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granola

by clawdbot

All versions of all skills that are on clawdhub.com archived

7🍴 6📅 Jan 24, 2026

SKILL.md


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":{}}}

Granola

Access your Granola meeting notes. Granola is the AI notepad for people in back-to-back meetings.

Current Capabilities

1. CSV Export Import

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"

2. Shared Note Fetching

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/..."

3. MCP Integration (Coming Soon)

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"]
    }
  }
}

How to Export from Granola

  1. Open Granola app
  2. Go to Settings → Profile
  3. Click Generate CSV
  4. CSV will be emailed to you (takes a few hours)

Note: CSV export only includes notes older than 30 days and doesn't include full transcripts.

Usage Examples

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?"

Roadmap

  • CSV export parsing
  • Shared note fetching
  • MCP integration (waiting for Granola to ship)
  • Full API access (when available)

Score

Total Score

65/100

Based on repository quality metrics

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Reviews

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Reviews coming soon