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Granola

Granola MCP connects your meeting history to Codex so your assistant can pull real context from past conv...

Category
Productivity
Primary Subcategory
Pending
View in the ChatGPT registry
Integration details

Description

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.

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 listed.

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

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Primary Subcategory

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Tools

0 tools agents can invoke

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

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Where is this profile measured?

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