AirOps Connector for AI agents.
10 live capabilities
Run complex LLM chains and manage agentic workflows via natural conversation.
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Why people use AirOps
AirOps for Ending Manual LLM Chain Stitching
AirOps changes this by letting your agent handle the sequence. You tell the agent what you need, and it triggers the specific apps and workflows required to get the job done. You get a final result without ever having to leave your chat window.
What Vinkius changes
You get a direct control panel for your AI workflows inside any chat app.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Extracting data from messy PDFs
A user uploads a document and asks the agent to pull all dates and names.
- Real-world use case 02
Searching internal knowledge
A team member asks for a specific policy.
- Real-world use case 03
Delegating to a legal bot
A user needs a contract review.
Complete set · 10capabilities
The complete AirOps capability set.
These are the exact actions your AI can choose when you ask it to work with AirOps.
01—04
4 capabilities in this set.
Part of 10 available through AirOps.
- 01 Capability
List apps
See all the AI applications in your workspace. You'll know exactly what's available to run at any time.
- 02 Capability
Get app details
Pull the metadata for a specific app. This helps you understand the configuration and requirements for a task.
- 03 Capability
Execute workflow sync
Run a workflow and wait for the result immediately. This is perfect for quick tasks that need an instant answer.
- 04 Capability
Execute workflow async
Start a workflow and let it run in the background. Use this for longer tasks that don't need to finish right away.
05—07
3 capabilities in this set.
Part of 10 available through AirOps.
- 05 Capability
Get execution status
Check how a background task is doing. You can see the progress of long-running workflows in real time.
- 06 Capability
Cancel execution
Stop a task that's taking too long or isn't working right. This gives you control over your active workflows.
- 07 Capability
Chat with agent
Send a message to a specialized agent. This lets you tap into niche instructions for specific jobs.
08—10
3 capabilities in this set.
Part of 10 available through AirOps.
- 08 Capability
Search memory store
Query your vector database for specific info. This pulls relevant context from your managed memory stores.
- 09 Capability
Add memory document
Add new files to your knowledge base. This keeps your AI's domain knowledge up to date.
- 10 Capability
Upload file
Put files into AirOps for your AI to use. This makes it easy to feed large documents into your workflows.
Set up in minutes
One URL. Then ask AirOps to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AirOps from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it AirOps, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AirOps for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the AirOps URL.
- Step 03
Save and start
Save the connection and enable AirOps in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"airops": {
"url": "https://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using AirOps
Open Agent mode in chat and ask: "Using AirOps, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"airops": {
"url": "https://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using AirOps
Ask Copilot: "Using AirOps, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"airops": {
"url": "https://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using AirOps
Open Cascade and ask: "Using AirOps, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"airops": {
"url": "https://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using AirOps
Ask Cline: "Using AirOps, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add airops --transport http "https://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using AirOps
Ask Claude: "Using AirOps, show me...". 10 tools are ready
Where the request belongs
Work AirOps can move forward.
The AI engineer who's tired of clicking through dashboards at 2am to check on a batch process or the ops lead trying to automate data extraction from messy PDFs.
AI Engineer
Manages complex LLM chains and monitors execution performance to ensure high reliability.
Product Manager
Audits AI app outputs and adjusts agent configurations on the fly to refine user experience.
Operations Lead
Integrates AI-driven data extraction into existing business flows to cut out manual entry.
Data Specialist
Searches and manages internal knowledge bases using vector stores to keep information accessible.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Eden AI
Equip your AI agent to manage unified AI workflows, track providers, and monitor API usage via the Eden AI platform.
Lindy (Autonomous AI Employees)
Manage autonomous AI employees via Lindy. trigger task runs, monitor reasoning logs, and audit app integrations.
AutoGen
Orchestrate Microsoft AutoGen multi-agent workflows. manage sessions, agent roles, workflows, and monitor execution logs from any AI agent.
Flowise
Manage low-code AI workflows via Flowise. run predictions, track chatflows and agentflows, handle capabilities, and audit execution history directly from any AI agent.
AgentOps (Agent Telemetry and Monitoring)
Monitor and observe your AI agents with AgentOps. track traces, spans, and project metrics directly from your agent.
Bring your own AI
Change the model, client or framework. Keep AirOps connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about AirOps.
The practical details behind the request, access and result.
Can I use the AirOps MCP to run multi-step workflows?
Yes. You can trigger complex sequences of actions and get structured data back without having to manually click through different steps.
How does the AirOps MCP handle long-running tasks?
It allows your agent to start a task in the background and then check back later for a status update, so your chat doesn't get hung.
Can I use AirOps MCP to search my own documents?
Yes, if you connect your memory stores, your agent can search through your specific documents and knowledge base to find relevant info.
Does the AirOps MCP support file uploads?
It does. You can upload files directly for your agent to use as inputs for data extraction or other automated workflows.
Can I talk to specialized agents using AirOps MCP?
Yes, you can interact with specific bots that have their own unique instructions for niche tasks like legal review or data cleanup.
Is AirOps MCP good for data extraction?
It's a great fit. It helps you automate pulling specific data points out of documents and putting them into a structured format.
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 capability. It performs a semantic search across your managed memory stores, returning the most relevant document chunks for your query.
One connection away
Give your agent a direct line to AirOps.
Connect AirOps once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available