Plaud Notes MCP Server

Plaud Notes MCP Server

Connects your Plaud voice recorder to Claude, giving access to recordings, transcripts, and AI summaries so you can query your notes via natural language.

Category
Visit Server

README

Plaud Notes MCP Server

Connect your Plaud voice recorder to Claude. Claude gets access to your recordings, transcripts, and AI summaries -- so you can ask it about anything you've ever recorded.

New here? No coding experience? Follow the Step-by-Step Setup Guide -- it walks you through everything with checkboxes.

Before you start: Read the Security Setup Guide to lock down your Claude account first. Your Plaud Notes contain private conversations -- make sure they stay private.

<!-- To enable one-click deploy: register a template at railway.com/button, then replace TEMPLATE_ID below with your template slug --> Deploy on Railway

What Can Claude Do With Your Plaud Notes?

Once connected, just talk to Claude naturally:

  • "Show me my recent recordings"
  • "Get the transcript from my meeting yesterday"
  • "Search my notes for anything about the Q4 budget"
  • "Summarize my last 3 recordings"
  • "What did we discuss about hiring?"
  • "Load my last 5 recordings for context, then help me write a follow-up email"

Features

  • Browse Recordings - See all your notes with titles, durations, and dates
  • Full Transcripts - Complete transcriptions with speaker labels
  • AI Summaries - Plaud's AI-generated summaries and notes
  • Search Everything - Find any topic across all your recordings
  • Bulk Context Loading - Pull recent transcripts into Claude in one go
  • Tags, Speakers, Devices - Filter by folder, see who spoke, check your devices

Quick Start

The short version (3 steps):

  1. Get your token from web.plaud.ai (DevTools → Local Storage → tokenstr)
  2. Deploy this server (click the Railway button above, or use Docker)
  3. Point Claude at it

Detailed instructions below, or see the full beginner guide.


1. Get Your Plaud Token

  1. Sign in to web.plaud.ai
  2. Open browser DevTools (F12 or Cmd+Option+I)
  3. Go to Application tab (or Storage in Firefox) → Local Storagehttps://web.plaud.ai
  4. Find tokenstr and copy its value
  5. The token is the part after bearer (starts with eyJ...)

Tip: Your token lasts ~10 months. Alternatively, go to Application > Local Storage and copy the tokenstr value.

Note: If you use Google or Apple sign-in, you'll need to set a password first via "Forgot Password" on web.plaud.ai to ensure token compatibility.

2. Install

git clone https://github.com/jameshenning/PlaudNotes.git
cd PlaudNotes

# Option A: Install directly
pip install -e .

# Option B: Use a virtual environment (recommended)
python3 -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -e .

3. Configure Your Token

Choose one method:

# Environment variable (simplest)
export PLAUD_TOKEN="eyJhbGciOiJI..."

# Or .env file
cp .env.example .env
# Edit .env and paste your token

# Or config file (most persistent)
mkdir -p ~/.config/plaud
echo "eyJhbGciOiJI..." > ~/.config/plaud/token
chmod 600 ~/.config/plaud/token

EU region users - set the region or API domain:

export PLAUD_REGION=eu
# or explicitly: export PLAUD_API_DOMAIN=https://api-euc1.plaud.ai

The server auto-detects region mismatches and redirects automatically, but setting the correct region avoids the extra round-trip.

4. Connect to Claude

Claude Code (CLI):

# Basic setup
claude mcp add plaud-notes -- python -m plaud_notes_mcp.server

# With environment variable for token
claude mcp add plaud-notes -e PLAUD_TOKEN=your_token_here -- python -m plaud_notes_mcp.server

# With virtual environment
claude mcp add plaud-notes -e PLAUD_TOKEN=your_token_here -- /path/to/PlaudNotes/venv/bin/python -m plaud_notes_mcp.server

# Verify it's registered
claude mcp list

Claude Desktop:

Edit your config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "plaud-notes": {
      "command": "python",
      "args": ["-m", "plaud_notes_mcp.server"],
      "cwd": "/path/to/PlaudNotes",
      "env": {
        "PLAUD_TOKEN": "your_token_here"
      }
    }
  }
}

Fully quit and restart Claude Desktop after saving.

Remote Deployment (Docker)

Deploy the server to the cloud so Claude connects to it over HTTP -- no local install needed.

Security: Always set PLAUD_MCP_API_KEY when deploying over HTTP. This requires all MCP clients to authenticate with a Bearer token, preventing unauthorized access to your recordings.

Generate a key: python -c "import secrets; print(secrets.token_urlsafe(32))"

Docker (self-hosted)

# Clone and configure
git clone https://github.com/jameshenning/PlaudNotes.git
cd PlaudNotes
cp .env.example .env
# Edit .env: set PLAUD_TOKEN, PLAUD_MCP_API_KEY, and optionally PLAUD_REGION

# Run with Docker Compose
docker compose up -d

# Server is now running at http://localhost:8000/mcp

Then connect Claude Code to the remote server:

# Without API key auth
claude mcp add --transport http plaud-notes http://localhost:8000/mcp

# With API key auth (pass as header)
claude mcp add --transport http -H "Authorization: Bearer YOUR_API_KEY" plaud-notes http://localhost:8000/mcp

Railway (cloud hosting)

  1. Go to railway.app and create a free account
  2. Click "New Project""Deploy from GitHub repo"
  3. Connect your GitHub account and select PlaudNotes (fork it first if you don't see it)
  4. Once Railway starts building, click the service → "Variables" tab
  5. Add these environment variables:
    • PLAUD_TOKEN = your Plaud token (without the bearer prefix)
    • PLAUD_MCP_API_KEY = a secret password you make up
    • PLAUD_TRANSPORT = http
    • PLAUD_MCP_HOST = 0.0.0.0
    • PLAUD_REGION = us (or eu)
  6. Click "Settings""Networking""Generate Domain"
  7. Railway auto-detects the Dockerfile and deploys
  8. Copy your Railway URL and connect Claude:
    claude mcp add --transport http plaud-notes https://your-app.up.railway.app/mcp
    

Fly.io

# Install the Fly CLI, then:
cd PlaudNotes
fly launch --no-deploy

# Set secrets (never in fly.toml)
fly secrets set PLAUD_TOKEN="eyJhbGciOiJI..."
fly secrets set PLAUD_MCP_API_KEY="your_generated_key"

# Deploy
fly deploy

# Connect Claude to your Fly app
claude mcp add --transport http plaud-notes https://plaud-notes-mcp.fly.dev/mcp

Render / Generic Docker Host

Any platform that runs Docker containers works. Set these environment variables:

Variable Required Default Description
PLAUD_TOKEN Yes - Your Plaud bearer token
PLAUD_MCP_API_KEY Recommended - API key for HTTP auth (Bearer token)
PLAUD_TRANSPORT Yes (remote) stdio Set to http for remote deployment
PLAUD_MCP_HOST No 127.0.0.1 Bind address (set to 0.0.0.0 for Docker/cloud)
PLAUD_MCP_PORT No 8000 Listen port
PLAUD_REGION No us us or eu
PLAUD_API_DOMAIN No - Override API URL directly

Connect Claude Desktop to a Remote Server

For Claude Desktop, add the remote URL to your config:

{
  "mcpServers": {
    "plaud-notes": {
      "type": "http",
      "url": "https://your-deployment-url.example.com/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Available Tools

Once connected, Claude has access to 12 tools:

Tool Description
list_recordings Browse recordings with titles, durations, dates, and transcript/summary status
get_transcript Get the full transcript of a recording with speaker labels
get_summary Get the AI-generated summary and notes for a recording
get_recording_detail Get complete metadata, transcript, and AI content for a recording
search_notes Search across all recordings for specific content in titles, transcripts, or summaries
get_recent_context Load transcripts and summaries from your N most recent recordings at once
get_recordings_by_tag Get all recordings within a specific tag/folder
list_tags List your organizational tags and folders
list_speakers List all identified speakers across recordings
get_audio_url Get a temporary pre-signed audio download URL
get_user_info Check your Plaud account information and membership status
list_devices List connected Plaud devices (NotePin, Note, Note Pro)

Example Conversations

Once configured, you can ask Claude things like:

  • "Load my last 5 Plaud recordings for context" - uses get_recent_context
  • "Show me my recent Plaud Notes recordings" - uses list_recordings
  • "Get the transcript from my meeting yesterday" - uses get_transcript
  • "Search my notes for anything about the Q4 budget" - uses search_notes
  • "Summarize the key points from my last 3 recordings" - uses get_recent_context + analysis
  • "What did we discuss about the product roadmap?" - uses search_notes
  • "Show me all recordings tagged as Work" - uses list_tags + get_recordings_by_tag
  • "Who were the speakers in my last meeting?" - uses list_speakers

Troubleshooting

Issue Solution
Authentication error Your token may be expired. Sign into web.plaud.ai again and get a new token.
No recordings found Ensure "Private Cloud Sync" is enabled in the Plaud mobile app (Me > Private Cloud Sync).
Region mismatch The server auto-redirects, but you can explicitly set PLAUD_REGION=eu if your account is in the EU.
Connection refused (local) Verify the server is running. Test with python -m plaud_notes_mcp.server directly.
Connection refused (remote) Check that PLAUD_TRANSPORT=http and PLAUD_MCP_HOST=0.0.0.0 are set. Check your cloud platform logs.
Docker container exits Run docker compose logs to see the error. Usually a missing PLAUD_TOKEN.

Architecture

PlaudNotes/
  src/plaud_notes_mcp/
    __init__.py          # Package metadata
    plaud_client.py      # Plaud API client (auth, recordings, transcripts, summaries)
    server.py            # MCP server (12 tools, 3 resources, stdio + HTTP transport)
  Dockerfile             # Container image for remote deployment
  docker-compose.yml     # One-command local Docker setup
  fly.toml               # Fly.io deployment config
  railway.toml           # Railway deployment config
  railway.json           # Railway template config
  Procfile               # Generic PaaS entry point
  pyproject.toml         # Python package definition
  .env.example           # Configuration template

The server uses the Plaud web API (the same API that powers web.plaud.ai). This is a reverse-engineered, unofficial API -- it is not endorsed by Plaud and may change without notice.

Transport modes:

  • stdio (default) -- for local use with Claude Code CLI and Claude Desktop
  • HTTP (PLAUD_TRANSPORT=http) -- for remote/cloud deployment, serves at /mcp

Security Notes

Important: Before connecting sensitive data, follow the Security Setup Guide to harden your Claude account (disable training, enable 2FA, review privacy settings).

Your data flow:

  • Raw audio files stay on Plaud's servers -- they are never sent to Claude
  • Only transcript text and summaries (returned by MCP tools) are sent to Claude's API
  • With training OFF, Anthropic retains data for 30 days only and never trains on it
  • Using Incognito Chats means nothing is stored at all

Server security:

  • Your Plaud bearer token is stored locally and only sent to Plaud's own API servers
  • When deployed over HTTP, set PLAUD_MCP_API_KEY to require authentication
  • All file_id inputs are validated against path traversal and injection attacks
  • API redirects are restricted to known Plaud domains only
  • Docker container runs as non-root with read-only filesystem
  • Never commit your .env file or token to version control (.gitignore covers this)

Need Help?

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured