Make
Unclaimed verified 8 oct 2026The platform to build and manage all your AI agents and automations
TL;DR
Make is a visual workflow automation and orchestration platform that connects over 3,000 apps and AI services on an interactive multi-branch canvas. It is built for operations teams, builders, and developers who need complex data routing, transformations, and error handling without building custom backend systems. Its primary differentiator is the combination of deep visual execution tracing with native Model Context Protocol (MCP) server support for AI agents.
What Users Actually Pay
No user-reported pricing yet.
Our Take
Make holds a prominent position in the low-code integration landscape, balancing the accessibility of linear consumer tools like Zapier with the programmatic flexibility of developer platforms like n8n. By structuring workflows (scenarios) as interconnected nodes on an open canvas with routers, iterators, aggregators, and raw JSON parsers, Make offers high architectural control without writing boilerplate integration code. The platform has significantly enhanced its value proposition for the AI era by launching a native Model Context Protocol (MCP) server and dedicated AI skills. This allows external autonomous agents (such as Claude, ChatGPT, or custom agent runtimes) to discover Make scenarios as callable tools and trigger complex multi-step automations deterministically. However, limitations remain around high-volume pricing and execution overhead. Because Make bills per executed operation, high-frequency polling or loops over thousands of items can quickly exhaust tier allowances. Additionally, parsing massive JSON payloads inside the visual UI can degrade browser rendering performance, and folder management lacks multi-tiered nesting or advanced tagging. Make is best suited for SMBs, agencies, and enterprise operations teams seeking reliable visual orchestration across modern SaaS stacks and AI agent workflows without maintaining dedicated server infrastructure.
Alternatives
Ranked by Revuo score — paid tiers never affect order.Pros
- + Visual non-linear workflow canvas with native routers, iterators, aggregators, and error handlers
- + Native Model Context Protocol (MCP) server support exposing scenarios as tools for AI agents
- + Vast catalog of over 3,000 pre-built app connectors alongside universal HTTP/REST modules
- + Cost-effective multi-step execution model compared to legacy linear automation tools
Cons
- - Operation-based pricing model can escalate quickly for high-frequency or looping automations
- - Visual scenario inspector can experience browser lag when inspecting large JSON payloads
- - Limited scenario organization features such as deep nested folder hierarchies and asset tagging
- - Support turnaround times for standard and entry-tier users can be slow
Agent Readiness
77/100Make offers strong agent readiness through its dedicated Model Context Protocol (MCP) server integration, allowing AI agents to query and execute active scenarios as structured tool calls. Combined with a comprehensive REST API, custom app developer tooling via Make CLI and VS Code, JSON blueprint export/import for source control, and native webhook endpoints, Make serves as an effective execution engine and tool backend for autonomous agent workflows.
Last checked Sep 30, 2026
MCP Integrations
47 servers66 toolsCompresses AI chat sessions into a typed knowledge graph. Local/offline via Ollama.
Sourced diamond and gemology tools for AI assistants, with 90 encyclopedia entries.
Publish HTML from Claude or ChatGPT to a live URL with a QR code — no developer needed.
Give your AI agents the tools to build, manage, and run automation workflows.
Financial news for AI agents: search, trending, insider, earnings reads, macro, scored 1-10.
MCP server for Make/Just task runners with structured, token-efficient output
AI stock signal convergence � 13 sources, Bayesian scoring, verified outcomes.
Manage your Claude Code MCPs by talking to Claude — list, restart, wrap, and more.
Needs a self-provisionable API key
Generate styled QR codes, manage dynamic short links with analytics, and publish landing pages.
Needs a self-provisionable API key
MCP server for Mappls (MapMyIndia) — India-first maps API for AI agents
Needs a self-provisionable API key
Generate DOCX and PDF documents from your DocMake templates
Marketing Assistant MCP: draft, approve, and publish posts to X from your coding agent.
Audit Make.com blueprints before importing: hardcoded secrets, dangling refs, risky settings.
Unofficial MCP server for Make.com automation - build, validate & deploy scenarios via AI
Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown.
Verified reference data; each record carries its source URL and quote. verify_quote checks claims.
AI story generator — create illustrated storybooks, AI songs, and short AI video films
Maker - 10 tools for lending rates, supply, and borrow data
Autonomous factory that finds real developer pain points and builds small paid AI tools to fix them.
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
Makefile target count, body discarded
Needs a self-provisionable API key
Generate software diagrams from natural language, code, ASCII, images, Mermaid.
MCP server for reading, editing, and playtesting RPG Maker MV projects
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.
MCP server for RPG Maker MZ: maps, tile painting, events, database editing, and validation.
Free ATS resume score and job-match checker from ResuMakeAi. Score a resume against a specific job description and get an ATS parsing score, job match percentage, missing skills, suggested keywords, and formatting issues. No auth, no signup.
1 tool
score_resumeScores a resume against a specific job description using ResuMakeAi (resumakeai.com). Returns an ATS parsing score (0-100), a job match percentage, missing skills, suggested keywords to add, and specific ATS formatting issues. Free, no account required. Use this whenever someone wants feedback on how well their resume matches a job posting, or whether it will parse correctly through applicant tracking software.
Generate finished AI videos from a brief or a script, with voiceover, scenes and captions.
Deterministic engineering solvers: biquad filter design, room eigenmodes, LLM VRAM fit.
Generate reproducible image, video, and audio assets with leading models and your own provider keys.
Generate ad images and UGC videos, research competitor ads, and manage Meta ad campaigns.
Mine, validate and paper-trade quantitative trading strategies. The engine runs on your machine.
Needs a self-provisionable API key
Turn an app into TikTok-style video ads: agents pull rendered ad batches, captions, posting kits.
Needs a self-provisionable API key
Compliant PDFs (PDF/A-2A + PDF/UA-1) from markdown or a compact DSL - fast, no headless browser.
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
Provides YouCam API for AI image and video editing and generation.
Needs a self-provisionable API key
Provides YouCam API for virtual try-on of clothing, jewelry, and watches.
Manage your MakeMeBetter AI tasks, habits, and goals from your AI assistant.
Pull your TasteMaker brand kit + generated Agent Skill into your coding tool. Read-only.
RPG Maker MV Ultimate: AI copilot to generate, edit and understand RPG Maker MV projects (MCP)
Turn a description into a shareable, editable PDF — invoices, certificates, reports, resumes.
Create free invoices from your AI assistant via a pre-filled blankinvoicemaker.com link.
Free ATS resume score and job-match checker: scores a resume against a job description.
Author RPG Maker XP games in natural language: read, write and render RGSS1 .rxdata.
Transcript-based audio editing: transcribe audio, edit by word ID, export edited audio.
Last checked Sep 13, 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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