• NEW
  • LIVE
  • VIEW
  • MANUAL

How to deploy custom chatbots with your AI

Connect VectorShift once to let your AI build and launch its own chatbot instances on demand.

Ask AI about this page

Short answer

How can I make my AI build and launch chatbots?

Your AI uses VectorShift to create, list, and run chatbot instances. You can move from a simple request to a live, functional bot through direct commands. You'll get a breakdown of the specific steps and outcomes below.

Deployment outcomes

Where your bots land.

The AI handles the setup so you can focus on the interaction.

NEW

Fresh instances

The AI builds a new chatbot based on your instructions. You get a clean, isolated instance ready for use.

LIVE

Active bots

The AI moves a configured chatbot into a running state. This makes the bot immediately available to respond to inputs.

VIEW

Bot inventory

The AI pulls a list of all your existing chatbots. You can see exactly what is currently deployed.

MANUAL

Human control

You decide which specific parameters to set. The AI performs the technical deployment, but you keep the final say on configuration.

The workflow

What your AI does when the request arrives.

Your agent translates your intent into direct VectorShift actions.

  1. Create the bot

    The AI sets up the chatbot with the specific settings you requested.

    create_chatbot

  2. Check inventory

    The AI looks through your existing chatbots to find a specific one or verify names.

    list_chatbots

  3. Start the bot

    The AI triggers the instance to begin its operational loop.

    run_chatbot

  4. Manage instances

    The AI can check your current list or start a specific bot you've already built.

    list_chatbotsrun_chatbot

Try it

Copy these to start.

Use these prompts to trigger the VectorShift tools.

Starting points

These are starting points. Swap out the names like 'SupportBot' for whatever you want to call your instances.

VectorShift Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_EmQ0ykbVFnJJJOx8Wrsr9PBOJ4yiohOhm84Pa96G/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — VectorShift capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "vectorshift-ai-workflow-rag-automation-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_EmQ0ykbVFnJJJOx8Wrsr9PBOJ4yiohOhm84Pa96G/mcp"
    }
  }
}
Copy into chat04

  • Create a new chatbot named SupportBot for customer inquiries.

  • List all my current chatbots so I can see what's active.

  • Run the chatbot named DataAssistant to start a session.

  • Find the chatbot named FeedbackBot and start running it.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect VectorShift once, then ask.

Connect your account once and your AI handles the rest. Your login details stay encrypted on our side.

Connect VectorShift to your AI

FAQ

How this task behaves

  • 01

    Can the AI delete a chatbot?

    No. There is no tool available to delete or remove chatbots.

  • 02

    Can the AI update the settings of an existing bot?

    No. The AI can only create new ones or run existing ones.

  • 03

    How do I see what bots I have already made?

    Just ask your AI to list your chatbots.

  • 04

    Can the AI run multiple bots at the same time?

    Yes. You can tell your AI to run any specific chatbot from your list.

  • 05

    Does the AI need me to log in every time?

    No. Once you connect the MCP, your AI can use the tools whenever you ask.

  • More questions about VectorShift? The Connector page answers them. See everything the VectorShift Connector can do

Connect VectorShift to Claude, Cursor, ChatGPT & more