AirOps MCP Server
AI workflow orchestration — execute models, manage agents, and query memory via AI.
Ask AI about this MCP Server
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What is the AirOps MCP Server?
The AirOps MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to AirOps via 10 tools. AI workflow orchestration — execute models, manage agents, and query memory via AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate AirOps
Ask your AI agent "List all AI apps in my AirOps workspace." and get the answer without opening a single dashboard. With 10 tools connected to real AirOps data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















AirOps MCP Server capabilities
10 toolsEnrich AI knowledge
Stop a running task
Interact with AI agent
Run workflow asynchronously
Best for quick tasks. Run workflow synchronously
Get app metadata
Check execution progress
List AI applications
Search vector database
Upload file for AI
What the AirOps MCP Server unlocks
Connect your AirOps account to your AI agent to unlock professional AI workflow orchestration and agent management. From executing complex multi-step workflows synchronously or asynchronously to interacting with specialized chat agents and managing managed memory stores, your agent handles your AI operations through natural conversation.
What you can do
- Workflow Orchestration — Execute and monitor AirOps apps and workflows, passing custom parameters and retrieving structured results
- Agent Interaction — Chat directly with your specialized AirOps agents to perform niche tasks or leverage unique agent instructions
- Memory Management — Search within managed memory stores (vector databases) and add documents to enrich your AI's domain knowledge
- File Orchestration — Upload and manage files to be used as inputs for your AI workflows and data extraction tasks
- Real-time Status — Monitor execution statuses and cancel long-running AI tasks directly from your chat interface
How it works
1. Subscribe to this server
2. Enter your AirOps API Key
3. Start executing workflows and managing your AI assets through Claude, Cursor, or any MCP-compatible client
Who is this for?
- AI Engineers — automate the execution of complex LLM chains and monitor performance effortlessly
- Product Managers — audit AI app outputs and manage specialized agent configurations on the fly
- Operations Leads — integrate AI-driven data extraction and analysis into existing business processes
- Data Specialists — manage and search internal knowledge bases using AirOps memory stores
Frequently asked questions about the AirOps MCP Server
How do I find my AirOps API Key?
Log in to your AirOps account, navigate to Workspace Settings, and look for the API Keys section. You can generate and copy your secure bearer token there.
What is the difference between synchronous and asynchronous execution?
Synchronous execution (execute_workflow_sync) keeps the connection open until the AI finishes. Asynchronous (execute_workflow_async) returns an ID immediately, allowing you to check the status later, which is better for long-running tasks.
Can I search through my uploaded documents?
Yes! Use the search_memory_store tool. It performs a semantic search across your managed memory stores, returning the most relevant document chunks for your query.
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Connect AirOps 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.
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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.
Give your AI agents the power of AirOps MCP Server
Production-grade AirOps MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






