Summary
Pulls meeting recordings and transcripts from Granola's Personal API and exports them as Obsidian markdown files. You'll use this when you want your Granola meetings in the same format as Fathom exports, which means downstream analysis tools work with both. Three commands: list your meetings, show details with optional transcripts, and export to markdown with proper frontmatter. The catch is it only sees meetings after Granola finishes generating the AI summary, so nothing in progress. Requires a Business or Enterprise plan for API access, but once you've got that, it's just stdlib Python with your API key in a sops-encrypted env file.
Install to Claude Code
npx -y skills add glebis/claude-skills --skill granola --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.mdView on GitHub
Granola Meeting Importer
Query Granola via Personal API to list notes, view transcripts, and export to Obsidian vault in the same format as the Fathom skill.
Prerequisites
- Granola Business or Enterprise plan (Personal API required)
- API key in sops-encrypted
~/Brains/brain/.env.granolaasGRANOLA_API_KEY=grn_... - No additional dependencies (uses stdlib only)
Usage
python3 ~/.claude/skills/granola/scripts/granola.py <command> [options]
Commands
| Command | Description |
|---|---|
list | List notes from Personal API |
show <note_id> | Show note details (summary, attendees, optionally transcript) |
export <note_id> | Export note to Obsidian markdown (Fathom-compatible format) |
Options
| Option | Applies to | Description |
|---|---|---|
--format text|json | list, show | Output format (default: text) |
--after <ISO date> | list | Filter notes created after date |
--all | list | Paginate through all results |
--transcript | show | Include transcript in output |
--vault <path> | export | Obsidian vault path (default: ~/Brains/brain) |
--output <path> | export | Custom output file path |
Examples
List recent meetings
python3 ~/.claude/skills/granola/scripts/granola.py list
python3 ~/.claude/skills/granola/scripts/granola.py list --format json
python3 ~/.claude/skills/granola/scripts/granola.py list --after 2026-05-01
Show note with transcript
python3 ~/.claude/skills/granola/scripts/granola.py show not_5FkswTp4Omkpm5
python3 ~/.claude/skills/granola/scripts/granola.py show not_5FkswTp4Omkpm5 --transcript --format json
Export to Obsidian
python3 ~/.claude/skills/granola/scripts/granola.py export not_5FkswTp4Omkpm5
python3 ~/.claude/skills/granola/scripts/granola.py export not_5FkswTp4Omkpm5 --vault ~/Brains/brain
Output Format
Exported notes match Fathom skill format for consistency:
---
granola_id: not_xxxx
title: "Meeting Title"
date: YYYY-MM-DD
participants: ['Name 1', 'Name 2']
duration: HH:MM
source: granola
---
# Meeting Title
## Summary
{AI-generated summary}
## Transcript
**Speaker Name**: What they said...
Files saved as: YYYYMMDD-meeting-title-slug.md
API Details
- Base URL:
https://public-api.granola.ai/v1 - Auth: Bearer token (Personal API key, never expires)
- Rate limits: 25 req burst / 5 req/sec sustained
- Important: API only returns notes with generated summaries — in-progress meetings won't appear
Known Limitations
- No live/in-progress access — notes appear only after Granola generates the AI summary
- No per-utterance speaker names — Granola provides
source(microphone vs speaker) and optionaldiarization_label. Export assigns meeting owner to microphone utterances - Note IDs required — use
listfirst to getnot_xxxxIDs, thenshow/export
Integration
- transcript-analyzer: After export, run transcript-analyzer on the output file for deeper analysis
- Fathom skill: Granola exports use the same frontmatter and transcript format as Fathom exports, so downstream tools work with both
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →First SeenJun 3, 2026
