iPaaS via MCP — by vatech.io

Your AI assistant can now
run your business automations

HeadlessOps is an iPaaS platform with a native MCP server. Tell Claude, Cursor, or any LLM to build and trigger integrations — no dashboards, no clicking, just conversation.

See how it works

MCP-native · Works with Claude, Cursor, Codex · Built by vatech.io · No UI required

Works with every MCP-compatible AI client

Claude Desktop Anthropic

Cursor IDE

Codex OpenAI

Windsurf Codeium

VS Code Copilot

Any MCP client Open standard

MCP tools exposed by HeadlessOps

create_integration Build a new workflow

run_integration Trigger a workflow run

get_run_logs Read step-level logs

list_integrations See all workflows

update_integration Modify a workflow

create_credential Store a secret safely

list_runs Check run history

create_data_store Persist workflow data

Open MCP standard

Works with any MCP-compatible client today and tomorrow

AI-native execution

LLMs write, deploy, and debug integrations end-to-end

Secrets never leave the vault

LLMs reference credentials by name, never see raw values

What is HeadlessOps

Automation infrastructure
your LLM can control

HeadlessOps exposes your entire integration platform as an MCP server. Claude, Cursor, Codex, or any AI assistant can create workflows, trigger runs, read logs, and manage credentials — all through natural language. No dashboards. No clicking. Just your AI doing the work.

Talk to your automations

"Create a workflow that syncs new HubSpot contacts to Slack every morning." Done. Your LLM writes the integration, deploys it, and confirms it's running.

MCP-native from day one

HeadlessOps ships with a first-class MCP server. Add it to Claude Desktop, Cursor, or any MCP-compatible client in seconds. No custom tooling needed.

Multiply your LLM's reach

Claude is smart but can't act on your business systems. HeadlessOps gives it hands — real integrations that run, persist, and report back.

Get early access →

Secure credential vault

Your AI references credentials by name — never sees the raw secrets. Store API keys, OAuth tokens, and secrets once; use them across every workflow.

Full run observability

Ask your AI "why did the sync fail last night?" and it reads the step-level logs directly. Every run is logged with inputs, outputs, timing, and errors.

Team workspaces

Share integrations, credentials, and data stores across your team. Every team member's AI assistant operates within the same shared automation infrastructure.

See how it works

How it works

Your AI assistant becomes
your automation engineer

Three steps from "I want to automate this" to a running, monitored workflow — entirely through conversation.

Step 1 — Connect HeadlessOps MCP

Add HeadlessOps to your AI client

Install the HeadlessOps MCP server in Claude Desktop, Cursor, or any MCP-compatible client. One config line. Your AI now has full access to your automation platform.

Store your API credentials in the HeadlessOps vault once. Your AI references them by name — it never sees the raw secrets.

claude_desktop_config.json

{
  "mcpServers": {
    "headlessops": {
      "command": "npx",
      "args": ["-y", "@headlessops/mcp"],
      "env": { "HEADLESSOPS_API_KEY": "..." }
    }
  }
}

1 line to connect your AI client

Works with Claude, Cursor, Codex, Windsurf

Zero credential exposure to LLM

Step 2 — Describe what you want

Just tell your AI what to automate

No workflow builder. No drag-and-drop. Just describe the business process in plain English and your AI writes the integration, deploys it, and confirms it's live.

You

Every time a deal closes in HubSpot, send a Slack message to #sales and create a task in Notion for the account manager.

Claude

Created workflow hubspot-deal-closed. Deployed and active. It will trigger on HubSpot deal stage → "Closed Won", post to #sales, and create a Notion task. Want me to test it with a sample payload?

LLM describes workflow

↓

MCP tool: create_integration

↓

Deployed & running

↓

LLM confirms to user

Step 3 — Monitor & iterate

Ask your AI to debug, fix, and improve

Every run is logged at the step level. Ask your AI "why did the sync fail last night?" and it reads the logs, diagnoses the issue, and patches the workflow — all in one conversation.

No context switching. No dashboards. Your AI is your ops engineer, on call 24/7.

Full step-level run logs via MCP

AI-driven debugging & patching

99.9% uptime SLA

Pricing

Simple, transparent pricing

Pay for tasks executed. Add expert automation hours when you need a human in the loop.

Growth

$299 /month

For teams starting to automate with AI.

Tasks included 25,000 / mo

Overage $3 / 1k tasks

Expert hours —

✓ MCP server access
✓ Unlimited integrations
✓ Credential vault
✓ Webhook & schedule triggers
✓ Step-level run logs
✓ Email support

Your AI assistant can now run your business automations

Automation infrastructureyour LLM can control