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Vinkius
Google ADKSDK
Google ADK
Camunda (BPMN Engine) MCP Server

Bring Bpmn
to Google ADK

Learn how to connect Camunda (BPMN Engine) to Google ADK and start using 25 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Activate JobsAssign User TaskComplete JobComplete User TaskDeploy ResourcesFail JobGet IncidentGet Process Definition XmlGet Process InstanceGet TopologyGet User TaskGet User Task FormGet VariableSearch GroupsSearch IncidentsSearch JobsSearch Process DefinitionsSearch Process InstancesSearch TenantsSearch User TasksSearch UsersSearch VariablesStart Process InstanceThrow Job ErrorUnassign User Task

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Camunda (BPMN Engine)

What is the Camunda (BPMN Engine) MCP Server?

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

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.

How it works

  1. Subscribe to this server
  2. Enter your Camunda Base URL and Bearer Token
  3. Start managing your BPMN workflows from Claude, Cursor, or any MCP-compatible client

No more jumping between the Camunda Modeler and Operate dashboard to check task statuses. Your AI acts as a technical process orchestrator.

Who is this for?

  • Process Engineers — instantly check process definitions and deploy updates without leaving the terminal or IDE.
  • Operations Teams — monitor incidents and manage job failures through simple natural language queries.
  • Developers — start process instances and complete user tasks during local development and testing flows.

Built-in capabilities (25)

activate_jobs

Activate (poll) jobs for workers

assign_user_task

Assign a user task to a specific user

complete_job

Complete an activated job

complete_user_task

Complete a user task with variables

deploy_resources

Deploy BPMN, DMN, or Form resources

fail_job

Mark a job as failed (triggers retries or incidents)

get_incident

Get incident details

get_process_definition_xml

Retrieve the BPMN XML of a process definition

get_process_instance

Get details of a specific process instance

get_topology

Get cluster topology and partition status

get_user_task

Get details of a specific user task

get_user_task_form

Retrieve the linked form for a user task

get_variable

Get a specific variable value

search_groups

Search for user groups

search_incidents

Search for process incidents

search_jobs

Search for job instances

search_process_definitions

Search for deployed process definitions

search_process_instances

Search for process instances

search_tenants

Search for tenants (Multi-tenancy)

search_user_tasks

Search for human tasks

search_users

Search for users

search_variables

Search for process or local variables

start_process_instance

Start a new process instance

throw_job_error

Throw a BPMN error from a job

unassign_user_task

Unassign a user task

Why Google ADK?

Google ADK natively supports Camunda (BPMN Engine) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 25 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

  • Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Camunda (BPMN Engine)

  • Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

  • Seamless integration with Google Cloud services means you can combine Camunda (BPMN Engine) tools with BigQuery, Vertex AI, and Cloud Functions

G
See it in action

Camunda (BPMN Engine) in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Camunda (BPMN Engine) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Camunda (BPMN Engine) to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Camunda (BPMN Engine) in Google ADK

The Camunda (BPMN Engine) 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. All 25 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Camunda (BPMN Engine)
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

The Vinkius Advantage

How Vinkius secures Camunda (BPMN Engine) for Google ADK

Every tool call from Google ADK to the Camunda (BPMN Engine) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I start a process instance with specific input data?

Yes! Use the start_process_instance tool and provide the variables JSON object. The AI will map your data to the process requirements automatically.

02

How do I find all tasks currently assigned to a specific user?

You can use the search_user_tasks tool with a filter like {"assignee": "user-id"}. The agent will return a list of all active human tasks for that person.

03

Is it possible to see why a process instance is stuck?

Yes. Use search_incidents to find errors in the cluster, and then get_incident with the specific key to see the error message and stack trace.

04

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

05

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

06

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

07

McpToolset not found

Update: pip install --upgrade google-adk

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