Bring Orchestration
to Google ADK
Create your Vinkius account to connect Orkes Conductor to Google ADK and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Orkes Conductor MCP Server?
Connect your Orkes Conductor cluster to any AI agent and get full visibility into your workflow orchestration layer — definitions, running instances, task states, and execution history.
What you can do
- Workflow Definitions — List all registered workflow definitions with versions and descriptions, or inspect a specific workflow's graph schema with tasks, operators, and branching logic
- Task Definitions — List all registered task definitions available for orchestration within your workflows
- Running Instances — List actively running workflow instances filtered by workflow name to monitor what's currently executing
- Execution Details — Get deep state details for any workflow execution including input/output mappings, task-by-task trace histories, and exceptions
- Workflow Search — Search across all workflow executions using Elasticsearch queries, filtering by status, correlation ID, or workflow type
How it works
- Subscribe to this server
- Enter your Orkes Access Key ID, Access Key Secret, and Base URL
- Start monitoring your orchestrations from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Platform engineers — monitor running workflows and quickly identify stuck or failed executions without opening the Conductor UI
- DevOps teams — search execution history for failure patterns and audit workflow definitions during incident response
- Architects — inspect workflow graphs and task definitions to understand orchestration dependencies
Built-in capabilities (6)
Get deep state details of a specific Workflow Execution
Get a specific Workflow Definition explicitly by name
List active, running workflow instances by explicit workflow name
List all explicitly registered Task Definitions via Conductor API
List all registered overarching Workflow Definitions via Orkes API
Perform an elastic Search across all Workflow executions
Why Google ADK?
Google ADK natively supports Orkes Conductor as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Orkes Conductor
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Orkes Conductor tools with BigQuery, Vertex AI, and Cloud Functions
Orkes Conductor in Google ADK
Why run Orkes Conductor with Vinkius?
The Orkes Conductor connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Orkes Conductor using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Orkes Conductor and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Orkes Conductor to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Orkes Conductor for Google ADK
Every request between Google ADK and Orkes Conductor is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I search for failed workflows across my entire history?
Yes. The search tool supports Elasticsearch query syntax — search by status (FAILED, TIMED_OUT), workflow type, date ranges, or correlation IDs. Ask your agent 'show me all failed workflows from the last 24 hours' and it returns matching executions with their IDs, failure reasons, and timestamps.
What's the difference between workflow definitions and running instances?
Definitions are the blueprints — the graph schema with tasks, operators, and branching logic. Running instances are actual executions of those definitions, each with their own input data, current state, and task-by-task progress. Think of definitions as classes and instances as objects.
Does this integration support triggering new workflow executions?
Currently, this integration focuses on observability — listing definitions, monitoring running instances, and searching execution history. It does not trigger new workflow executions. For launching workflows, use the Orkes Conductor UI or direct API calls.
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.
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.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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