Orkes Conductor MCP Server for Cursor 6 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"orkes-conductor": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Orkes Conductor into an in-editor superpower. Ask Cursor to generate code using live data from Orkes Conductor and it fetches, processes, and writes. all in a single agentic loop. 6 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Orkes Conductor MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Orkes Conductor
Open Agent mode in chat and ask: "Using Orkes Conductor, help me...". 6 tools available
Why Use Cursor with the Orkes Conductor MCP Server
Cursor AI Code Editor provides unique advantages when paired with Orkes Conductor through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Orkes Conductor + Cursor Use Cases
Practical scenarios where Cursor combined with the Orkes Conductor MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Orkes Conductor MCP Tools for Cursor (6)
These 6 tools become available when you connect Orkes Conductor to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Orkes Conductor to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Orkes Conductor + Cursor FAQ
Common questions about integrating Orkes Conductor MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.