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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.

Fastn UCL logo
Fastn UCL
✓ verifiedPaid

Enterprise MCP gateway connecting AI agents to 1000+ tools while compressing context, cutting token costs, and enforcing guardrails.

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

No public pricing

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
  • Tool orchestration that filters tools/schemas by task intent
  • Tool composition that batches and merges chained tool calls
  • Result caching and schema adaptation to reduce latency
  • Usage, cost, and reasoning-path tracking for auditability
  • RBAC and compliance guardrails (SOC 2, ISO, GDPR, HIPAA-ready)
  • Access to 1000+ pre-built integrations via one MCP server
  • Multi-tenant support for embedding integrations into a product
  • 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
  • Enterprises connecting AI agents to many internal/external tools securely
  • SaaS companies embedding multi-tenant integrations for their users
  • Teams wanting to reduce token costs and latency in agentic tool use
  • 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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