPMN Engine)

Search for process incidents

search

Search jobs on Camunda (BPMN Engine)

Search for job instances

search

Search process definitions on Camunda (BPMN Engine)

Search for deployed process definitions

search

Search process instances on Camunda (BPMN Engine)

Search for process instances

search

Search tenants on Camunda (BPMN Engine)

Search for tenants (Multi-tenancy)

search

Search user tasks on Camunda (BPMN Engine)

Search for human tasks

search

Search users on Camunda (BPMN Engine)

Search for users

search

Search variables on Camunda (BPMN Engine)

Search for process or local variables

start

Start process instance on Camunda (BPMN Engine)

Start a new process instance

throw

Throw job error on Camunda (BPMN Engine)

Throw a BPMN error from a job

unassign

Unassign user task on Camunda (BPMN Engine)

Unassign a user task

Connect Camunda (BPMN Engine) to Mastra AI via MCP

Follow these steps to wire Camunda (BPMN Engine) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 25 tools from Camunda (BPMN Engine) via MCP

Why Use Mastra AI with the Camunda (BPMN Engine) MCP Server

Mastra AI provides unique advantages when paired with Camunda (BPMN Engine) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Camunda (BPMN Engine) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Camunda (BPMN Engine) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Camunda (BPMN Engine) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Camunda (BPMN Engine) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Camunda (BPMN Engine), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Camunda (BPMN Engine) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Camunda (BPMN Engine) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Camunda (BPMN Engine) tools alongside other MCP servers

Example Prompts for Camunda (BPMN Engine) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Camunda (BPMN Engine) immediately.

01

"Start a new instance of the 'order-fulfillment' process with orderId 550."

02

"Search for all pending user tasks assigned to 'admin'."

03

"Show me the BPMN XML for process definition 2251799813685250."

Troubleshooting Camunda (BPMN Engine) MCP Server with Mastra AI

Common issues when connecting Camunda (BPMN Engine) to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Camunda (BPMN Engine) + Mastra AI FAQ

Common questions about integrating Camunda (BPMN Engine) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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