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AI Actions of LiveChatAI

Custom MCP AI Actions

Custom MCP lets your AI chatbot connect directly to external tools via any MCP-compatible server, enabling advanced automation without writing backend code. Think of it as a way to extend your bot’s capabilities by plugging into another service’s logic, tools, or workflows — all in real time, all inside chat.

What You Can Do with Custom MCP

With Custom MCP, your AI bot can:

  • Retrieve data from external systems
  • Trigger multi-step workflows
  • Push updates to external services
  • Run internal tools or scripts
  • Chain together multiple tools via your custom backend

This setup works great for businesses with:

  • Custom internal systems
  • Middleware platforms
  • Developer-maintained services that expose MCP-compatible actions

⚙️ How to Set It Up

1. Go to AI Actions

Navigate to your AI Actions tab and select Custom MCP under “Create from Scratch.”

Navigate to your AI Actions tab and select Custom MCP under “Create from Scratch.”

2. Enter Connection Details

Fill out:

  • URL of your MCP server (must support Server-Sent Events)
  • Label (for internal naming)
  • Optional Description
  • Authentication Method (API Key or none)
  • If API Key: provide your key and select Basic, Bearer, or Custom
Enter Connection Details of MCP

3. Add Tools

Once authenticated, LiveChatAI will fetch the list of available actions (tools) from your MCP server. Select the ones you want your AI to use, then click Add Tools.

How It Works in Conversations

Once connected, your selected tools appear in your bot’s capabilities. Each MCP tool can be triggered when certain conditions in the conversation are met — just like other AI Actions.

The chatbot will:

  1. Collect user inputs (e.g., form fields, messages)
  2. Send those to your MCP server
  3. Display the response from your server to the user — instantly

🧪 Example Use Cases

Here are a few ways teams use Custom MCP AI Actions:

Use Case

Description

📊 Internal CRM Query

The chatbot pulls customer data from your own CRM via MCP

🛠️ Custom Task Trigger

The bot triggers a build, deployment, or cleanup task inside your internal dev tools

🧾 Contract Generator

The user fills out a form, and the bot triggers document creation via your backend

📍 Geo Search Tool

The AI chatbot sends coordinates and gets location data in return via your own MCP service

🔁 Chain of Actions

Your MCP server coordinates a multi-step workflow and returns the summary to the user

🔐 Notes

  • Custom MCP requires the MCP server to support SSE (Server-Sent Events) protocol.
  • Data exchange is secure and customizable with your authentication method.
  • This is ideal for technical teams looking to unlock deeper automation via their backend.