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Access Granola AI meeting notes - CSV import, shared note fetching, and MCP-ready for upcoming API support.
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Based on SOC occupation classification
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
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| name | granola |
| description | Access Granola AI meeting notes - CSV import, shared note fetching, and MCP-ready for upcoming API support. |
| homepage | https://granola.ai |
| metadata | {"clawdbot":{"emoji":"🥣","requires":{}}} |
Access your Granola meeting notes. Granola is the AI notepad for people in back-to-back meetings.
Granola allows exporting historical notes as CSV. This skill can parse and search those exports.
# Parse a Granola CSV export
python3 {baseDir}/scripts/csv_import.py --file ~/Downloads/granola_export.csv
# Search parsed notes
python3 {baseDir}/scripts/csv_import.py --file ~/Downloads/granola_export.csv --search "quarterly review"
When you share a Granola note, it gets a public URL. This skill can fetch and parse shared notes.
# Fetch a shared note
python3 {baseDir}/scripts/fetch_shared.py --url "https://share.granola.ai/..."
Granola is building official MCP (Model Context Protocol) support for AI agent access. When available:
{
"mcpServers": {
"granola": {
"command": "granola-mcp",
"args": ["--api-key", "YOUR_KEY"]
}
}
}
Note: CSV export only includes notes older than 30 days and doesn't include full transcripts.
Import and search meeting notes:
"Search my Granola notes for anything about the product roadmap"
"What did we discuss in last month's board meeting?"
"Find action items from my 1:1s"
When MCP is available:
"What meetings did I have this week?"
"Summarize my meeting with John yesterday"
"What are my action items from today?"