About
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.
plugin.json
{
"apps": "./.app.json",
"name": "granola",
"author": {
"url": "https://www.granola.ai",
"name": "Granola"
},
"license": "MIT",
"version": "1.0.1",
"homepage": "https://www.granola.ai",
"keywords": [],
"interface": {
"logo": "./assets/app-icon.png",
"category": "Productivity",
"websiteURL": "https://www.granola.ai",
"displayName": "Granola",
"screenshots": [],
"capabilities": [],
"composerIcon": "./assets/app-icon.png",
"defaultPrompt": [
"Summarize what happened in the Hearthbase deal so far"
],
"developerName": "Granola",
"longDescription": "Granola MCP connects your meeting history to Codex so your assistant can pull real context from past conversations while you work.\n\nUse MCP when you're already working on something bigger:\n\n- Writing PRDs or proposals: Pull customer feedback, stakeholder input, and decisions from relevant meetings directly into your draft\n \n- Building presentations or reports: Combine insights from multiple conversations with your other research and data\n \n- Coding with context: Give your AI the project background, requirements, and technical decisions discussed in planning meetings\n \n- Strategic analysis: Merge meeting insights with documents, data, and other sources for comprehensive analysis\n \nHow it works:\n\nYour 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.\"\n\nThe difference:\n\nInstead 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.",
"privacyPolicyURL": "https://help.granola.ai/article/privacy-policy",
"shortDescription": "Granola MCP connects your meeting history to Codex so your assistant can pull real context from past conv...",
"termsOfServiceURL": "https://help.granola.ai/article/platform-terms-of-service"
},
"repository": "https://github.com/openai/plugins",
"description": "Granola MCP connects your meeting history to Codex so your assistant can pull real context from past conv..."
}