Utilizes OpenAI's embedding and language models to enable semantic search, extract categorized themes, and summarize key insights from meeting transcripts.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@granola-mcpFind all user pain points and feature requests from my recent meetings"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
granola-mcp
MCP server for semantic search across Granola meeting notes. Extracts insights, themes (pain-points, feature-requests, decisions, etc.), and key quotes with speaker attribution. Uses LanceDB for fast local vector search.
Based on reverse engineering research by Joseph Thacker and getprobo.
Features
Export: Extract all your Granola meetings with transcripts
Semantic Search: Vector-indexed search across meetings with pre-extracted insights
Speaker Attribution: Distinguishes between host (
me) and participantsTheme Extraction: Auto-categorizes content into themes (pain-points, feature-requests, etc.)
MCP Server: Exposes search to Claude Code, Claude Desktop, and other AI tools
Prerequisites
Node.js 18+
Granola desktop app installed and logged in
OpenAI API key (for embeddings and insight extraction)
Installation
npm install
npm run buildQuick Start
# One command to sync everything (export + index)
OPENAI_API_KEY=sk-... node dist/index.js sync
# Or with a custom data directory
OPENAI_API_KEY=sk-... node dist/index.js sync ./my-data
# Test search
OPENAI_API_KEY=sk-... node dist/index.js search "user pain points"CLI Commands
Sync (Recommended)
The easiest way to keep your data up to date - exports from Granola and rebuilds the index in one step:
OPENAI_API_KEY=sk-... node dist/index.js sync
# With options
OPENAI_API_KEY=sk-... node dist/index.js sync ./my-data
OPENAI_API_KEY=sk-... node dist/index.js sync --skip-extraction # Faster, reuses existing insightsExport from Granola
Export only (without indexing):
node dist/index.js export ./output
node dist/index.js export ./output --format markdown
node dist/index.js export ./output --format jsonBuild Search Index
# Full indexing with insight extraction (~$0.02/document)
OPENAI_API_KEY=sk-... node dist/index.js index ./export
# Skip extraction (use existing insights, just rebuild embeddings)
OPENAI_API_KEY=sk-... node dist/index.js index ./export --skip-extractionSearch from CLI
OPENAI_API_KEY=sk-... node dist/index.js search "pricing concerns"
OPENAI_API_KEY=sk-... node dist/index.js search "feature requests" --folder "User interviews"Export for ChatGPT
OPENAI_API_KEY=sk-... node dist/index.js export-combined ./chatgpt.md
OPENAI_API_KEY=sk-... node dist/index.js export-combined ./chatgpt.md --query "user feedback"Other Commands
node dist/index.js list # List documents
node dist/index.js workspaces # List workspaces
node dist/index.js folders # List folders
node dist/index.js transcript <id> # Get specific transcriptMCP Server Setup
Claude Code
Add to .mcp.json in your project:
{
"mcpServers": {
"granola": {
"type": "stdio",
"command": "node",
"args": ["/path/to/granola-mcp/dist/mcp/server.js"],
"env": {
"GRANOLA_DATA_DIR": "/path/to/granola-mcp/export",
"OPENAI_API_KEY": "sk-..."
}
}
}
}Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"granola": {
"command": "node",
"args": ["/path/to/granola-mcp/dist/mcp/server.js"],
"env": {
"GRANOLA_DATA_DIR": "/path/to/granola-mcp/export",
"OPENAI_API_KEY": "sk-..."
}
}
}
}MCP Tools
Tool | Description |
| Semantic search across meetings, returns summaries + quotes |
| Find documents by theme (pain-points, feature-requests, etc.) |
| List all folders with document counts |
| List documents with brief summaries |
| Get full document details (all themes + quotes) |
| Get raw transcript (use sparingly) |
| List available themes with definitions |
Speaker Attribution
The system distinguishes between speakers:
speaker: "me"- The meeting host (you)speaker: "participant"- Other people in the meeting
This helps AI understand what's your own idea vs external feedback.
Pre-defined Themes
pain-points: User frustrations, problems, complaints
feature-requests: Desired features, wishlist items
positive-feedback: What users liked, praised
pricing: Cost concerns, value perception
competition: Competitor mentions, alternatives
workflow: How users currently do things
decisions: Key decisions made, action items
questions: Open questions needing clarification
Output Structure
export/
├── vectors.lance/ # LanceDB vector index
├── Meeting_Title_1/
│ ├── document.json # Raw document data
│ ├── notes.md # Converted notes
│ ├── transcript.json # Raw transcript with speaker info
│ ├── transcript.md # Formatted transcript
│ └── transcript.txt # Plain text transcript
└── Meeting_Title_2/
└── ...Keeping Data Updated
The system doesn't auto-sync with Granola. Run sync manually after new meetings, or set up a cron job:
Manual Update
OPENAI_API_KEY=sk-... node dist/index.js syncAutomated Updates (Cron)
Add to your crontab (crontab -e):
# Sync every night at 2am
0 2 * * * cd /path/to/granola-mcp && OPENAI_API_KEY=sk-... /usr/local/bin/node dist/index.js sync >> /tmp/granola-sync.log 2>&1
# Or every 6 hours
0 */6 * * * cd /path/to/granola-mcp && OPENAI_API_KEY=sk-... /usr/local/bin/node dist/index.js sync >> /tmp/granola-sync.log 2>&1macOS LaunchAgent
Create ~/Library/LaunchAgents/com.granola-mcp.sync.plist:
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>Label</key>
<string>com.granola-mcp.sync</string>
<key>ProgramArguments</key>
<array>
<string>/usr/local/bin/node</string>
<string>/path/to/granola-mcp/dist/index.js</string>
<string>sync</string>
</array>
<key>EnvironmentVariables</key>
<dict>
<key>OPENAI_API_KEY</key>
<string>sk-...</string>
</dict>
<key>StartCalendarInterval</key>
<dict>
<key>Hour</key>
<integer>2</integer>
<key>Minute</key>
<integer>0</integer>
</dict>
<key>StandardOutPath</key>
<string>/tmp/granola-sync.log</string>
<key>StandardErrorPath</key>
<string>/tmp/granola-sync.log</string>
</dict>
</plist>Load it with: launchctl load ~/Library/LaunchAgents/com.granola-mcp.sync.plist
How It Works
Export: Reads credentials from
~/Library/Application Support/Granola/supabase.jsonand fetches all documents via Granola's APIIndex:
Extracts themes and key quotes using GPT-4o-mini
Generates embeddings using text-embedding-3-small
Stores in LanceDB for fast vector search
Search:
Embeds your query
Finds semantically similar documents
Returns summaries + relevant quotes (not raw transcripts)
Cost Estimates
Documents | Insight Extraction | Embeddings | Total |
25 | ~$0.50 | ~$0.01 | ~$0.51 |
100 | ~$2.00 | ~$0.02 | ~$2.02 |
500 | ~$10.00 | ~$0.10 | ~$10.10 |
Search queries are free (vector similarity, no LLM calls).
License
MIT