TimelinesAI WhatsApp
@InitechSoftware
Connect your TimelinesAI WhatsApp inbox to Claude. List chats, read history, send messages, react, label, assign teammates — all as you, in production.
Overview
What is TimelinesAI WhatsApp?
TimelinesAI WhatsApp MCP connects MCP-compatible clients such as Claude Desktop, Claude Code, Cursor, and other agent tools to a real TimelinesAI WhatsApp inbox. After OAuth authorization, the assistant can list chats, read message history, send replies, react to messages, manage labels, assign teammates, inspect workspace quotas, and work with connected WhatsApp accounts — all as the authenticated TimelinesAI user.
How to use TimelinesAI WhatsApp?
Install by adding a configuration entry to your MCP client using npx mcp-remote@latest pointed at https://mcp.services.timelines.ai/mcp. You need a TimelinesAI production account with at least one connected WhatsApp account and Node.js 18+ installed locally. On first use, a browser tab opens for OAuth 2.0 PKCE authorization; after approval, the server is ready.
Key features of TimelinesAI WhatsApp
- Workspace introspection: plan, seats, quotas, accounts, teammates.
- Chat discovery and inspection: filter by labels, assignee, status, dates.
- Messaging: send messages, reply, add or clear emoji reactions.
- Chat operations: open/close chats, assign/unassign teammates, manage labels.
- 18 tools exposed across workspace metadata, chat discovery, messaging writes, and chat management.
Use cases of TimelinesAI WhatsApp
- Get an inbox overview: show open chats assigned to you and summarize which need a reply.
- Customer support triage: find unresolved chats, label them, suggest replies before sending.
- Team handoff: check available teammates and reassign chats based on context.
- Quota check: review workspace messaging and API quotas before sending outbound messages.
FAQ from TimelinesAI WhatsApp
Does this server control a sandbox or a real WhatsApp inbox?
It controls a real WhatsApp inbox. Messages and changes are production actions, not sandbox actions. Recipients cannot distinguish between a message sent from the TimelinesAI UI and one sent through the AI assistant.
What are the runtime requirements?
Node.js 18+ must be installed locally. You also need a TimelinesAI production account with at least one connected WhatsApp account.
How is authentication handled?
Authentication uses OAuth 2.0 PKCE via mcp-remote. On first use, a browser tab opens for TimelinesAI authorization; your assistant operates under your user’s role permissions.
Are there usage limits?
Yes. Messaging actions consume the monthly messaging quota from your TimelinesAI workspace. Teams should check workspace quotas before high-volume or bulk operations.
What transport protocol does the server use?
It uses Streamable HTTP transport through mcp-remote.
