Fathom AI MCP
An MCP server for the Fathom AI meeting intelligence API
README
Fathom AI MCP
A Model Context Protocol server for the Fathom AI meeting intelligence API. Responses are optimized for LLM consumption - compact plaintext instead of raw JSON, with playback URLs stripped and transcripts chunked by time window.
Tools
| Tool | Description |
|---|---|
list_meetings |
List meetings with filtering by date, team, domain, participant, and pagination |
get_transcript |
Get transcript for a recording, with optional time-window chunking (start_time/end_time) |
get_summary |
Get AI-generated summaries for one or more recordings (clean markdown, no playback URLs) |
list_teams |
List all teams |
list_team_members |
List team members, optionally filtered by team |
All list tools support page and page_size params with random page access (no sequential fetching required). Use participants on list_meetings to filter by user email.
Prerequisites
-
Install Node.js (v20+).
-
Get a Fathom API key: go to Fathom Settings > API Access > Add + > Generate API Key.
Installation
Option 1: Claude Desktop
- Download
fathom-ai-mcp.mcpbfrom Releases - Open the
.mcpbfile with Claude Desktop to install - Configure your Fathom API key in Claude Desktop's extension settings
Option 2: Manual Configuration
Add the following to your MCP client configuration:
{
"mcpServers": {
"Fathom": {
"command": "npx",
"args": ["-y", "@jerichosequitin/fathom-ai-mcp"],
"env": {
"FATHOM_API_KEY": "your-api-key"
}
}
}
}
Config file locations:
- Claude Desktop:
~/Library/Application Support/Claude/claude_desktop_config.json(macOS) or%APPDATA%\Claude\claude_desktop_config.json(Windows) - Cursor:
.cursor/mcp.jsonin your project root - Windsurf:
~/.codeium/windsurf/mcp_config.json
Claude Code
claude mcp add Fathom -e FATHOM_API_KEY=your-api-key -- npx @jerichosequitin/fathom-ai-mcp
Environment Variables
| Variable | Required | Description |
|---|---|---|
FATHOM_API_KEY |
Yes | Your Fathom API key |
For Developers
Setup
git clone https://github.com/jerichosequitin/fathom-ai-mcp.git
cd fathom-ai-mcp
npm install
npm run build
npm start
Scripts
| Command | Description |
|---|---|
npm run build |
Compile TypeScript |
npm run validate |
Type-check + lint + format check |
npm run lint:fix |
Auto-fix lint issues |
npm run format |
Auto-format with Prettier |
npm run mcpb:build |
Build MCPB package for Claude Desktop |
Building MCPB Package
npm run mcpb:build
Creates fathom-ai-mcp-{version}.mcpb ready for GitHub Releases.
License
This project is licensed under the MIT License.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。