Make
OfficialConnects AI assistants to your Make automation workflows, allowing them to trigger on-demand scenarios with parameters and receive structured results.
Connects AI systems to Make automation workflows, enabling assistants to trigger scenarios with parameters and receive structured JSON output from your existing Make account.
What it does
- Trigger Make scenarios from AI assistants
- Pass parameters to automation workflows
- Receive structured JSON output from scenarios
- Access all on-demand scheduled scenarios
- Parse scenario input parameters automatically
Best for
About Make
Make is an official MCP server published by integromat that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect AI assistants to Make automation — trigger Make scenarios via API, pass parameters and get structured JSON from It is categorized under developer tools.
How to install
You can install Make in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
License
Make is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Make MCP Server (legacy)
A modern, cloud-based version of the Make MCP Server is now available. For most use cases, we recommend using this new version.
A Model Context Protocol server that enables Make scenarios to be utilized as tools by AI assistants. This integration allows AI systems to trigger and interact with your Make automation workflows.
How It Works
The MCP server:
- Connects to your Make account and identifies all scenarios configured with "On-Demand" scheduling
- Parses and resolves input parameters for each scenario, providing AI assistants with meaningful parameter descriptions
- Allows AI assistants to invoke scenarios with appropriate parameters
- Returns scenario output as structured JSON, enabling AI assistants to properly interpret the results
Benefits
- Turn your Make scenarios into callable tools for AI assistants
- Maintain complex automation logic in Make while exposing functionality to AI systems
- Create bidirectional communication between your AI assistants and your existing automation workflows
Usage with Claude Desktop
Prerequisites
- NodeJS
- MCP Client (like Claude Desktop App)
- Make API Key with
scenarios:readandscenarios:runscopes
Installation
To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json:
{
"mcpServers": {
"make": {
"command": "npx",
"args": ["-y", "@makehq/mcp-server"],
"env": {
"MAKE_API_KEY": "<your-api-key>",
"MAKE_ZONE": "<your-zone>",
"MAKE_TEAM": "<your-team-id>"
}
}
}
}
MAKE_API_KEY- You can generate an API key in your Make profile.MAKE_ZONE- The zone your organization is hosted in (e.g.,eu2.make.com).MAKE_TEAM- You can find the ID in the URL of the Team page.
Alternatives
Related Skills
Browse all skillsComprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, (4) Applying accessibility standards and best practices, (5) Following platform guidelines (iOS, Android, Material Design), (6) Reviewing or improving existing Penpot designs for usability. Triggers: "design a UI", "create interface", "build layout", "design dashboard", "create form", "design landing page", "make it accessible", "design system", "component library".
UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.