Fathom AI
Access fathom ai api endpoints via mcp server and llm.
Fathom AI MCP Server
Connect Claude to your Fathom meetings, transcripts, and AI summaries.
Get Started | Available Tools | API Docs | Self-Hosting | Contributing
Get Started
This server is published to the MCP Registry as io.github.agencyenterprise/fathom-mcp-server.
Connect in under 60 seconds:
https://www.fathom-mcp-server.com/mcp
- Open Claude Desktop
- Go to Settings > Connectors > Add Custom Connector
- Paste the URL above
- Authenticate with Fathom
That's it. Ask Claude about your meetings.
Organizations: Admins must add the connector via organization admin settings, not personal settings.
Available Tools
| Tool | Description | Docs |
|---|---|---|
list_meetings | List meetings with filters (date, team, recorder, etc.) | Fathom API |
search_meetings | Search meetings by title with optional filters | MCP Custom |
get_transcript | Get full transcript for a recording | Fathom API |
get_summary | Get AI-generated summary for a recording | Fathom API |
list_teams | List all accessible teams | Fathom API |
list_team_members | List members of a team | Fathom API |
Custom MCP Tools
search_meetings
Search Fathom meetings by title or meeting_title. This is an MCP-native tool that performs client-side filtering since Fathom's API doesn't provide a search endpoint. For users with many meetings, use list_meetings with date filters for better performance.
See the Fathom MCP Server documentation for full request and response parameters.
Example Usage in Claude
"Show me my meetings from last week"
"Get the transcript from my standup yesterday"
"Summarize my meeting with the design team"
Security
Your Fathom data is never stored or exposed by this server.
| Data | Stored? | Exposed? | Details |
|---|---|---|---|
| Meetings, transcripts, summaries | No | No | Fetched from Fathom and passed directly to Claude |
| Team and member info | No | No | Fetched from Fathom and passed directly to Claude |
| OAuth tokens | Yes | No | Encrypted at rest (AES-256-GCM), never logged or exposed |
- Pass-through architecture: This server acts as a secure proxy, your Fathom data flows directly from Fathom to Claude without being stored, cached, or logged
- Encryption at rest: The only stored data (OAuth tokens) is encrypted using AES-256-GCM before being written to the database
- HTTPS only: All communication between Claude, this server, and Fathom is encrypted in transit
See our full Privacy Policy for details on data collection, usage, and your rights.
Permissions
This MCP server defines a custom scope called fathom:read for tokens it issues to Claude. This is not a Fathom API scope - it's specific to this MCP server to describe read-only access to your Fathom data.
The Fathom API itself only provides read access via its public_api scope. Write operations (creating/editing meetings, transcripts, etc.) are not available in the Fathom API.
Limitations
search_meetingsperforms client-side filtering since Fathom's API doesn't provide a search endpoint. For users with many meetings, uselist_meetingswith date filters instead.- You can always ask the LLM what query params are avaialable.
Self-Hosting
Fathom OAuth apps require HTTPS redirect URIs, so local development with http://localhost isn't possible. Deploy to a hosting provider to test.
1. Deploy to a Hosting Provider
Railway (recommended), Render, or any platform that provides:
- Node.js 18+ runtime
- PostgreSQL database
- HTTPS URL
Railway setup:
- Fork/clone this repo
- Create a new Railway project (you can deploy directly from your forked Github repo)
- Add a PostgreSQL database service in project
- Connect Database url to deployed repo in project and setup other envs
2. Create a Fathom OAuth App
- Go to Fathom Developer Portal
- Click "Register your app" (requires Fathom admin access)
- Set the redirect URI to
https://your-app-url.railway.app/oauth/fathom/callback - Note your Client ID and Client Secret
3. Configure Environment Variables (locally and in Railway)
Set these in your hosting provider's dashboard (as well as your local .env file to test build and start commands locally before pushing changes)
| Variable | Description |
|---|---|
DATABASE_URL | PostgreSQL connection string (auto-set by Railway - use public db url) |
BASE_URL | Your app's public URL (e.g., https://your-app.railway.app) |
TOKEN_ENCRYPTION_KEY | 32-byte hex key (generate with openssl rand -hex 32) |
FATHOM_CLIENT_ID | From step 2 |
FATHOM_CLIENT_SECRET | From step 2 |
4. Initialize Database
Run migrations after first deploy:
npm run db:migrate
Or via Railway CLI:
railway run npm run db:migrate
5. Connect Claude
Add your deployed URL as a custom connector in Claude Desktop:
https://your-app.railway.app/mcp
Development
npm run dev # Start dev server with hot reload only for testing
npm run build # Build for production
npm run start # Run production build
npm run lint # Check for linting errors
npm run lint:fix # Fix linting errors
npm run typecheck # Run TypeScript type checking
npm run ci # Run all CI checks (lint, typecheck, build)
npm run format # Format code with Prettier
npm run db:studio # Open Drizzle Studio for database inspection
npm run db:generate # Generate migrations from schema changes
npm run db:migrate # Run pending migrations
npm run db:push # Push schema directly (dev only)
Tip: Run
npm run cibefore pushing to ensure your changes pass GitHub Actions.
Beta Testing
For pre-release features, use the staging URL:
https://fathom-mcp-staging.up.railway.app/mcp
Fathom AI Deep dive
https://developers.fathom.ai/llms.txt
Contributing
See CONTRIBUTING.md for development setup and guidelines.
Releasing
See RELEASING.md for version and release instructions.
Future Development Plans
- Transcript vectorization — Enable vectorization of large transcripts so LLMs can parse and understand them more efficiently. Would be implemented as a stateless worker to ensure no user data is persisted.
- Action item aggregation — Aggregate action items across meetings with filters. "Show all my incomplete action items from this week."
- Meeting analytics — Calculate stats like total meeting time, meeting frequency, and top attendees.
- Speaker time analysis — Analyze transcripts to show who spoke most in a meeting.
- Meeting comparison — Compare two meeting summaries to highlight what changed over time.
- Fathom API changelog monitoring — Automated detection of Fathom API changes via GitHub Action that periodically checks their API reference and creates an issue if changes are detected.
Contributions toward these goals are welcome. See CONTRIBUTING.md.
License
MIT License - see LICENSE for details.
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