Zapier MCP Server — 9,000+ Apps and 40,000+ Actions for AI Agents

At a glance: 30 GitHub stars, 14 forks, remote-only (hosted), Streamable HTTP + SSE transport, 9,000+ apps, 40,000+ actions, $5B valuation, ~$300M+ revenue (2026 projected).

Zapier MCP is the official MCP server from the world’s largest automation platform. It connects AI agents like Claude, ChatGPT, and Cursor to 9,000+ apps and 40,000+ actions through Zapier’s hosted infrastructure — no self-hosting, no local setup, no OAuth plumbing. Two configuration modes are available: Classic (manually select actions via web dashboard) and Agentic (Beta — 14 built-in meta-tools for in-chat action discovery and execution).

The zapier/zapier-mcp repository has 30 GitHub stars and 14 forks — modest numbers because the actual server runs on Zapier’s infrastructure. The repo contains plugins, skills, and configuration guides rather than server source code. Zapier was founded in 2012, is valued at ~$5B, operates fully remote across 40 countries with 10 million monthly active users across 750,000+ organizations, and projects annual revenue exceeding $300M in 2026. The company automates 1.5 billion tasks monthly — a 60% increase since 2023.

How It Works

Unlike most MCP servers that run locally or self-hosted, Zapier MCP is a fully managed remote server. The architecture:

AI Agent → MCP Client → Zapier MCP Server (remote) → Zapier Platform → Target App API

Configuration Modes

Zapier MCP now offers two distinct modes:

Classic — the original approach. You manually select actions at mcp.zapier.com, and each enabled action becomes a dedicated MCP tool your AI can call directly.

Agentic (Beta) — currently rolling out to all users. Instead of pre-configuring actions, your AI gets 14 built-in meta-tools that let it discover, enable, and execute actions entirely within a chat conversation:

The Agentic workflow: an AI calls discover_zapier_actions to search the app library → enable_zapier_action to activate what it needs → execute_zapier_read_action or execute_zapier_write_action to run it. The auto_provision_mcp tool can automatically set up actions from your existing Zapier connections. Skills let you save and reuse multi-step workflows.

Setup Process

1. Visit mcp.zapier.com — browse available apps and actions
2. Enable specific actions (Classic) or use Agentic mode for in-chat discovery
3. Authenticate — connect your app accounts through Zapier’s OAuth flows
4. Configure your AI client — point it at your Zapier MCP server URL

For Claude Code:

claude mcp add zapier --transport sse https://actions.zapier.com/mcp/YOUR_MCP_KEY/sse

For Claude Desktop / Cursor (JSON config):

{
  "mcpServers": {
    "Zapier MCP": {
      "url": "https://actions.zapier.com/mcp/YOUR_MCP_KEY/sse"
    }
  }
}

Authentication

Two methods for connecting to the MCP server:

App-level authentication (connecting to Gmail, Slack, etc.) is handled entirely by Zapier’s platform — you authorize once through Zapier’s web UI, and the MCP server uses those stored credentials.

Transport

Zapier MCP uses remote transport only — Streamable HTTP and SSE. No stdio option exists because the server runs on Zapier’s infrastructure, not locally.

Important: Your MCP server URL functions like a password. Anyone with the URL can execute your enabled actions. Zapier provides URL rotation for security.

Supported AI Clients

Zapier provides setup guides for a broad range of clients:

This is the widest client support of any MCP server we’ve reviewed — partly because Zapier’s remote architecture works with any client that supports HTTP-based MCP transport.

MCP Client by Zapier (Beta)

In addition to being an MCP server, Zapier now also functions as an MCP client. The MCP Client by Zapier lets you connect external remote MCP servers into your Zaps — making Zapier bidirectional in the MCP ecosystem. Triggers include “New Tool Result” and “New Tool”; actions include “Run tool” for executing tools on connected MCP servers. MCP Client only supports Streamable HTTP and SSE transports, and each tool call costs 2 tasks. This is currently in beta.

App Coverage

With 9,000+ apps and 40,000+ actions, Zapier has the largest integration library of any MCP server:

In Classic mode, you manually select which actions to expose through the web dashboard — each enabled action becomes one MCP tool. In Agentic mode, the AI can use discover_zapier_actions to search the full library and enable_zapier_action to activate what it needs on the fly — addressing the manual curation limitation of Classic mode, though Agentic is still in beta.

Pricing

Zapier MCP is available on all plans — bundled with Zaps, Tables, and Forms at no additional cost. Each MCP tool call costs 2 Zapier tasks. Tool discovery, authentication setup, action history viewing, and failed calls (auth errors, missing fields) are free.

The pricing shift matters. Before September 2025, Zapier MCP had a separate monthly limit of 300 tool calls. Now every call counts against your Zapier task quota at a 2:1 ratio. Batch operations multiply usage — 5 rows created = 5 tool calls = 10 tasks. For AI agents that make many small calls — checking data, searching records, sending messages — this can burn through tasks quickly. An agent making 20 tool calls in a conversation uses 40 tasks, which is 40% of the free tier’s monthly allowance.

Annual billing offers a 33% discount over monthly billing across all paid plans.

Security

• OAuth 2.0 and API key authentication for server access
• Endpoint encryption — all traffic over HTTPS
• Rate limiting — prevents abuse and runaway agents
• Activity audit logs — centralized log for admins to see all server and tool changes for compliance and troubleshooting
• SOC 2 Type II compliance — Zapier’s platform-level security certification
• Credential isolation — app credentials stored on Zapier’s side, never exposed to the AI model
• URL rotation — regenerate your MCP server URL if compromised
• Granular action control — on/off toggles for individual actions without deletion
• AI Guardrails (launched March 30, 2026) — inline safety checks that detect PII (30+ types), prompt injection attempts, toxic language, and negative sentiment before AI outputs reach downstream systems. Powered by AWS Comprehend (ML actions with confidence scores) and Amazon Bedrock (LLM actions). Available on all plans and callable as MCP tools directly from AI clients

Comparison With Alternatives

vs. Composio: Composio has fewer apps (850+ vs. 9,000+) but offers self-hosting, MIT-licensed code, and a dramatically more generous free tier (20K calls/month vs. ~50 MCP calls). Composio now enforces MCP API key authentication by default (since March 2026) with SOC2/ISO certification. For agent-heavy workloads, Composio’s pricing is significantly cheaper.

vs. Pipedream: Pipedream sits between them — 2,800+ apps, per-app MCP endpoints that auto-generate tools, and a credit-based pricing model. Pipedream offers more developer control (three tool modes, self-hosted option) but was acquired by Workday (November 2025), introducing platform uncertainty.

vs. n8n: n8n is the developer-first choice — self-hosted, fair-code licensed, unlimited executions on self-hosted instances. Far fewer integrations (400+) but n8n now supports MCP on both sides: it can consume MCP servers as tools for its AI agents and expose its own workflows as MCP servers for external agents. Best for teams that want full control and don’t mind managing infrastructure.

vs. Individual MCP Servers: Dedicated servers for specific platforms (like the GitHub MCP Server or Slack MCP Server) will always offer deeper, more complete API coverage. Zapier trades depth for breadth — convenient when you need many integrations, limiting when you need every feature of one API.

Known Issues

• Reliability concerns — Independent reviewers describe the MCP implementation as “not ready for production” and “feels more like an alpha: unstable, poorly documented, and inconsistent in execution.” Identical prompts can produce different results across runs.
• OAuth failures — Users report OAuth login failures, redirect URI mismatches with Claude Desktop (invalid_request: Mismatching redirect URI), and HTTP 500 errors during token exchange with Claude Code.
• ChatGPT limitations — MCP tools in ChatGPT only work in Developer Mode and don’t automatically refresh available tools.
• Inconsistent action execution — Actions that work once may fail on retry, with unclear root causes related to latency, caching, or backend issues.
• No self-hosted option — Unlike Composio and n8n, there’s no way to run Zapier MCP on your own infrastructure. You’re fully dependent on Zapier’s hosted service.
• Manual action curation (Classic mode) — In Classic mode, you must individually select and configure each action through the web UI. The new Agentic mode (Beta) addresses this with dynamic in-chat discovery, but it’s still rolling out and not yet stable for all users.
• Task cost escalation — At 2 tasks per call, AI agent workloads can consume task quotas quickly. Batch operations multiply costs (5 rows = 10 tasks). A moderately active agent could exhaust the free tier in a single conversation.
• Multi-account gaps — Some integrations (e.g., Google Ads) automatically link to the primary account with no way to select or switch between accounts.
• Agentic mode maturity — The 14-tool Agentic configuration is in beta and still rolling out. Early adopters should expect rough edges in action discovery and skill management.

What We Think

Rating: 3 out of 5

Zapier MCP has the widest app coverage of any MCP server — 9,000+ apps and 40,000+ actions is unmatched. The setup experience is genuinely easy for non-technical users: visit a web page, pick your actions, paste a URL. No Docker, no npm, no OAuth configuration. Zapier handles all of that.

The Agentic mode is a meaningful step forward. The 14 built-in meta-tools let AI agents discover and enable actions on the fly — no more manual pre-configuration for every workflow. Skills let you save and reuse multi-step sequences. Combined with AI Guardrails for PII detection and prompt injection prevention, Zapier is building toward a safer, more autonomous agent experience. But Agentic is still in beta, and the reliability concerns from Classic mode haven’t been fully resolved.

The pricing model remains the bigger concern. At 2 tasks per MCP call, AI agents burn through quotas fast. The free tier gives you ~50 MCP calls per month — enough to try it, not enough to build on. A Professional plan ($19.99/mo) gets you ~375 calls, which a busy agent could exhaust in a day. Compare this to Composio’s 20,000 free calls/month or n8n’s unlimited self-hosted executions.

Where Zapier wins: Non-technical users already paying for a Zapier plan with unused task capacity. The breadth of integrations is unmatched, and the web-based action configuration is the simplest in the market. The new Agentic mode adds dynamic discovery, and AI Guardrails add a safety layer no competitor currently matches. If you need to connect an AI agent to 10+ apps quickly and you don’t care about self-hosting, Zapier is the fastest path.

Where it falls short: Developers building agent systems will find the lack of self-hosting, proprietary architecture, closed-source server, 2x task pricing, and reliability issues all pointing toward alternatives. Composio and n8n offer more developer control, better pricing for agent workloads, and open-source codebases.

Best for: Non-technical users on existing Zapier plans who want to add AI capabilities to familiar workflows. Not ideal for: Developers building agent systems that need reliable, high-volume tool access at predictable cost.

This review reflects research conducted in March–April 2026. Zapier MCP is actively evolving — check the GitHub repository and documentation for the latest information.

Category: Business & Productivity

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