Agent-native. MCP-first. Enterprise-ready.

The automation platform
AI agents actually use

Build lightning-fast, enterprise-grade workflows that AI agents discover and trigger through MCP. Not another drag-and-drop toy. The infrastructure layer for the agent era.

Start building for freeSee it in action

Your automations are invisible to AI

Every workflow you built on legacy platforms has the same problem: AI agents can't see it, can't use it, and can't compose it. You're building automation for a world that no longer exists.

AI agents can't discover your Zapier zaps

Your n8n workflows can't be called as tools

Every automation requires a human to trigger it

No protocol for agents to compose workflows

Built from the ground up for AI agents

ZeitFlow isn't a legacy platform with an AI feature bolted on. It's agent-native infrastructure. Every workflow you build is automatically a tool that AI agents can discover, understand, and execute through the Model Context Protocol.

Agent-native architecture

Workflows are first-class tools for AI agents. They can discover capabilities, understand inputs/outputs, and execute autonomously.

MCP protocol support

Every workflow is exposed via the Model Context Protocol. Any MCP-compatible agent can find and use your automations as tools.

Lightning-fast execution

Sub-second workflow triggers. No cold starts, no queue delays. When an agent calls your workflow, it runs immediately.

Enterprise-grade security

Encrypted at rest, scoped API keys, full audit trails. Built for teams that can't afford to get security wrong.

How it works

Build visually

Design your workflow

MCP exposed

Auto-published as tool

Agent discovers

AI finds & triggers it

Executes instantly

Sub-second results

Full observability

Audit every run

Connect in seconds

Add ZeitFlow to any MCP-compatible client. Your AI agent gets 16 workflow tools instantly.

Remote (recommended)Streamable HTTP
{
  "mcpServers": {
    "zeitflow": {
      "serverUrl": "https://www.zeitflow.io/api/mcp",
      "headers": {
        "Authorization": "Bearer <your-token>"
      }
    }
  }
}

Works with Claude Desktop, Cursor, Windsurf, and any MCP client.

Local (npx)stdio transport
{
  "mcpServers": {
    "zeitflow": {
      "command": "npx",
      "args": ["@zeitflow/mcp"],
      "env": {
        "ZEITFLOW_API_TOKEN": "<your-token>"
      }
    }
  }
}

Runs locally via npx. No installation required.

Terminal
$ npx @zeitflow/mcp
See setup guides for all clients

Everything you need. Nothing you don't.

Most platforms nickel-and-dime you for every integration. ZeitFlow ships with the full stack out of the box.

Visual workflow builder

Drag-and-drop interface for building complex automation flows. Humans design, agents execute.

MCP server built-in

Every published workflow is automatically exposed as an MCP tool. Zero config required.

Multi-model AI processing

Route to the best model for each task. GPT-4, Gemini, Claude, Llama — use them all in one workflow.

API & webhook triggers

Accept JSON payloads via HTTP or webhooks to start workflows programmatically.

Hosted forms

Generate shareable form URLs that trigger workflows on submission. No frontend needed.

SMS, email, & Slack

Notify the right people through the right channel. Twilio, Resend, and Slack built in.

Conditional branching

Route data based on AI decisions or rule-based conditions. Build smart, not linear.

Full execution logs

Every workflow run is logged with inputs, outputs, timing, and status. Complete audit trail.

What teams are building

ZeitFlow workflows become tools in your AI agent's toolkit. Here's what that unlocks.

Autonomous ticket triage

AI agents classify, prioritize, and route support tickets to the right team without human intervention.

Intelligent lead routing

Agents score inbound leads with AI, enrich data, and route hot prospects to sales in real time.

Webhook orchestration

Accept webhooks from any service, let AI normalize the payload, and fan out to downstream systems.

Compliance monitoring

Agents watch for policy violations, flag issues, and notify stakeholders with full audit trails.

Multi-step agent tasks

Give your agents complex workflows as composable tools. They chain them together to solve problems.

Start from a template

Pre-built, agent-ready workflows you can deploy and customize.

Support Ticket Router

AI classifies urgency and category, routes to the right team, notifies via Slack.

AISlackMCP

Lead Qualification

Score and qualify inbound leads with AI, route hot prospects to your sales pipeline.

AISales

Webhook to Email

Accept webhook data from any service and forward formatted notifications via email.

EmailWebhook

FAQ Responder

AI generates context-aware responses to common questions. Expose as an agent tool via MCP.

AIMCP

Daily Report Generator

Compile and send daily digest emails with AI-generated summaries of key metrics.

AIReporting
Browse all templates

12+ Integrations

View all

All included on every plan. No per-connector fees. Every integration works with AI agents via MCP.

Email

Resend

Slack

OAuth

SMS

Twilio

Telegram

Bot API

Discord

Webhooks

HTTP Request

Any API

GitHub

PAT

Notion

API Token

Google Sheets

OAuth

Airtable

PAT

YouTube

OAuth

Condition

Branching

Pricing

Simple, predictable pricing. No per-agent fees. No integration surcharges.

Free

Build and test agent-ready workflows

$0/month

20 executions/hour

Pro

For teams shipping to production

$9.99/month

100 executions/hour

Business

Enterprise-grade scale and support

$29.99/month

1,000 executions/hour

All plans include MCP support, all integrations, and full audit logs. No feature gating.

Frequently asked questions

What makes ZeitFlow different from Zapier, n8n, or Make?

Those platforms were built for humans clicking buttons. ZeitFlow is agent-native — every workflow you publish is automatically a tool that AI agents can discover and use through the Model Context Protocol (MCP). If you're building for the agent era, legacy platforms aren't built for this.

What is MCP and why does it matter?

MCP (Model Context Protocol) is the open standard for AI agents to discover and use tools. When you publish a workflow on ZeitFlow, it becomes an MCP tool that any compatible AI agent — Claude, GPT, custom agents — can find and execute. It's the difference between automation that requires a human and automation that AI can use autonomously.

Is this production-ready?

ZeitFlow is designed for production workloads with enterprise-grade security, encrypted data at rest, scoped API keys, and full audit trails on every execution. Teams are running production workflows on ZeitFlow today.

What AI models are supported?

ZeitFlow supports multi-model routing. Use GPT-4, Gemini, Claude, Llama, and more — all configurable per node. Pick the best model for each task in your workflow.

Can AI agents trigger workflows autonomously?

Yes. That's the core design. AI agents discover your published workflows via MCP, understand their inputs and outputs, and trigger them without human intervention. You build the workflow once and agents use it as a tool.

Does it support conditional logic?

Yes. Workflows support conditional branching based on rules or AI decisions. Build complex routing logic that agents can leverage.

What integrations are included?

All 12+ integrations on every plan: Email (Resend), Slack, SMS (Twilio), Telegram, Discord, HTTP Request, GitHub, Google Sheets, Notion, Airtable, YouTube, and conditional branching. Plus MCP, webhooks, and hosted forms. No integration tiers or surcharges.

How fast are workflow executions?

Sub-second trigger-to-execution. No cold starts, no queue delays. When an agent or API calls your workflow, it runs immediately.

Stop building automations AI can't use

Every workflow you build on a legacy platform is invisible to AI agents. Start building on agent-native infrastructure.

Start building for free

Free plan. No credit card. Full MCP support included.