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Rank #4 of 5 in Meeting AI & Notetakers

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Granola, Inc. · commercial

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Granola homepage screenshot
homepage · captured Sep 2026 · view live ↗
Granola docs screenshot
docs · captured Sep 2026 · view live ↗

Try itExperimental

See what an agent can do with Granola before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; 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 -si -X POST https://mcp.granola.ai/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'recorded session — replayed, not live
recorded 2026-09-05 · exit 0 · captured verbatim by our probe harness, secrets redacted

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

Agent access — MCP, CLI, and API access for agentsAgent accessevidence →

MCP, CLI, and API access for agents

57.0/100

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

How well agents can access and operate the product

36.0/100

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

How much of the product can run unattended

17.1/100

Calendar workflow — stories about calendar workflow in this arenaCalendar workflowevidence →

Stories about calendar workflow in this arena

6.0/100

Capture recording — stories about capture recording in this arenaCapture recordingevidence →

Stories about capture recording in this arena

71.7/100

Integrations crm — stories about integrations crm in this arenaIntegrations crmevidence →

Stories about integrations crm in this arena

53.6/100

Meeting memory search — stories about meeting memory search in this arenaMeeting memory searchevidence →

Stories about meeting memory search in this arena

76.0/100

Notes summaries — stories about notes summaries in this arenaNotes summariesevidence →

Stories about notes summaries in this arena

50.0/100

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

Open source, data portability, and self-hosting stories

13.8/100

Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plansevidence →

Plan structure and value — what each tier costs and what it unlocks

0.0/100

Privacy consent — stories about privacy consent in this arenaPrivacy consentevidence →

Stories about privacy consent in this arena

30.9/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

40.0/100

Sharing collaboration — stories about sharing collaboration in this arenaSharing collaborationevidence →

Stories about sharing collaboration in this arena

20.0/100

Transcription accuracy — stories about transcription accuracy in this arenaTranscription accuracyevidence →

Stories about transcription accuracy in this arena

21.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 0 free · 2 paid · 1 enterprise · 33 not stated in evidence

?

Sorted by importance (agentic first) (high → low) · 54/54 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

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 productAgenticness3full7/10C

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3fullenterprise7/10T

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 productAgenticness2full9/10T

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 productAgenticness2full8/10C

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10C

Build against official SDKs G

Agent access

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

Set up automations that run autonomously in the background G

Agentic features

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

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial3/10T

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

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

Agent access

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

Subscribe to events via webhooks G

Agent access

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 productAgenticness1n/auntestednone yet

An official MCP server lets Claude or any MCP client query my meetings — search, transcripts, action items — with OAuth, no glue code C

Agent ops

ai-native userAgent access — MCP, CLI, and API access for agentsAgent access3full9/10T

Capture and transcribe meetings without a visible bot joining the call — audio is captured from my device so external participants see nothing extra C

Capture

founderCapture recording — stories about capture recording in this arenaCapture recording3full9/10X

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3full8/10C

Search across every past meeting — transcripts, summaries, and notes — and jump to the exact moment something was said C

Memory

product managerMeeting memory search — stories about meeting memory search in this arenaMeeting memory search3full8/10T

I get a structured summary right after each meeting — key points, decisions, and next steps — good enough to share without editing C

Summaries

product managerNotes summaries — stories about notes summaries in this arenaNotes summaries3full7/10C

My scripts can pull transcripts, summaries, and action items from every meeting through a documented API with self-serve keys C

Agent ops

ai-native userAgent access — MCP, CLI, and API access for agentsAgent access3partialpaid7/10T

Meeting notes and summaries sync automatically onto the right contact and deal records in my CRM (HubSpot, Salesforce, Attio) C

Integrations

sales leadIntegrations crm — stories about integrations crm in this arenaIntegrations crm3partial6/10C

The product ships real consent features — participant notifications, in-meeting disclosure, or admin-enforced transparency — not just a policy PDF C

Privacy

it adminPrivacy consent — stories about privacy consent in this arenaPrivacy consent3partial6/10C

The transcript attributes words to the right named speakers (diarization plus real name matching), not just "Speaker 1/2" C

Transcription

product managerTranscription accuracy — stories about transcription accuracy in this arenaTranscription accuracy3partial6/10C

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3partial5/10X

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3partial4/10C

Action items with owners are automatically extracted from the conversation and collected somewhere I can track them C

Summaries

product managerNotes summaries — stories about notes summaries in this arenaNotes summaries3none0/10

I connect Google or Outlook calendar once and control per-meeting-type rules for which meetings get captured automatically C

Calendar

product managerCalendar workflow — stories about calendar workflow in this arenaCalendar workflow3none0/10

The vendor documents how transcription actually works and its quality (models, accuracy claims, known limits) rather than just saying "AI-powered" C

Transcription

product managerTranscription accuracy — stories about transcription accuracy in this arenaTranscription accuracy3none0/10

Self-host the core product G

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

Notes flow into the tools where work happens — Slack channels, Notion pages, and thousands of apps via Zapier C

Integrations

product managerIntegrations crm — stories about integrations crm in this arenaIntegrations crm2full8/10C

Shape the notes with custom templates or saved prompts per meeting type (discovery call, 1:1, standup) instead of one generic format C

Summaries

sales leadNotes summaries — stories about notes summaries in this arenaNotes summaries2full8/10C

The notetaker reliably captures Zoom, Google Meet, and Microsoft Teams meetings, with recording where I want it C

Capture

product managerCapture recording — stories about capture recording in this arenaCapture recording2full8/10X

Ask questions in natural language across my whole meeting history ("what did we decide about pricing?") and get answers with sources G

Memory

product managerMeeting memory search — stories about meeting memory search in this arenaMeeting memory search2full7/10T

Record and transcribe in-person conversations from a mobile app, and those notes land in the same searchable workspace C

Capture

founderCapture recording — stories about capture recording in this arenaCapture recording2partial6/10C

An agent can automatically file each meeting's action items into my project tracker (Linear, Jira, Asana) using the product's API, webhooks, or native automations C

Agent ops

ai-native userAgent access — MCP, CLI, and API access for agentsAgent access2partial5/10T

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2partial5/10C

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2partial5/10C

Run meetings in languages other than English — transcription and summaries support many languages and handle language switching C

Transcription

founderTranscription accuracy — stories about transcription accuracy in this arenaTranscription accuracy2partial5/10C

Set retention policies — auto-delete transcripts and recordings on a schedule — and permanently erase data on demand C

Privacy

it adminPrivacy consent — stories about privacy consent in this arenaPrivacy consent2partial5/10C

Sharing is controlled — private-by-default notes, granular link/folder/workspace permissions, and admin visibility into what's shared C

Sharing

it adminSharing collaboration — stories about sharing collaboration in this arenaSharing collaboration2partialpaid5/10C

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

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial4/10T

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial4/10T

The vendor documents whether meeting data trains AI models and gives my org an enforceable opt-out, alongside SOC 2 / HIPAA posture C

Privacy

it adminPrivacy consent — stories about privacy consent in this arenaPrivacy consent2partial4/10C

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

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

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2none0/10

Start free and see exactly what each paid tier costs and adds — no "talk to sales" wall for basic use G

Pricing

founderPricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans2none0/10

Read the product's source under an open license G

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

The tool drafts my follow-up email from the meeting so I can review and send it in a couple of clicks C

Summaries

sales leadNotes summaries — stories about notes summaries in this arenaNotes summaries1full8/10C

I walk into each meeting prepped — the tool surfaces past meetings with the same people and a brief of open threads before the call C

Calendar

founderCalendar workflow — stories about calendar workflow in this arenaCalendar workflow1partial4/10C

Cut a soundbite or highlight clip from a call and share that moment instead of the whole recording C

Sharing

sales leadSharing collaboration — stories about sharing collaboration in this arenaSharing collaboration1none0/10

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1n/auntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 36 stories with headroom

What would move Granola’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 Granola exposing its own MCP server (and API) so other AI tools can pull Granola's meeting data — the reverse of the story, which asks whether Granola itself can consume external MCP servers as a client to gain new tools.

  2. Notes summaries — stories about notes summaries in this arenaAction items with owners are automatically extracted from the conversation and collected somewhere I can track them

    nonemoves PA Scoreimpact 30

    Granola's docs describe general AI summaries, chat Q&A, and workflow actions (draft follow-up emails, Slack messages, calendar events) but never mention structured action-item extraction with assigned owners or a dedicated tracking view/list.

  3. Calendar workflow — stories about calendar workflow in this arenaI connect Google or Outlook calendar once and control per-meeting-type rules for which meetings get captured automatically

    nonemoves PA Scoreimpact 30

    Evidence shows Granola connects to a calendar to display upcoming meetings and offers templates per call type for note formatting, but there is no mention of per-meeting-type rules controlling which meetings get automatically captured/recorded — no filtering, auto-join rules, or selective-capture settings are documented.

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

    nonemoves PA Scoreimpact 30

    Granola is a closed SaaS/desktop app (with local .md-only community workaround noted, not official self-hosting); no evidence of an open-source core, self-hosted server option, or on-prem deployment mode is provided anywhere in the docs or community notes.

  5. Transcription accuracy — stories about transcription accuracy in this arenaThe vendor documents how transcription actually works and its quality (models, accuracy claims, known limits) rather than just saying "AI-powered"

    nonemoves PA Scoreimpact 30

    The evidence pack documents feature-level transcription capabilities (multi-language support, speaker tags, auto-deletion, export) but contains no documentation of the underlying transcription model, accuracy benchmarks, or explicit known limitations (e.g., accent/noise handling, word-error-rate).

  6. Agenticness — how well agents can access and operate the productUse an official CLI

    nonemoves agent-readyimpact 30

    Evidence covers an API, MCP server, and integrations (Zapier, HubSpot), but there is no mention of an official CLI tool for AI-native workflows anywhere in the docs, community, or probes.

  7. Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent

    nonemoves agent-readyimpact 30

    Granola documents API keys (personal and workspace-level) and an OAuth-based MCP server, but there is no evidence of scoped or least-privilege credential issuance — e.g., no read-only vs write scopes, no per-agent permission granularity, and workspace keys are described as broad and non-expiring rather than restrictable.

  8. Agenticness — how well agents can access and operate the productSubscribe to events via webhooks

    nonemoves agent-readyimpact 30

    Missing: documented webhook endpoints, event types, subscription/registration mechanism, payload schema.

Showing the top 8 of 36 — 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 map6 surfaces · 36 covered stories

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

Help center docs35 stories

Probe proofs — replayable recordings from the probe harnessProbe proofs

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

$curl -si -X POST https://mcp.granola.ai/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'reproduced
$ curl -si -X POST https://mcp.granola.ai/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'
HTTP/2 401

content-type: application/json

server: CloudFront

date: Sat, 05 Sep 2026 04:34:22 GMT

access-control-allow-origin: *

access-control-allow-headers: Content-Type, Authorization, Accept, x-user-id, x-mcp-[redacted], X-Requested-With, MCP-Protocol-Version, MCP-Session-Id, Last-Event-ID

access-control-allow-methods: GET, POST, OPTIONS

access-control-expose-headers: MCP-Session-Id

x-amzn-trace-id: Root=1-6a9b9bce-3b953f6c4279664a497f0656;Parent=062a87b2944c7822;Sampled=0;Lineage=1:98db7090:0

www-authenticate: Bearer error="invalid_[redacted]", error_description="Authorization needed", resource_metadata="https://mcp.granola.ai/.well-known/oauth-protected-resource"

x-amzn-requestid: fdbbdb2d-01b3-4a3e-a137-3e49c3eb239e

x-cache: Error from cloudfront

via: 1.1 912d83c7c9b4676eb19f09c9bfabda24.cloudfront.net (CloudFront)

x-amz-cf-pop: SFO5-P2

x-amz-cf-id: 77Zvu6a9A3whXDbGm3vCl0bvy1X4OY9FgVC-Z5fi3M_AyM23gRzHpA==

{"message":"Unauthorized"}

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

8 of 23 testable claims verified · 2 contradictedintegrity 17/100

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

8

Verified

13

Unverified

2

Contradicted

15

Undersold

Verified (8)
Unverified (15)
Contradicted (2)
Undersold (15)

Business model

free-tiersubscription-per-seatenterprise-custom

Free Basic plan with limited history; Business is $14/user/month with unlimited notes, integrations, API and MCP access; Enterprise ($35/user/month) adds SSO, admin controls, and training opt-out.

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 Scoretracked since Sep 5 '26 — no movement recorded yet
Agent-readytracked since Sep 5 '26 — no movement recorded yet

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

⚿ auth1 auth-gated probe

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