--- title: "Zapier MCP: Perform tens of thousands of actions in your AI tool" description: "The fastest way to let your AI interact with thousands of apps. No complex API integrations required." image: "https://images.ctfassets.net/lzny33ho1g45/6FjbCs1vmzmkt9E2ZNLw22/7ed6fb89743cc48c28b9fa948e6f3a8f/Hero__App_tips__7_.jpg" --- # Zapier MCP: Perform tens of thousands of actions in your AI tool The fastest way to let your AI interact with thousands of apps. No complex API integrations required. Large language models can extract, classify, summarize, and write for us. They just can't execute those tasks on their own. Or not without some seriously cumbersome technical upkeep, anyway. For AI to do something in an app you use, a developer has to build a complex integration. Or, much preferred these days, you can fast-track the process with the Model Context Protocol (MCP). It's a translator between AI tools and apps that lets your AI act on your behalf. Most MCP servers connect to a single app. [Zapier MCP](https://zapier.com/mcp) opens a secure gateway to Zapier's library of more than pre-built app connections. Below I'll tell you how it works and how to install it in your AI. ### Table of contents - [What is Zapier MCP?](#what) - [What you can do with Zapier MCP](#use-cases) - [Zapier MCP vs Zapier Agents](#agents) - [Is Zapier MCP enterprise-ready?](#enterprise) - [How to get started with Zapier MCP](#get-started) ## What is Zapier MCP? MCP is a standard, a protocol. It injects your AI with a menu of apps and actions that you choose—like sending a DM in Slack or drafting an email in Outlook—then, at your command, it calls those tools for you.  Again, you'd normally have to build an integration for every app you want in your AI assistant. But over the years here at Zapier, we've built a massive library of [thousands of app connections](https://zapier.com/apps) and 30,000+ actions, which you can use in your MCP.  And because every action runs through [Zapier's governance layer](https://zapier.com/govern)—OAuth, rate limiting, audit logs, and per-action toggles—you can build safely from day one. Your AI gets access to the apps you choose, with the permissions you set, and nothing more. The menu customization built into Zapier MCP reminds me of action role-playing video games (stick with me here). In these games, you can equip your main character with gear that complements your playstyle or the quest at hand. Similarly, with Zapier MCP, you choose which actions to "equip" based on your workflows and security needs. Key features of Zapier MCP include: - **More than **** app connections: **Connect your AI to thousands of apps in our library—without having to build or maintain integrations. - **Code-free setup:** If you're not a developer, no problem. Easily connect Zapier MCP to tools like Claude or ChatGPT in minutes without coding or technical setup and then perform actions using natural language commands. - **Flexible developer setup: **For greater control, invoke the Zapier MCP directly via OpenAI's Responses API, Anthropic's Messages API, or developer tools like Python and TypeScript. - **Action naming:** Assign each action a meaningful name, so you can easily call it in your AI tool. (This is important if you want to create multiple actions that are similar but have different values—for example, separate actions for DMing your boss and DMing your direct reports.) - **AI suggestions:** To save time while setting up actions, skip entering every detail and let AI suggest values for fields. - **On/off toggles**: Quickly disable access to an action on your MCP page without deleting it, so you can enable it later while keeping all your pre-established settings. - **Centralized audit log: **Admins can see all server and tool changes in one place for compliance and troubleshooting. - **Built-in security: **Zapier MCP endpoints come with robust authentication, encryption, and rate limiting to prevent abuse. ## Zapier MCP vs Zapier Agents: What's the difference? Both Zapier MCP and [Zapier Agents](https://zapier.com/agents) enable AI to take action in your apps, but they serve different needs. ### If you want an AI teammate that works independently, use Zapier Agents Zapier Agents are AI teammates that you can easily train to work across thousands of apps—all without code. They come with a user-friendly interface and prompt assistants and can handle multi-step tasks that run automatically on the cloud, even when your laptop is closed. ### If you work primarily in an AI chatbot, install Zapier MCP  Zapier MCP integrates directly with tools like Claude and ChatGPT, and you don't need technical skills to set the connection up. It's ideal for folks who frequently work in AI chatbots or vibe code in coding agents and want to avoid switching in and out of their apps. Just describe what you need in natural language. AI will carry out actions for you right in your apps, one request at a time. ### If you're building custom solutions, use Zapier MCP with APIs or developer tools In addition to installing Zapier MCP into MCP-compatible AI clients, you can call it programmatically via OpenAI's Responses API, Anthropic's Messages API, or your own Python or TypeScript code. These connections give you more control over AI tool calls, how your AI responds, and what context it works within—great for building custom solutions, like in-app assistants and advanced chatbots. **Use this option** **If you want...** Zapier Agents A no-code AI assistant that can perform multi-step workflows and run in the background Zapier MCP with an MCP-compatible AI chatbot A no-code experience where you can conduct one-off actions inside AI with plain English, reducing context switching Zapier MCP with APIs or developer tools Full control and expanded AI capabilities, great for building customized solutions ## Is Zapier MCP enterprise-ready? Yes, Zapier MCP is enterprise-ready. Regardless of which AI client you're using, you're getting: - **SOC 2 compliance and centrally managed credentials: **Authentication runs through Zapier, with keys encrypted and rotated for you. No one is pasting API tokens into a chat window. - **Fine-grained action controls: **Admins can decide which apps each team can reach and which specific actions are available inside those apps. That means you can let your team _look up_ a Salesforce contact but not _delete_ one. In that setup, any agent that tries to start deleting things will get blocked at the governance layer. - **Managed app connections and domain restrictions: **You can control who connects what and block personal email domains, so work credentials don't leak into shadow connections. - **Bring Your Own Model (BYOM): **Need Zapier MCP usage to fit within your existing AI policy? Route AI requests through providers that your security team has already approved. - **Asset history and log streaming: **Every action is attributable and exportable. When someone asks what an agent did last Tuesday, you'll have a real answer. - [**AI Guardrails**](https://zapier.com/blog/ai-guardrails-guide/)** inside MCP workflows: **The same detection layer that protects your Zap workflows protects your MCP actions too. That way, risky inputs get caught before they hit downstream apps. Hypothetically, let's say your company is running a fairly modest setup. You use Claude and ChatGPT, rely on four core business systems (for example, Salesforce, Slack, Google Workspace, and Jira), and there are 10 employees who need to use AI to take action in those systems. Your IT team has to build 80 separate connections to set that up. That's 80 logins, 80 sets of permissions, 80 passwords to keep current, and 80 things to keep an eye on. If you add _another_ AI tool or business system, managing that can quickly get out of hand. Most of these connections get built fast and are reviewed slowly, which is how unofficial integrations and overly broad access can end up all over a company. That mess is what stalls most enterprise AI rollouts. Zapier MCP addresses that problem because we didn't tack governance onto an MCP server at the last minute. We built Zapier MCP on top of the same integration platform we've spent years and years strengthening, adding the controls that IT teams need. Your team just sets up each connection once, and it works across every AI tool they use, with the same permissions, activity log, and admin controls every time. To learn more about Zapier's governance layer, [start here](https://zapier.com/govern). ## What you can do with Zapier MCP Here's a taste of what AI can do on your behalf with Zapier MCP: You run weekly pipeline reviews and want AI to pull your Salesforce data, calculate a weighted forecast, and push the summary to Google Sheets and Slack. You're tired of re-explaining your work to AI every time you start a new chat. You want to build a searchable knowledge base from your Slack threads, Google Docs, and other research. When you log on to Slack, you're met with hundreds of unread messages. You want AI to summarize what happened, surface action items, and draft replies without you having to scroll through every thread. You store content briefs in Notion and want AI to read each brief, write a first draft of a blog post, then save it directly to Google Drive. After every client meeting, you spend 20 minutes writing a recap email. You want AI to pull your notes, draft a polished summary with decisions and next steps, and drop it in your inbox ready to send. You manage a Zendesk queue and want AI to read each unassigned ticket, classify it by type, and route it to the right team automatically. So long as you've activated the relevant actions in your MCP server, all you do is dictate these requests to your AI, and poof. Wish granted.  But here's the part I find bananas: For AI tools with speech recognition, you can just speak these directives to your AI and watch it work for you. Creating your own customized voice assistant has never been easier. Want more inspiration? [Check out our Zapier MCP templates gallery](https://zapier.com/templates/mcp) for pre-built tool bundles and suggested prompts. ## How to get started with Zapier MCP Let's start with the non-technical option: connecting Zapier MCP to either Claude or ChatGPT. 1. Log in to Zapier and head to the [Zapier MCP dashboard](http://mcp.zapier.com).  2. Click **+ New MCP Server **and choose **Claude** or **ChatGPT** as the MCP client. 3. Setting up your first action is easy—just click **+ Add tool**. In the text field, type the name of an app, and pick the one you want to connect. 4. From the list of available actions, pick the ones you want to perform in your app. 5. Now connect your app account and click **Add tool**. 6. To adjust how AI populates specific fields, click an action, the **kebab menu** (**⋮**), and then **Configure **and select your desired behavior. 7. After you've added and configured all your actions, click the **Connect** tab at the top of the Zapier MCP dashboard. 8. Follow the instructions to add Zapier MCP to your AI account. For more guidance, visit our [Zapier MCP help docs](https://help.zapier.com/hc/en-us/articles/36265392843917-Use-Zapier-MCP-with-your-client). You can also find more supported clients—including the Anthropic API, OpenAI API, Python, and TypeScript—in the [official Zapier MCP docs](https://docs.zapier.com/mcp/clients). ## Install Zapier MCP in your AI Before MCP, hooking AI up to an external app was brittle and hard to scale—and inaccessible to non-technical users. Now, with a standardized bridge between AI and real-world apps, there's a universal remote control to perform any of the thousands of actions in the Zapier ecosystem.  The clicker is in your hands. [Start getting work done with Zapier MCP today.](https://zapier.com/mcp) _This article was originally published in April 2025. It was most recently updated in May 2026._