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Granola

Granola MCP connects your meeting history to Codex 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.

View in the ChatGPT registry
Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Productivity

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is visible.

Brand
Granola
Access
Account required
First tracked
2026-05-26
Tool count
0
Geography
US

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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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Granola has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Score explained

How 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.

InvisibleBuriedEmergingCompetitiveWinning

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.

Read the full scoring methodologyRecommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.
Tools

0 tools agents can invoke

No tools are exposed by this ChatGPT Plugin in the latest snapshot.

Granola FAQ
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.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.