Omnichannel MCP Server for Kimi K3

# ChatbotX Model Context Protocol (MCP) Server for Kimi K3

Connect Moonshot AI Kimi K3 agent to ChatbotX via MCP SSE. Utilize Kimi 2M token context window to process complete multi-month customer conversation histories, synthesize customer preferences, and execute omnichannel CRM actions.

## Connection Setup for Kimi K3
- Protocol: Model Context Protocol (MCP) via Server-Sent Events (SSE)
- Endpoint: https://app.chatbotx.io/mcp/sse
- Authentication: Header "x-workspace-token: <YOUR_WORKSPACE_TOKEN>"
- Documentation: https://chatbotx.io/docs/mcp/introduction

### Configuration
```json
{
  "mcpServers": {
    "chatbotx": {
      "url": "https://app.chatbotx.io/mcp/sse",
      "headers": {
        "x-workspace-token": "YOUR_WORKSPACE_TOKEN"
      }
    }
  }
}
```

## Available MCP Tools
- contacts_search: Query customer records across extensive workspace databases.
- contacts_tag: Add or update customer segmentation tags.
- contacts_custom_field: Store detailed customer preferences and historical summary attributes.
- flows_trigger: Launch interactive chatbot flows and multi-stage re-engagement sequences.
- conversations_list: Ingest entire conversation archives across all channels without token constraints.
- messages_send: Send nuanced replies to customers on their active messaging channel.
- broadcasts_list: Evaluate broadcast delivery and subscriber response rates.
- channels_list: Check connectivity and webhook listeners for connected platforms.

## Long-Context Workflows for Kimi K3
- "Ingest complete conversation history for contact +84901234567 over the past 6 months. Summarize their product preferences and tag as 'High LTV'."
- "Review all open conversations across WhatsApp and Telegram, identify customers waiting over 2 hours, and dispatch apologies."
- "Extract feedback points from all customer chats this month and update the CRM feature request field."

## Supported Messaging Channels
WhatsApp, Messenger, Instagram, TikTok, Telegram, Zalo OA, Webchat, SMTP, and API.