Granola
Granola MCP connects your meeting history to ChatGPT so your assistant can pull real context from past conversations while you work. Use MCP when you're already working on something bigger: - Writing PRDs or proposals: Pull customer feedback, stakeholder input, and decisions from relevant meetings directly into your draft - Building presentations or reports: Combine insights from multiple conversations with your other research and data - Coding with context: Give your AI the project background, requirements, and technical decisions discussed in planning meetings - Strategic analysis: Merge meeting insights with documents, data, and other sources for comprehensive analysis How it works: Your AI assistant can search your Granola meetings by topic, person, company, or timeframe - then cite specific conversations in its responses. No more switching tabs to find "what the customer said" or "when we decided that." The difference: Instead of copy-pasting meeting notes into prompts, your AI pulls exactly what it needs from your meeting history automatically. You stay focused on the work, not the research or context.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Meeting Notes & Call Intelligence
- Secondary Subcategories
- Meeting Notes & Call Intelligence
- Brand
- Granola
- Access
- Account required
- First tracked
- 2026-01-30
- Tool count
- 6
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is visible.
ChatGPT Plugin Discoverability Score
ChatGPT organic discovery is not live yet
Granola is tracked in the ChatGPT Plugin registry. Public organic-discovery measurement is not live for ChatGPT yet, so there is no score to publish today.
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Competing in ChatGPT Meeting Notes & Call Intelligence
View CategoryHow the Discoverability Score works
Organic discovery scoring for Granola on ChatGPT is not live yet. The score will use measured agent conversations when it launches.
Organic discovery scoring is pending. Your Plugin score will appear on this scale when measurement goes live.
FoundDiagnostic
Whether Claude found your Plugin in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.
PickedMain score
How often your Plugin appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.
PositionedDiagnostic
What position your Plugin appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.
6 tools agents can invoke
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Granola alternatives on ChatGPT?
As of 2026-08-14, Granola competes with 100Hires ATS, 1to1 Mate, Abacor, Airepoto, Açık Silivri Havadis, Birdie, BuildBetter.ai, CapMind, Circleback, CraftNote, fairw.ai, Fathom, Fireflies, Grain, Hardline, Intevie, Krisp, Life Analytics IAS, Life Analytics Mail, LingoStar, MeetGeek, Meeting Mate, Meeting Summarizer, Memova.ai, NP Ledger, Otter.ai, Owll, Plaud, Pocket AI, Read AI, Sally AI, SCOUT for Federal Contracting, Sider Recorder & Transcriber, SpeakApp, Spinach AI, Sponja, tldv, Voicenotes, Wispr Flow, Wistia, Wolfee, XMemo, Zocks, Zoom in ChatGPT Meeting Notes & Call Intelligence, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.