Make
Unclaimed verified 26 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
38 servers65 toolsAI stock signal convergence � 13 sources, Bayesian scoring, verified outcomes.
Give your AI agents the tools to build, manage, and run automation workflows.
Needs a self-provisionable API key
Generate styled QR codes, manage dynamic short links with analytics, and publish landing pages.
Compresses AI chat sessions into a typed knowledge graph. Local/offline via Ollama.
Live odds and player props from 32+ sportsbooks, plus arbitrage, +EV and bet verdicts.
Publish HTML from Claude or ChatGPT to a live URL with a QR code — no developer needed.
AI-enriched financial news for AI agents & trading bots: search, trending, insider, scored 1-10.
Needs a self-provisionable API key
MCP server for Mappls (MapMyIndia) — India-first maps API for AI agents
Manage your Claude Code MCPs by talking to Claude — list, restart, wrap, and more.
MCP server for Make/Just task runners with structured, token-efficient output
AI story generator — create illustrated storybooks, AI songs, and short AI video films
Verified reference data; each record carries its source URL and quote. verify_quote checks claims.
Maker - 10 tools for lending rates, supply, and borrow data
AdMake AI is an ad creative platform. Its MCP server exposes the same tool surface the app uses, so an agent can do three things: 1. Generate ad creative. Create Facebook, Instagram, and TikTok ad images from a text prompt and an optional product photo, edit existing ads, generate ad copy, and batch out variations from an ad set. Generation runs as a background job that you poll to completion. 2. Research competitor ads. List research projects, pull competitor ads sourced from the Meta Ad Library, and read saved inspirations. 3. Manage and measure Meta campaigns. Upload finished creative to a connected Meta ad account through the official Marketing API, run preflight validation before uploading, read the campaign/ad set/ad hierarchy, and pull day-by-day spend, CTR, CPC, and conversion analytics. Authentication is OAuth 2.1 with dynamic client registration and S256 PKCE, so clients such as Claude custom connectors and ChatGPT connectors need only the server URL. Three scopes gate the
65 tools
user__meGet the authenticated user's profile, plan, and credit balance.user__getCreditsGet the authenticated user's current credit balance only.adResearch__listProjectsList the user's projects (brands). ALWAYS call this before generating anything: every generation needs a projectId, and the project's brand brief is what the render is built from. Pick the project the user's request is about; if more than one could fit, ask which. Projects cannot be created through this API — if the user has none, tell them to set one up at https://admakeai.com/dashboard.adResearch__getProjectGet one project with its full brand brief, competitors, research jobs, and scraped-ad counts. Read this before generating so the creative matches the brand.adResearch__pollStatusPoll a project's research status: pipeline stage, running scrape jobs, competitor and saved-ad counts.project__updateBrief[write] Update a project's brand brief (product summary, target audience, value proposition, industry, keywords). Sharpening the brief improves every later generation.project__getAssetsList a project's stored assets (product photos, logos) with their URLs, for use as reference images.upload__uploadImageBase64[write] Upload a JPEG, PNG, or WebP image from base64 bytes into AdMakeAI storage. Returns an image ID and public URL for image generation or Facebook campaign drafts.upload__getUserImagesList the user's previously uploaded source images, newest first, with pagination.adGeneration__create[write] Queue a FINISHED AD image render. Required: projectId. Call adResearch.listProjects first and pick the project the request is about, or ask the user when it is ambiguous; never guess an id. Also required: prompt, a creative brief rather than a finished image prompt. How the prompt is used: a creative-director model rewrites it into the real image prompt using the project's brand brief, and that rewrite always adds a specific headline, a subline, a CTA button, and the project logo when the project has one. Negative instructions in the prompt ('no text', 'no logo', 'nothing but the product') cannot suppress those; use adGeneration.generateImage when the caller wants exact or no text. Optional: adType, aspectRatio, quality (low/high/ultra), referenceImageUrls, inputImageId (from upload.uploadImageBase64), referenceAdId or referenceInspirationId to remix an existing ad. Costs credits. Returns a generation ID. Poll adGeneration.getById until status is COMPLETED.adGeneration__generateImage[write] Queue an image render from a VERBATIM prompt. The prompt goes to the image model exactly as written: no creative-director rewrite, no brand brief, no added headline, subline or CTA, and no project logo. The image contains only what the prompt stipulates. Use this when the caller wants only specific stipulated text, forbids text/logos/CTAs, or wants raw scene, product, or photography imagery rather than a finished ad; use adGeneration.create for finished ads. Required: projectId (credit scoping only, nothing from it enters the prompt) and prompt. Optional: aspectRatio, quality (low/high/ultra), referenceImageUrls and inputImageId for image-to-image. Costs the same credits as adGeneration.create. Returns a generation ID. Poll adGeneration.getById until status is COMPLETED.adGeneration__edit[write] Queue an image-to-image edit and return immediately. The universal edit tool: change background, restyle, swap a subject, change aspect ratio, add brand assets, or remix a competitor ad. Source is either sourceAdId (one of the user's own generations) or sourceImageUrl (any direct image URL). Costs credits. Poll adGeneration.getById until COMPLETED.adGeneration__getByIdGet the status, prompt, and resulting image URLs of a single ad generation by ID. Use to poll until status is COMPLETED.adGeneration__listPaginated list of the user's ad generations, newest first.adGeneration__getRecentGet the user's most recent ad generations (default limit 12).adGeneration__searchAllFull-text search across the user's ad generations by prompt.adGeneration__listPendingList the user's currently-pending ad generations.adGeneration__toggleFavorite[write] Star or unstar one of the user's ad generations. Free — use it to mark the winner of a batch.adCopyGeneration__generate[write] Write Facebook/Instagram ad copy for an ad image URL: headline, primary text, description, CTA, and hook angle. Returns up to 5 variations. Pass projectId so the copy uses the brand brief. Call this right after a generation completes.adCopyGeneration__getMessagingStylesList the ad-copy messaging styles (clickbait, professional, UGC, direct response, storytelling, ...) accepted by adCopyGeneration.generate.adSet__listPaginated list of the user's ad sets.adSet__getGet an ad set by ID, including its general instructions.adSet__create[write] Create an ad set: a project + shared brief + ad type + quality + aspect ratio that many variations are generated from. Free — the credits are charged by adSet.generateBatch.adSet__update[write] Update an ad set's brief, ad type, quality, aspect ratio, or reference images before generating another batch.adSet__getGenerationsList all ad generations belonging to an ad set.adSet__generateBatch[write] Generate a batch of ad variations from one ad set + per-variation instructions. Enqueues N background jobs and returns their generation IDs.adSet__suggestDirections[write] Ask the model for distinct creative directions (angles/hooks) for an ad set, to feed back in as per-variation instructions.videoGeneration__start[write] Queue UGC-style video ad generation for a project (script, voice, and render). Costs credits per video. Poll videoGeneration.getStatus.videoGeneration__getStatusGet the status and output URL of a single video generation by ID. Poll until COMPLETED.videoGeneration__listPaginated list of the user's completed UGC video ads.videoGeneration__listPendingList the user's currently-rendering video generations.adResearch__searchCompaniesResolve a brand name to its Facebook advertiser Page (id, name, category, follower counts). Step 1 of looking up any brand's live ads.adResearch__getCompanyAdsGet the ads a Facebook Page is currently running, from the Meta Ad Library, by pageId (from adResearch.searchCompanies). Works for any advertiser, not just the user's competitors.adResearch__addCompetitors[write] Add competitors to a project by name (optionally with website URL) and kick off ad scraping for them.adResearch__scrapeCompetitor[write] Re-scrape one competitor's live Facebook ads into the project. Returns a research job — poll adResearch.pollStatus.adResearch__getCompetitorPreviewPreview the ads already scraped for a single competitor.adResearch__getScrapedAdsBrowse the competitor ads scraped into a project, with sorting (relevance, longest_running, newest) and media-type/keyword filters. This is the raw material for remixes.adResearch__getAdDetailsGet one scraped competitor ad in full: creative URLs, ad text, headline, run dates, and platform placements.adResearch__saveInspiration[write] Save a scraped competitor ad to a project as inspiration. The returned inspiration ID can be passed to adGeneration.create as referenceInspirationId to remix it.adResearch__getSavedInspirationsList the competitor ads saved as inspiration for a project, with their inspiration IDs.facebookConnection__listList the user's connected Facebook ad accounts and Pages, with their cached identity info.facebookUpload__getCampaignsList Meta campaigns for a specific connected ad account (cache-first; refresh from Meta if cold).facebookUpload__getAdSetsList Meta ad sets under a given campaign.facebookUpload__runPreflight[write] Validate an ad-creative + ad-account pair for Meta upload (image dimensions, copy length, etc.) without uploading.facebookUpload__request[DANGER: live action] Enqueue an upload of an AdMakeAI-generated ad creative to a Meta ad account / campaign / ad set. Creates a real ad on Meta. ALWAYS confirm with the user before calling. Always confirm with the user before calling.facebookUpload__listList previously-uploaded ads, filterable by ad account and state.facebookUpload__getGet the upload state and Meta IDs of a single uploaded ad.facebookCampaignDraft__sourceAssetsResolve previously-uploaded Meta ads into reusable creative assets for a campaign draft.facebookCampaignDraft__getAgentDraftRead a saved agent-created Facebook campaign draft by draft ID before pushing.facebookCampaignDraft__pushAgentDraft[DANGER: live action] Push a saved agent-created Facebook campaign draft to Meta as draft campaigns/ad sets/ads. ALWAYS confirm with the user before calling. Always confirm with the user before calling.facebookCampaignDraft__pushDraftCampaign[DANGER: live action] Create Meta draft campaigns/ad sets/ads from explicit campaign data, ad sets, ad copy, and image URLs. Supports raw externally-hosted image URLs. ALWAYS confirm with the user before calling. Always confirm with the user before calling.zernioAnalytics__accountOverviewGet total ad-account spend and performance (spend, impressions, clicks, CTR, CPC, conversions, ROAS) for a date range like last_30_days or last_month, with previous-period comparison.zernioAnalytics__treeGet the campaign → ad-set → ad hierarchy for an ad account.zernioAnalytics__timelineGet time-series performance metrics for an ad account.zernioAnalytics__listCampaignsList Meta campaigns with rolled-up performance metrics.zernioAnalytics__listAdsList Meta ads under a campaign or ad set with performance metrics.zernioAnalytics__getAdGet a single Meta ad's metadata and creative.zernioAnalytics__getAdAnalyticsGet day-by-day analytics (spend, CTR, CPC, conversions) for a single Meta ad.zernioAnalytics__getAdCommentsList public comments on the boosted post behind a Meta ad (Facebook or Instagram placement).zernioAnalytics__pauseAd[DANGER: live action] Currently disabled: Meta ad status changes fail closed in AdMakeAI. Launch/pause from Meta Ads Manager. Always confirm with the user before calling.zernioAnalytics__resumeAd[DANGER: live action] Currently disabled: Meta ad status changes fail closed in AdMakeAI. Launch/resume from Meta Ads Manager. Always confirm with the user before calling.zernioAnalytics__pauseCampaign[DANGER: live action] Currently disabled: Meta campaign status changes fail closed in AdMakeAI. Launch/pause from Meta Ads Manager. Always confirm with the user before calling.zernioAnalytics__resumeCampaign[DANGER: live action] Currently disabled: Meta campaign status changes fail closed in AdMakeAI. Launch/resume from Meta Ads Manager. Always confirm with the user before calling.zernioAnalytics__pauseAdSet[DANGER: live action] Currently disabled: Meta ad set status changes fail closed in AdMakeAI. Launch/pause from Meta Ads Manager. Always confirm with the user before calling.zernioAnalytics__resumeAdSet[DANGER: live action] Currently disabled: Meta ad set status changes fail closed in AdMakeAI. Launch/resume from Meta Ads Manager. Always confirm with the user before calling.
Needs a self-provisionable API key
Generate software diagrams from natural language, code, ASCII, images, Mermaid.
MileMaker MCP server provides mapping services for commercial transportation.
Compose branded visual documents with live preview, data collections, validation, and PDF export.
Needs a self-provisionable API key
Find decision makers at any company: name, job title and LinkedIn profile URL. No login needed.
Create, run, and share brackets for decisions, tournaments, and group votes with no sign-up
Transcript-based audio editing: transcribe audio, edit by word ID, export edited audio.
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
MCP server for RPG Maker MZ: maps, tile painting, events, database editing, and validation.
MCP server for reading, editing, and playtesting RPG Maker MV projects
Author RPG Maker XP games in natural language: read, write and render RGSS1 .rxdata.
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.
Manage your MakeMeBetter AI tasks, habits, and goals from your AI assistant.
Needs a self-provisionable API key
Provides YouCam API for virtual try-on of clothing, jewelry, and watches.
Needs a self-provisionable API key
Provides YouCam API for AI image and video editing and generation.
Needs a self-provisionable API key
Provides YouCam API for skin, face & body analysis, beauty/makeup try-on, and hair & beard styling.
Needs a self-provisionable API key
Turn an app into TikTok-style video ads: agents pull rendered ad batches, captions, posting kits.
Generate ad images and UGC videos, research competitor ads, and manage Meta ad campaigns.
Marketing Assistant MCP: draft, approve, and publish posts to X from your coding agent.
Search 214K+ certified makeup pros worldwide: artists, salons, schools, shops, brands.
Last checked Aug 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!