Integrate Orkes Conductor with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet execution on Orkes Conductor
Get deep state details of a specific Workflow Execution
Get workflow def on Orkes Conductor
Get a specific Workflow Definition explicitly by name
List running on Orkes Conductor
List active, running workflow instances by explicit workflow name
List task defs on Orkes Conductor
List all explicitly registered Task Definitions via Conductor API
List workflow defs on Orkes Conductor
List all registered overarching Workflow Definitions via Orkes API
Search workflows on Orkes Conductor
Perform an elastic Search across all Workflow executions
Security & Code Integrity Audit
Every tool in the Orkes Conductor MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Supported Use Cases for Orkes Conductor
The Orkes Conductor integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Next-Gen orchestration Automation
Deploy the Orkes Conductor toolkit to manage orchestration. The integration offers robust endpoints for ChatGPT to control loved by devs settings.
Next-Gen microservices Automation
Deploy the Orkes Conductor toolkit to manage microservices. The integration offers robust endpoints for ChatGPT to control loved by devs settings.
Orkes Conductor. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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