Orkes Conductor MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Orkes Conductor 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
Vinkius supports streamable HTTP and SSE.
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: {
"orkes-conductor": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Orkes Conductor Agent",
instructions:
"You help users interact with Orkes Conductor " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Orkes Conductor?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Orkes Conductor tool infrastructure. Connect 6 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
- 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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Orkes Conductor MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from Orkes Conductor via MCP
Why Use Mastra AI with the Orkes Conductor MCP Server
Mastra AI provides unique advantages when paired with Orkes Conductor through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Orkes Conductor without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Orkes Conductor tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Orkes Conductor + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Orkes Conductor MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Orkes Conductor, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Orkes Conductor as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Orkes Conductor on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Orkes Conductor tools alongside other MCP servers
Orkes Conductor MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Orkes Conductor to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Orkes Conductor to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOrkes Conductor + Mastra AI FAQ
Common questions about integrating Orkes Conductor MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Orkes Conductor with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.