Make
Unclaimed verified 14 jul 2026The platform to build and manage all your AI agents and automations
TL;DR
Make is a visual automation platform that allows users to build, scale, and manage complex AI-driven workflows and agents. It is designed for both SMBs and enterprise teams who need more flexibility than linear automation tools, offering a unique visual canvas for designing sophisticated logic. Its key differentiator is the combination of a drag-and-drop scenario builder with deep technical capabilities like Model Context Protocol (MCP) support.
What Users Actually Pay
No user-reported pricing yet.
Our Take
Make occupies a powerful middle ground in the automation market, offering significantly more logic-depth than Zapier while remaining more accessible than code-heavy platforms like n8n or custom-coded solutions. Its visual-first approach is its greatest strength, as it allows users to map out multi-branching 'scenarios' and observe data movement in real-time, which is essential for debugging complex AI agent behaviors. However, the platform's recent transition from a simple 'operations' model to a 'credit-based' pricing system has introduced friction for users scaling high-volume AI tasks. Technically, Make is evolving into an 'Agentic Orchestrator.' By supporting MCP, it allows AI models to directly call tools and services within its 3,000+ app ecosystem, effectively acting as the 'nervous system' for autonomous agents. While the learning curve is steeper than basic automation tools—requiring an understanding of JSON, arrays, and data mapping—it provides a level of control that few competitors can match at this price point. Make is best suited for 'power users' and operations teams who need to build production-grade automations that involve advanced logic like iterators, aggregators, and error-handling. It is particularly strong for businesses looking to move beyond simple triggers into the realm of 'Agentic AI,' where models need to reason through multiple steps and interact with diverse business data sources.
Pros
- + Visual Scenario Builder allows for complex, multi-branching logic that is easy to map and audit.
- + Vast integration library with over 3,000 pre-built apps and robust support for custom HTTP/API calls.
- + Advanced data manipulation tools including built-in functions for regex, dates, arrays, and JSON parsing.
- + Model Context Protocol (MCP) support enables seamless tool-calling for AI agents within the platform.
- + Granular error-handling and visual debugging allow users to see exactly where a workflow fails.
Cons
- - Steeper learning curve compared to competitors like Zapier, requiring knowledge of basic programming concepts.
- - The 2025 shift to credit-based pricing can make AI-intensive workflows more expensive and harder to predict.
- - Customer support response times are frequently cited as slow or inconsistent in high-volume periods.
- - Complexity of configuration can become overwhelming for simple tasks, leading to 'analysis paralysis' for new users.
Sentiment Analysis
Overall sentiment is strongly positive, particularly among technical 'no-coders' who value flexibility. While users praise the visual debugger and power of the logic builder, there is growing tension regarding the complexity for beginners and recent changes to the credit-based pricing model.
Sentiment Over Time
By Source
1250 mentions
Sample quotes (1)
- "The workflow builder in Integromat (Make) is amazingly flexible... You don't need to have an IT degree to use it, but you can create branches, loops, and all kinds of workflows."
500 mentions
Sample quotes (1)
- "Make.com is a visual development platform... but it is oversold as a no-code platform. It's difficult to build anything useful without understanding data structures."
980 mentions
Sample quotes (1)
- "Make is a game-changer for anyone looking to streamline their workflows. The visual debugger is incredible; you watch data flow through step by step."
Agent Readiness
64/100Make is exceptionally ready for AI agent integration. With the launch of 'Make AI Agents' and native support for Model Context Protocol (MCP), it allows developers to expose business tools to LLMs in a standardized way. Its REST API v2 provides full programmatic control over the platform, and its visual debugging environment is ideal for observing the non-deterministic outputs of AI agents. The platform essentially serves as a visual IDE for agentic tool-calling.
Last checked Jul 15, 2026
MCP Integrations
22 serversGive your AI agents the tools to build, manage, and run automation workflows.
Needs a self-provisionable API key
MCP server for Mappls (MapMyIndia) — India-first maps API for AI agents
AI stock signal convergence � 13 sources, Bayesian scoring, verified outcomes.
MCP server for Make/Just task runners with structured, token-efficient output
Publish HTML from Claude or ChatGPT to a live URL with a QR code — no developer needed.
Compresses AI chat sessions into a typed knowledge graph. Local/offline via Ollama.
Needs a self-provisionable API key
Generate styled QR codes, manage dynamic short links with analytics, and publish landing pages.
AI-enriched financial news for AI agents & trading bots: search, trending, insider, scored 1-10.
Manage your Claude Code MCPs by talking to Claude — list, restart, wrap, and more.
Transcript-based audio editing: transcribe audio, edit by word ID, export edited audio.
Create product photos, product videos, and UGC-style ads for Shopify, Amazon, TikTok, and
MileMaker MCP server provides mapping services for commercial transportation.
Search, generate, and curate AI media assets with recipes and lineage in Make Effects spaces.
Unofficial MCP server for Make.com automation - build, validate & deploy scenarios via AI
Needs a self-provisionable API key
Generate software diagrams from natural language, code, ASCII, images, Mermaid.
Israeli cosmetics retailer: ΔE shade matching, customer wallet, cart, orders, gift cards.
Create free invoices from your AI assistant via a pre-filled blankinvoicemaker.com link.
Turn a description into a shareable, editable PDF — invoices, certificates, reports, resumes.
RPG Maker MV Ultimate: AI copilot to generate, edit and understand RPG Maker MV projects (MCP)
Pull your TasteMaker brand kit + generated Agent Skill into your coding tool. Read-only.
Maker - 10 tools for lending rates, supply, and borrow data
Search 214K+ certified makeup pros worldwide: artists, salons, schools, shops, brands.
Last checked Jul 14, 2026
[ features ]
Prompt Management
Editing and tracking of LLM prompts
Allows to version prompts and track / compare different variants over time
Compliance & Security
Security certifications, compliance features, and access control capabilities.
SOC 2 Type I or Type II certification.
ISO 27001 information security certification.
Built-in tools for GDPR compliance (data export, deletion, consent).
Complete audit log of all data changes.
Granular permissions based on user roles.
Single Sign-On integration support.
AI Engine Coverage
Coverage and support for various AI models, LLMs, and search engines.
List of AI models and LLMs supported for tracking (e.g., ChatGPT, Gemini).
How often metrics are updated (e.g., real-time, daily).
Support for tracking in multiple countries or regions.
Orchestration Capabilities
Core features for coordinating and executing AI agent workflows.
Supports orchestration of multiple collaborating agents.
Maintains agent state and memory across interactions.
Automatically routes requests across multiple LLM providers.
Supports agents calling external tools or functions.
Deployment & Scalability
Deployment models and scalability features for production use.
Primary way to deploy and run the orchestration.
Supports multiple teams or users from single deployment.
Automatic scaling for high-load agent workflows.
Compatible with serverless/serverless-like deployments.
Observability & Monitoring
Tools for tracking performance, costs, and debugging agent runs.
Monitors and budgets LLM usage costs per run.
Detailed traces of agent steps and decisions.
Visual graphs or dashboards of agent flows.
Metrics like latency, throughput for agent executions.
Developer Experience
Tools and abstractions easing agent development and iteration.
No-code/low-code UI for designing agent workflows.
OpenAI API-compatible endpoints or SDKs.
Available as open-source with community contributions.
Programming languages with official SDK support.
Ready-to-use, customizable UI elements for auth flows.
Self-service admin dashboard for customers to manage users/orgs.
Supported frontend frameworks with dedicated guides/components.
Compare With
Reviews
No reviews yet. Be the first to review Make!