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twake-mcp

MCP server for Twake Workplace — connect any AI assistant to Linagora's collaboration suite.

What it does

Exposes Twake Workplace (Chat, Mail, Drive) as MCP tools that AI assistants like Claude, GPT, or Linagora's own LUCIE can use to interact with your workspace.

An AI assistant with twake-mcp can:

  • Read and send chat messages

  • Check your email inbox and read individual emails

  • Browse, read, and upload files to Drive

  • Search across all services simultaneously

Related MCP server: MCP Microsoft Office

Tools

Tool

Description

twake_chat_send

Send a message to a chat room

twake_chat_rooms

List joined rooms

twake_chat_history

Get recent messages

twake_mail_inbox

List inbox emails

twake_mail_read

Read a specific email

twake_mail_mailboxes

List mail folders

twake_drive_list

List files and folders

twake_drive_read

Read a file

twake_drive_upload

Upload content

twake_search

Search across all services

Setup

npm install

Configure via environment variables:

# Twake Chat (Matrix)
export TWAKE_MATRIX_HOMESERVER=https://matrix.twake.app
export TWAKE_MATRIX_TOKEN=syt_...
export TWAKE_MATRIX_USER=@jacob:twake.app

# Twake Mail (JMAP)
export TWAKE_JMAP_URL=https://jmap.twake.app/jmap
export TWAKE_JMAP_TOKEN=eyJ...

# Twake Drive (Cozy)
export TWAKE_COZY_URL=https://jacob.twake.app
export TWAKE_COZY_TOKEN=eyJ...

Usage with Claude Code

Add to your Claude Code MCP settings:

{
  "mcpServers": {
    "twake": {
      "command": "node",
      "args": ["/path/to/twake-mcp/src/index.js"],
      "env": {
        "TWAKE_MATRIX_HOMESERVER": "https://matrix.twake.app",
        "TWAKE_MATRIX_TOKEN": "your-token",
        "TWAKE_JMAP_URL": "https://jmap.twake.app/jmap",
        "TWAKE_JMAP_TOKEN": "your-token",
        "TWAKE_COZY_URL": "https://jacob.twake.app",
        "TWAKE_COZY_TOKEN": "your-token"
      }
    }
  }
}

Then ask Claude: "Check my Twake inbox" or "Send a message to #engineering on Twake"

Architecture

twake-mcp/
└── src/
    └── index.js          # Single-file MCP server
                           ├── API clients (Matrix, JMAP, Cozy)
                           ├── Tool implementations (10 tools)
                           └── MCP server setup (stdio transport)
┌──────────────────┐       ┌──────────────┐       ┌──────────────┐
│   AI Assistant   │       │   twake-mcp  │       │    Twake      │
│ (Claude, LUCIE,  │──────▶│  MCP Server  │──────▶│  Workplace    │
│  GPT, etc.)      │ stdio │              │ HTTPS │  (Chat/Mail/  │
│                  │◀──────│              │◀──────│   Drive)      │
└──────────────────┘       └──────────────┘       └──────────────┘

The server uses the @modelcontextprotocol/sdk stdio transport. Each tool maps directly to a Twake service API call — Matrix Client-Server API for chat, JMAP (RFC 8620/8621) for mail, and Cozy API for drive.

Zero dependencies beyond the MCP SDK. All HTTP calls use Node.js native fetch.

Why

Linagora is building LUCIE, an open-source multilingual LLM. This MCP server makes Twake Workplace AI-accessible, enabling LUCIE (or any AI) to interact with the collaboration suite. It's the bridge between Linagora's AI strategy and their product ecosystem.

License

AGPL-3.0 (matching Linagora's licensing)

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license - not found
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quality - not tested
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maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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