Skip to main content

Intent-aligned MCP server for iMessage

Project description

iMessage Max

iMessage Max

An MCP (Model Context Protocol) server for iMessage that lets AI assistants read and search your messages with proper contact resolution.

Features

  • Media Enrichment - Images converted to viewable format, video thumbnails extracted, links unfurled with titles
  • Contact Resolution - See names instead of phone numbers (resolves via macOS Contacts)
  • Participant Lookup - Find chats by typing names like find_chat(participants=["Nick", "Andrew"])
  • Session Grouping - Messages grouped into conversation sessions with gap detection
  • Token Efficient - Designed for AI consumption with compact responses and pagination
  • Read-Only Safe - Only reads from chat.db, never modifies your messages

Why This Exists

Most iMessage tools expose raw database structures, requiring 3-5 tool calls per user intent. This MCP provides intent-aligned tools that work the way you'd naturally ask questions:

"What did Nick and I talk about yesterday?"
→ find_chat(participants=["Nick"]) + get_messages(since="yesterday")

"Show me recent group chats"
→ list_chats(is_group=True)

"Find where we discussed the trip"
→ search(query="trip")

Installation

Desktop Extension (Recommended)

One-click install with icon support in Claude Desktop:

Prerequisites:

  1. UV must be installed:
    curl -LsSf https://astral.sh/uv/install.sh | sh
    
  2. Grant Full Disk Access to uvx (required to read iMessage database):
    • Open System SettingsPrivacy & SecurityFull Disk Access
    • Click + and add ~/.local/bin/uvx (press Cmd+Shift+G to enter path)

Install:

  1. Download imessage-max.mcpb
  2. Double-click to install, or drag into Claude Desktop
  3. Grant Contacts access when prompted (for name resolution)

Troubleshooting: Run the diagnose tool to check permissions status.

From PyPI

pip install imessage-max

Using UV

# Install UV if you haven't
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install imessage-max
uv pip install imessage-max

From Source

pip install git+https://github.com/cyberpapiii/imessage-max.git

Setup

1. Grant Permissions

The MCP needs two macOS permissions to work properly:

Full Disk Access (Required)

Allows reading ~/Library/Messages/chat.db

  1. Open System SettingsPrivacy & SecurityFull Disk Access
  2. Click + and add your terminal app (Terminal.app, iTerm, Warp, etc.)
  3. If using Claude Desktop, add the process that runs Python:
    • For UV: Add /Users/YOU/.local/share/uv/python/ (or find it with which python)

Contacts Access (Required for name resolution)

Allows resolving phone numbers to contact names

  1. Open System SettingsPrivacy & SecurityContacts
  2. Add the same apps/processes as above
  3. Important: If using UV, you need to add UV itself (~/.cargo/bin/uv or similar)

2. Configure Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "imessage": {
      "command": "uvx",
      "args": ["imessage-max"]
    }
  }
}

Or if installed via pip:

{
  "mcpServers": {
    "imessage": {
      "command": "imessage-max"
    }
  }
}

3. Restart Claude Desktop

The MCP will request Contacts access on first run if not already granted.

Tools

find_chat

Find chats by participants, name, or recent content.

# Find a DM by contact name
find_chat(participants=["Nick"])

# Find a group chat with multiple people
find_chat(participants=["Nick", "Andrew"])

# Find a named group chat
find_chat(name="Family")

# Find chat where you discussed something recently
find_chat(contains_recent="dinner plans")

get_messages

Retrieve messages with flexible filtering. Automatically enriches media and links.

# Get recent messages from a chat
get_messages(chat_id="chat123", limit=50)

# Get messages from the last 24 hours
get_messages(chat_id="chat123", since="24h")

# Get only messages from a specific person
get_messages(chat_id="chat123", from_person="Nick")

# Get messages containing specific text
get_messages(chat_id="chat123", contains="flight")

Messages with attachments or links are automatically enriched:

{
  "messages": [{
    "id": "msg_123",
    "text": "Check out this photo!",
    "from": "nick",
    "media": [{
      "type": "image",
      "base64": "/9j/4AAQ...",
      "filename": "IMG_1234.heic"
    }],
    "links": [{
      "url": "https://instagram.com/p/abc",
      "domain": "instagram.com",
      "title": "Post by @user",
      "description": "Check out this amazing..."
    }]
  }]
}
Media Type Enrichment
Images (HEIC/JPEG/PNG) Converted to JPEG, resized to 512px thumbnails, base64 encoded
Videos (MOV/MP4) Thumbnail extracted at ~3s (512px), duration included
Audio (voice notes) Duration extracted
Links Open Graph metadata (title, description, domain), capped at 10 per request

Need full resolution? Each media item includes an id field (e.g., att123). Use get_attachment(attachment_id="att123") to retrieve the full 1536px version.

list_chats

Browse recent chats with previews.

# List recent chats
list_chats(limit=20)

# List only group chats
list_chats(is_group=True)

# List chats active in the last week
list_chats(since="7d")

search

Full-text search across all messages.

# Search all messages
search(query="dinner")

# Search messages from a specific person
search(query="dinner", from_person="Nick")

# Search with time bounds
search(query="meeting", since="2024-01-01", before="2024-02-01")

# Search only in group chats
search(query="party", is_group=True)

get_context

Get messages surrounding a specific message.

# Get context around a message
get_context(message_id="msg123", before=5, after=10)

# Find message containing text and get context
get_context(chat_id="chat123", contains="that link", before=3, after=5)

get_active_conversations

Find chats with recent back-and-forth activity.

# Find active conversations in the last 24 hours
get_active_conversations(hours=24)

# Find active group conversations
get_active_conversations(is_group=True, min_exchanges=3)

list_attachments

List attachments with metadata.

# List recent attachments
list_attachments(limit=20)

# List images from a specific chat
list_attachments(chat_id="chat123", type="image")

# List attachments from a specific person
list_attachments(from_person="Nick", type="any")

get_unread

Get unread messages or summary. By default, returns unread messages from the last 7 days to match Messages.app behavior.

# Get unread messages (default: last 7 days)
get_unread()

# Get unread from last 24 hours
get_unread(since="24h")

# Get unread from last 14 days
get_unread(since="14d")

# Get ALL historical unread messages (may include stale data)
get_unread(since="all")

# Get unread summary by chat
get_unread(format="summary")

# Get unread from specific chat
get_unread(chat_id="chat123")

send

Send a message (requires Automation permission for Messages.app).

# Send to a contact
send(to="Nick", text="Hey, are we still on for dinner?")

# Send to a group chat
send(chat_id="chat123", text="Running 5 minutes late")

diagnose

Troubleshoot configuration and permission issues.

# Check setup
diagnose()
# Returns: pyobjc_available, contacts_authorized, contacts_loaded count

Troubleshooting

Contacts showing as phone numbers

Run the diagnose tool to check status:

{
  "pyobjc_available": true,
  "contacts_authorized": false,
  "authorization_status": "not_determined"
}

Fix: Add your Python interpreter or UV to System Settings → Privacy & Security → Contacts.

"Database not found" error

The MCP can't access ~/Library/Messages/chat.db.

Fix: Add your terminal/Python to System Settings → Privacy & Security → Full Disk Access.

Empty message previews

Some messages store text in attributedBody instead of text column. This is handled automatically as of v0.1.0.

MCP not loading in Claude Desktop

  1. Check your config file syntax is valid JSON
  2. Ensure the command path is correct
  3. Restart Claude Desktop completely (Cmd+Q, not just close window)

Development

# Clone the repo
git clone https://github.com/cyberpapiii/imessage-max.git
cd imessage-max

# Create virtual environment and install
uv venv
uv pip install -e ".[dev]"

# Run tests
pytest

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

imessage_max-0.3.0.tar.gz (361.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

imessage_max-0.3.0-py3-none-any.whl (69.3 kB view details)

Uploaded Python 3

File details

Details for the file imessage_max-0.3.0.tar.gz.

File metadata

  • Download URL: imessage_max-0.3.0.tar.gz
  • Upload date:
  • Size: 361.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for imessage_max-0.3.0.tar.gz
Algorithm Hash digest
SHA256 39ad3743f1f25f61714b12c0621380a529750085d2e8de63c49b060798a69020
MD5 da0dab6097dc6be2ca3356a8c00a8d04
BLAKE2b-256 94f510c769783b3d0820df48a953cabfda01db16fd559e1c5a621d2f840f2c64

See more details on using hashes here.

Provenance

The following attestation bundles were made for imessage_max-0.3.0.tar.gz:

Publisher: publish.yml on cyberpapiii/imessage-max

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file imessage_max-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: imessage_max-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 69.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for imessage_max-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 72b82af51f200ae1f7ef29dddfd732044c4015f118fcb2c70e9d29527d6d9a27
MD5 f54e38a694a450fd9c793753f27700dd
BLAKE2b-256 099a1541c0f0590dcbbbd8d12d4dfb01110f7fc0f5054d8f0529049b1d6d3a26

See more details on using hashes here.

Provenance

The following attestation bundles were made for imessage_max-0.3.0-py3-none-any.whl:

Publisher: publish.yml on cyberpapiii/imessage-max

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page