AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published Apr 23, 2026·Updated Jul 13, 2026
Independently verified against live vendor data on Jul 13, 2026.
FeaturedSponsored placement. Editorial score is independent.

Visual Automation for 3,000+ Apps

Build complex multi-step workflows without code. Advanced branching, routing, and error handling included.

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Visual workflow automation with advanced branching and data manipulation across 3,000+ apps. MCP server and client included. Free tier; Core $9/mo billed annually ($10.59 monthly).

How we scored it

Autonomy

4/5

Integrations

5/5

Pricing clarity

4/5

Evidence

5/5

Setup

3/5

The facts

From

$9

freemium · annual

GitHub

Stars

G2

4.6 / 5

332 reviews ↗

MCP

⚡ Server + client

Server + client

Reviews

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Make (formerly Integromat, acquired by Celonis in 2020) is a visual workflow automation platform that lets users build complex multi-step automations through a drag-and-drop scenario canvas. Unlike Zapier's linear trigger-action model, Make uses a visual canvas where users create branching paths, loops, error handlers, iterator modules, and parallel processing flows. The platform connects 3,000+ standard apps and supports advanced data manipulation. JSON parsing, array operations, text formatting, regular expressions, and mathematical functions are all available natively within scenarios without requiring custom code. For teams that need code, the Make Code App executes custom JavaScript or Python directly within scenarios at 2 credits per second of execution time. The agentic layer runs on top of the visual automation core. Make AI Agents enables building and managing autonomous AI agents within workflows that can make decisions, call external tools, and loop until conditions are met without per-step human approval. Agents use Make's AI Provider on all plans or a user-supplied LLM API key. The Library of Agents provides ready-made AI agents that can be deployed and adapted instantly. The Make MCP Server connects Claude, Cursor, and other AI assistants directly to Make scenarios, enabling programmatic scenario management and workflow execution via natural language. The Make MCP Client app, verified and maintained by Make, works in reverse: scenarios connect out to external MCP servers to trigger their tools and receive real-time outputs. Make AI Toolkit provides built-in AI tools for streamlining workflows. AI Content Extractor pulls structured text and metadata from files directly within scenarios. AI Web Search brings live web data into automations with built-in search and structured outputs. Over 350 AI apps are available in the Make ecosystem for embedding intelligence at any step of a workflow. Integration depth is genuinely broad. The 3,000+ app library covers CRMs (Salesforce, HubSpot, Pipedrive), communication (Slack, Gmail, Outlook, Twilio), and databases (Airtable, Google Sheets, MySQL, PostgreSQL, Databricks). Cloud storage integrations include Google Drive, Dropbox, and Box. Ecommerce connects through Shopify, WooCommerce, and Stripe. Project management tools include Asana, ClickUp, Jira, and Notion. Developer tools cover GitHub, GitLab, Webhooks, and HTTP modules for any REST API. AI apps include OpenAI, Anthropic Claude (including the latest Sonnet 5 and Fable 5 models), Perplexity AI, and DeepSeek AI. Custom Apps let teams create their own integrations and share them within their organization. Enterprise plans add access to enterprise app integrations and an on-premise agent for connecting to local networks and systems like SAP without exposing them to the internet. Access to 300+ Make API endpoints enables high-scale automation programmatically, with rate limits scaling from 60 per minute on Core to 1,000 on Enterprise. Workflow execution features are comprehensive. Parallel scenario execution processes multiple items simultaneously. Priority scenario execution on Pro and above minimizes queue times during peak usage. Scenario Inputs run complex scenarios by filling in required parameters. Scenario Outputs return structured data in real time. Dynamic connections select connections at runtime rather than design time. Subscenarios chain workflows together, and relation trees visualize linked scenario dependencies. Make Grid provides a holistic view of the automation landscape with insights across all scenarios. Real-time execution monitoring enables visual troubleshooting of workflow executions as they run. Pricing charges per credit where each module action counts as one credit. Free plan: 1,000 credits per month, 2 active scenarios maximum, 15-minute minimum run interval, 5 MB max file size, 512 MB data transfer. Core: $9 per month (10,000 credits per month at base), unlimited active scenarios, 1-minute run intervals, API access, 30-day execution log, 100 MB max file size, 5 GB data transfer. Pro: $16 per month, adds custom variables, full-text execution log search, priority scenario execution, 250 MB max file size. Teams: $29 per month, adds team roles, template sharing, analytics dashboard, audit logs, 500 MB max file size. Enterprise: custom pricing, adds custom functions, enterprise app integrations, on-premise agent, 24/7 support, overage protection, advanced security including SSO and domain claim, 1 GB max file size. The prices above are the annual rates. Month-to-month costs more: Core is $10.59, Pro $18.82, and Teams $34.12. Annual billing saves 15% or more, and annual credits pool across 12 months rather than expiring monthly. Credits scale linearly: 10,000 to 8,000,000+ per month available at higher credit tiers with price per scenario dropping significantly at volume. Make is not the right fit for non-technical users who need simple trigger-action automation without investment in learning visual workflow logic. Zapier (from $19.99/mo billed annually) covers 8,000+ apps with a simpler interface and significantly more native integrations. It serves teams where ease of use and breadth of app coverage matter more than advanced logic or cost per operation at volume. n8n (open-source, self-hostable) serves developer teams that need full control over data residency and custom integration code without per-execution pricing. Workato and Tray.io serve enterprise teams needing governance, versioning, and deployment pipelines beyond what Make's Teams plan provides. Current state Q3 2026: Make confirmed SOC 2 Type II, ISO 27001, and GDPR compliance from the official security page at make.com/en/security. Infrastructure hosted on AWS in EU and North America regions. The Make MCP Server is live across all paid plans, and the MCP Client app now lets Make connect out to external MCP servers. Make AI Agents, AI Web Search, AI Content Extractor, AI Toolkit, and the Library of Agents are active in the platform. Make Grid provides organization-wide automation observability. Recent platform additions include Databricks support and access to Anthropic's newest Claude models, Sonnet 5 and Fable 5, through Make's AI Provider. Make Waves '26 conference announced for Prague, October 19 to 20. G2 reviewers rate Make 4.6 out of 5 across 332 reviews in the Data Integration category.

Pricing

freemium · $9/mo annual

View pricing ↗

Segment

smb

Setup

moderate

Verified

Jul 13, 2026

Transparency

Mostly Public

Contract

Monthly or Annual

Data training

Not Disclosed

Autonomy

Human Optional

Capabilities

no-codeworkflow-builderdata-analysiscrm-syncreporting

Pros & Limitations

Editorial assessment

Pros

  • Visual scenario builder handles complex branching, iteration, parallel execution, and data transformation that Zapier's linear editor cannot match. Scenario Inputs and Outputs enable structured data passing between chained workflows.
  • Credit-based pricing is significantly more cost-effective than Zapier at high volume. Annual credits pool across 12 months rather than expiring monthly, and file size limits scale from 5 MB (Free) to 1 GB (Enterprise).
  • Connects 3,000+ apps with detailed control over data mapping and error handling at each step. Native MCP server and client app, Make AI Agents, Library of Agents, AI Content Extractor, and AI Web Search embed intelligence at any automation step.

Limitations

  • Steeper learning curve than Zapier: building first scenarios takes meaningful time investment for non-technical users unfamiliar with visual workflow logic, scenario inputs and outputs, and branching paths.
  • Smaller app library than Zapier at 3,000+ vs 8,000+: some niche tools lack native Make connectors and require custom HTTP module workarounds or the Custom Apps builder.
  • No self-hosting option: data passes through Make's AWS infrastructure in EU or North America, limiting use for strict compliance environments that require on-premise data processing outside the Enterprise on-prem agent.

Technical Details

Deployment
cloud
Model architectureMulti-model (Make AI Provider, OpenAI, Anthropic Claude, Perplexity AI, DeepSeek AI, BYOK)
Avg setup timeUnder 30 minutes for first scenario (sign up, connect 2 apps via visual builder); 1 to 4 weeks for complex multi-step automation rollout
Autonomous rateMake scenarios run autonomously on triggers and schedules once configured. Users design visual workflows including branching paths, loops, and error handlers. No per-execution human approval required after initial scenario setup.
Integrations
Google SheetsSlackHubSpotSalesforceGmailShopifyAirtableNotionStripeMailchimp
Security
SOC 2 Type IIISO 27001GDPR

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Rating

4.5/ 5

Editorial score

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Recognition

Rated 4.5 ★MCP Server VerifiedListed 2026
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