Make
Unclaimed verified 12 aug 2026The platform to build and manage all your AI agents and automations
TL;DR
Make is a visual automation platform that allows users to design, build, and automate complex workflows and AI agents through an intuitive drag-and-drop interface. It bridges the gap between simple no-code tools and custom-coded solutions by offering granular control over data mapping and branching logic across.
What Users Actually Pay
No user-reported pricing yet.
Our Take
Make (formerly Integromat) occupies a strategic position as the 'power user' alternative to Zapier. While Zapier excels in simplicity and linear tasks, Make is designed for complex, multi-step business processes that require advanced data manipulation, error handling, and parallel execution. Its unique circular visual builder acts as a real-time map of data flows, making it significantly easier to debug than linear list-based competitors. Following its acquisition by Celonis, Make has pivoted aggressively toward 'Agentic Automation.' By integrating the Model Context Protocol (MCP), it allows developers to expose entire automated workflows as 'tools' for AI agents. This transforms Make from a simple connector into a scalable execution layer for large language models, providing the 'hands' for AI brains. However, the platform is not without friction. The transition from its original per-operation pricing to a credit-based system has been controversial among long-term users, and the learning curve remains steep for those without a basic understanding of JSON or API structures. It is best suited for operations teams and developers who need to build industrial-grade automations without the overhead of maintaining custom code.
Alternatives
Ranked by Revuo score — paid tiers never affect order.
Pros
- + Highly flexible visual logic builder that supports complex branching, looping, and error handling without code.
- + Superior data manipulation features, including regex, JSON parsing, and advanced mathematical functions built-in.
- + Extensive integration library with over 3,000 pre-built connectors and a robust 'Custom App' builder for niche APIs.
- + First-class AI agent support via the Model Context Protocol (MCP), allowing scenarios to be used as tools by external LLMs.
- + Generally more cost-effective than Zapier for high-volume workflows involving many steps.
Cons
- - Significant learning curve compared to linear automation tools; requires understanding of data structures and webhooks.
- - The credit-based pricing model can be difficult to predict and occasionally leads to higher costs for data-intensive tasks.
- - The visual editor can experience performance lag or 'freezing' when handling massive scenarios with hundreds of modules.
- - Technical support response times are frequently cited in reviews as being slower than industry leaders.
Agent Readiness
70/100Make is exceptionally ready for autonomous AI agents. Its native support for the Model Context Protocol (MCP) allows it to function as a standardized tool-server for LLMs. Furthermore, its robust REST API and advanced Webhook handling make it an ideal choice for developers looking to use a low-code environment as the execution engine for agentic workflows.
Last checked Aug 1, 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.
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