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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Spec-driven platform to build, test, version and deploy AI agents from plain-English specs, exposed as typed REST APIs.

24K visits/mo
n8n logo
n8n
✓ verifiedFreemium

Popular source-available workflow automation platform for technical teams, blending a visual canvas, code steps and AI-agent orchestration.

6.7M visits/mo
Zapier MCP logo
Zapier MCP
✓ verifiedFreemium

Widely used no-code automation platform connecting thousands of apps, now extended with AI agents, chatbots, and an MCP server.

6.0M visits/mo
Pricing
Free: $0 (up to 5 agents, 10 MB storage, 7-day logs)
Pro: $49/mo ($49 included tokens, unlimited agents, 1 GB storage)
Scale: $299/mo (25 GB storage, SSO/SCIM, 90-day logs)
Starter: €20/mo billed annually (2.5K executions)
Pro: €50/mo billed annually (10K executions)
Business: €667/mo billed annually (40K executions)

Free trial available

No public pricing

Core features
  • Plain-English specs instead of flowcharts or SDKs
  • Built-in test harness with regression detection
  • Git-like versioning, diffs and one-click rollback
  • Instant strictly-typed REST API per agent
  • Auto-generated docs and shareable web UI
  • MCP server for Claude/Cursor/ChatGPT
  • Batch processing over CSV datasets
  • Ready-made templates (PII redaction, resume screening, etc.)
  • Visual workflow builder with inline code (JS/Python)
  • 500+ app and model integrations
  • AI agent and RAG workflow support
  • Self-hosting or managed cloud
  • Human-in-the-loop approvals and guardrails
  • Enterprise features: SSO, RBAC, audit logs, Git control
  • Zap workflows linking triggers and actions across 9,000+ apps
  • No-code AI agent builder for task-specific assistants
  • Chatbots for answering customer questions with AI
  • Canvas for visually planning and mapping workflows
  • Tables for storing data that workflows can read and update
  • Forms for capturing inputs that trigger automations
  • Zapier MCP server to connect AI chat tools to app integrations
Use cases
  • Shipping production AI agents without framework code
  • Letting non-engineers edit agent logic via approval workflows
  • Automating document and data extraction/classification
  • Exposing agents as APIs across a stack
  • Building and running AI agents
  • Automating IT and security operations
  • Connecting and syncing data across apps
  • Prototyping backends and internal tools
  • Teams automating cross-app workflows without engineering resources
  • RevOps/Sales teams routing leads and updating CRMs automatically
  • Support teams deploying AI chatbots for common questions
  • Developers connecting AI coding agents to thousands of apps via MCP
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