Orkes Conductor MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Orkes Conductor as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
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Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="orkes_conductor_agent",
instruction=(
"You help users interact with Orkes Conductor "
"using 6 available tools."
),
tools=[mcp_tools],
)
* 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 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.
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.
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
The Orkes Conductor MCP Server exposes 6 tools through the Vinkius. Connect it to Google ADK 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 Orkes Conductor to Google ADK via MCP
Follow these steps to integrate the Orkes Conductor MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 6 tools from Orkes Conductor via MCP
Why Use Google ADK with the Orkes Conductor MCP Server
Google ADK provides unique advantages when paired with Orkes Conductor through the Model Context Protocol.
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 Orkes Conductor
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 Orkes Conductor tools with BigQuery, Vertex AI, and Cloud Functions
Orkes Conductor + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Orkes Conductor MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Orkes Conductor and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Orkes Conductor tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Orkes Conductor regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Orkes Conductor
Orkes Conductor MCP Tools for Google ADK (6)
These 6 tools become available when you connect Orkes Conductor to Google ADK via MCP:
get_execution
Get deep state details of a specific Workflow Execution
get_workflow_def
Get a specific Workflow Definition explicitly by name
list_running
List active, running workflow instances by explicit workflow name
list_task_defs
List all explicitly registered Task Definitions via Conductor API
list_workflow_defs
List all registered overarching Workflow Definitions via Orkes API
search_workflows
Perform an elastic Search across all Workflow executions
Example Prompts for Orkes Conductor in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Orkes Conductor immediately.
"Show me all registered workflow definitions."
"Are there any failed workflows in the last 24 hours?"
"How many instances of the order-processing workflow are currently running?"
Troubleshooting Orkes Conductor MCP Server with Google ADK
Common issues when connecting Orkes Conductor to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkOrkes Conductor + Google ADK FAQ
Common questions about integrating Orkes Conductor MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Orkes Conductor with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Orkes Conductor to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
