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Rank #5 of 6 in Workflow Automation

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Make (Celonis) · commercial

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docs · captured Sep 2026 · view live ↗

Try itExperimental

See what an agent can do with Make before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; commands tagged live-capable can re-run against the real endpoint from our edge, right now (▶ run live — the exact same request, live and recorded lines always labeled); the live MCP handshake runs real requests from our edge, right now — including, where the server allows it, one real read-only tool call (bring your own key for auth-gated servers); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -s https://mcp.make.com/.well-known/oauth-protected-resourcerecorded session — replayed, not live
recorded 2026-09-05 · exit 0 · captured verbatim by our probe harness, secrets redacted · pure-HTTP probe — ▶ run live re-runs it from our edge

Verified integrations

Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.

By theme — the product's score on each story themeBy theme

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

30.5/100

Ai workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflowsevidence →

AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inference

45.0/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

55.0/100

Code extensibility — stories about code extensibility in this arenaCode extensibilityevidence →

Stories about code extensibility in this arena

30.3/100

Collaboration governance — stories about collaboration governance in this arenaCollaboration governanceevidence →

Stories about collaboration governance in this arena

0.0/100

Connectors ecosystem — stories about connectors ecosystem in this arenaConnectors ecosystemevidence →

Stories about connectors ecosystem in this arena

4.0/100

Deployment embedding — stories about deployment embedding in this arenaDeployment embeddingevidence →

Stories about deployment embedding in this arena

0.0/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

7.2/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

0.0/100

Reliability errors — stories about reliability errors in this arenaReliability errorsevidence →

Stories about reliability errors in this arena

18.6/100

Triggers scheduling — stories about triggers scheduling in this arenaTriggers schedulingevidence →

Stories about triggers scheduling in this arena

60.8/100

Visual builder — stories about visual builder in this arenaVisual builderevidence →

Stories about visual builder in this arena

13.3/100

Story verdicts — every judged story with its evidenceStory verdicts

?

Sorted by importance (agentic first) (high → low) · 56/56 stories · click a row’s chevron for the rationale and evidence

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3partial3/10C

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10C

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10C

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10C

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1noneuntestednone yet

Expose a custom webhook URL that receives external HTTP requests and starts a workflow run with the payload G

Triggers

developerTriggers scheduling — stories about triggers scheduling in this arenaTriggers scheduling3full8/10C

Expose my workflows or connected app actions as MCP tools that an external agent can call C

Agent integration

ai-native userAi workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflows3full8/10T

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3full7/10C

Trigger workflows from events in connected apps (new record, message, email, form submission) C

Triggers

ops userTriggers scheduling — stories about triggers scheduling in this arenaTriggers scheduling3full7/10C

Add AI agent or LLM steps inside a workflow, with model choice and tool use C

Ai steps

ai-native userAi workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflows3partial5/10C

Build multi-step workflows in a visual editor without writing code C

Builder

ops userVisual builder — stories about visual builder in this arenaVisual builder3partial4/10C

Configure automatic retries with backoff for failed steps or activities C

Error handling

developerReliability errors — stories about reliability errors in this arenaReliability errors3partial3/10C

Connect to thousands of apps through prebuilt, vendor-maintained integrations C

Connectors

ops userConnectors ecosystem — stories about connectors ecosystem in this arenaConnectors ecosystem3none0/10

Store connection credentials centrally, share them with my team, and control who can use which credential C

Credentials

ops userCollaboration governance — stories about collaboration governance in this arenaCollaboration governance3none0/10

Drop into real code (JavaScript or Python) as a step inside a workflow C

Code steps

developerCode extensibility — stories about code extensibility in this arenaCode extensibility3noneuntestednone yet

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3noneuntestednone yet

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3noneuntestednone yet

Build a custom connector or private integration with a documented developer platform, SDK, or CLI G

Connector dev

developerCode extensibility — stories about code extensibility in this arenaCode extensibility2full7/10T

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2full7/10C

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial6/10T

Map and transform data between steps with expressions, functions, or formulas C

Data mapping

ops userCode extensibility — stories about code extensibility in this arenaCode extensibility2partial6/10C

Define dedicated error-handling paths or error workflows and get notified when a run fails C

Error handling

ops userReliability errors — stories about reliability errors in this arenaReliability errors2partial5/10C

Generate or edit a workflow from a natural-language prompt C

Ai authoring

ai-native userAi workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflows2partial5/10C

Have an agent create, update, and activate a workflow programmatically through the public API C

Agent integration

ai-native userAi workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflows2partial5/10T

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial5/10C

Compose reusable sub-workflows or modules that other workflows call C

Composition

developerVisual builder — stories about visual builder in this arenaVisual builder2partial4/10C

Inspect past execution logs and re-run a failed execution, resuming from the failing step C

Observability

ops userReliability errors — stories about reliability errors in this arenaReliability errors2partial4/10C

Run workflows on cron-style schedules with timezone control C

Schedules

ops userTriggers scheduling — stories about triggers scheduling in this arenaTriggers scheduling2partial3/10C

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Run long-lived workflows that wait for days and survive worker or platform restarts without losing state C

Durability

developerReliability errors — stories about reliability errors in this arenaReliability errors2none0/10

Test a workflow with sample or pinned data and inspect each step's input and output before going live C

Testing

developerVisual builder — stories about visual builder in this arenaVisual builder2none0/10

Version workflows through source control or environments and promote changes from dev to production C

Versioning

developerCollaboration governance — stories about collaboration governance in this arenaCollaboration governance2none0/10

Branch a workflow with conditions, filters, and parallel paths that merge back together C

Builder

ops userVisual builder — stories about visual builder in this arenaVisual builder2noneuntestednone yet

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Pause a workflow to wait for human approval or input before it continues C

Human in the loop

ops userCollaboration governance — stories about collaboration governance in this arenaCollaboration governance2noneuntestednone yet

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2noneuntestednone yet

Run workflows locally or against a dev instance for development and CI testing C

Local dev

developerDeployment embedding — stories about deployment embedding in this arenaDeployment embedding2noneuntestednone yet

Start from a public library of workflow templates instead of building from scratch C

Templates

ops userConnectors ecosystem — stories about connectors ecosystem in this arenaConnectors ecosystem2noneuntestednone yet

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1partial5/10C

Install community-built nodes, components, or integrations contributed outside the vendor C

Community

developerConnectors ecosystem — stories about connectors ecosystem in this arenaConnectors ecosystem1partial4/10C

Throttle or queue workflow executions to respect downstream rate limits C

Durability

developerReliability errors — stories about reliability errors in this arenaReliability errors1partial4/10C

Embed the automation platform white-label inside my own product for my customers C

Embedding

developerDeployment embedding — stories about deployment embedding in this arenaDeployment embedding1noneuntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 46 stories with headroom

What would move Make’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools

    nonemoves agent-readyimpact 45

    All evidence describes Make exposing its own scenarios as an MCP server to external AI clients (Claude, ChatGPT), the reverse of this story's requirement that Make itself act as an MCP client consuming external MCP servers' tools.

  2. Agenticness — how well agents can access and operate the productDelegate tasks to a built-in AI assistant inside the product

    partialq3/10moves Built-in AIimpact 31.5

    Missing: detailed docs on the AI Agents app's task-delegation UX, concrete examples of use, and independent/hands-on corroboration of its capabilities.

  3. Collaboration governance — stories about collaboration governance in this arenaStore connection credentials centrally, share them with my team, and control who can use which credential

    nonemoves PA Scoreimpact 30

    The evidence pack only lists 'Connections' as an app component category in custom-app developer docs (make-docs-10); there is no evidence describing centralized credential storage, team sharing, or per-credential access control for ops users.

  4. Code extensibility — stories about code extensibility in this arenaDrop into real code (JavaScript or Python) as a step inside a workflow

    nonemoves PA Scoreimpact 30

    The evidence pack covers Make's API, webhooks, MCP server, error handling, and functions, but contains no mention of a custom code step, JavaScript/Python module, or code-execution capability inside a Make scenario.

  5. Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave

    nonemoves PA Scoreimpact 30

    Missing: documented data export/download feature, open format (e.g., JSON/CSV) export of scenarios and data stores, any GDPR-style account export or migration tooling.

  6. Openness — open source, data portability, and self-hosting storiesSelf-host the core product

    nonemoves PA Scoreimpact 30

    The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".

  7. Connectors ecosystem — stories about connectors ecosystem in this arenaConnect to thousands of apps through prebuilt, vendor-maintained integrations

    nonemoves PA Scoreimpact 30

    Missing: any documentation or listing of the app/connector marketplace, connector count, or vendor-maintenance claims.

  8. Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models

    nonemoves PA Scoreimpact 30

    The evidence pack contains no mention of AI training data opt-out, data usage policies for AI model training, or any privacy controls addressing this specific concern; all evidence covers API auth, MCP server, webhooks, and error handling instead.

Showing the top 8 of 46 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map10 surfaces · 30 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$curl -s https://mcp.make.com/.well-known/oauth-protected-resourcereproduced
$ curl -s https://mcp.make.com/.well-known/oauth-protected-resource
{"resource":"https://mcp.make.com/","authorization_servers":["https://www.make.com/mcp"],"bearer_methods_supported":["header"]}

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

6 of 14 testable claims verified · 0 contradictedintegrity 43/100

18 distinct capability claims found in Make’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

6

Verified

8

Unverified

0

Contradicted

16

Undersold

Verified (7)
Unverified (9)
Undersold (16)
Claims outside our story set (2)

Real capability claims found in Make’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.

  • Scenarios can be cloned

    source ↗
  • Dedicated troubleshooting section covers what can go wrong with the API and how to fix it

    source ↗
Suggest a story for these →

Business model

free-tiersubscription-flatusage-basedenterprise-custom

Free tier with limited operations; paid plans charge a monthly fee metered by operations volume, scaling up through Teams to custom-priced Enterprise.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Score28 (Sep 5 '26)27 (Sep 5 '26)
Agent-ready40 (Sep 5 '26)40 (Sep 5 '26)

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

Data

Agent surface uptime MCP 100% · llms.txt 100% (30d, checked every 6h since Sep 8 '26)