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How to Use the ChatBot.com MCP in VS Code Copilot

Give your entire engineering team access to ChatBot.com data via VS Code Copilot.

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Works with every AI agent you already use

…and any MCP-compatible client

ChatBot.com MCP on Cursor AI Code Editor MCP Client ChatBot.com MCP on Claude Desktop App MCP Integration ChatBot.com MCP on OpenAI Agents SDK MCP Compatible ChatBot.com MCP on Visual Studio Code MCP Extension Client ChatBot.com MCP on GitHub Copilot AI Agent MCP Integration ChatBot.com MCP on Google Gemini AI MCP Integration ChatBot.com MCP on Lovable AI Development MCP Client ChatBot.com MCP on Mistral AI Agents MCP Compatible ChatBot.com MCP on Amazon AWS Bedrock MCP Support
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VS Code Copilot

Connect ChatBot.com MCP to VS Code Copilot

Create your Vinkius account to connect ChatBot.com to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Share bot context in VS Code Copilot

Pull active conversational paths directly into your IDE chat using `list_chatbot_stories` so developers never have to share dashboard credentials. The team gets immediate visibility into the conversational logic. When someone asks how the password reset flow works, the agent grabs the exact node structure. The entire team gets accurate, live workflow answers without leaving their editor.

Analyze drop-offs during sprint planning

Run `list_story_interactions` to pull raw engagement numbers when product teams ask why users abandon a specific prompt. The agent grabs the exact step where the drop-off happened. Pairing that data with `get_story_details` shows you the specific message that caused the exit. Fixing the backend routing logic happens in the exact same window.

Fix NLP gaps across the organization

Call `list_training_data` to see exactly which phrases the bot missed today before those unrecognized inputs degrade the user experience. This MCP Server exposes the exact gaps in your NLP model. Copilot reads those failed inputs and helps you write the necessary fallback handlers in your application code. Patching NLP blind spots works best when based on actual chat failures.

Setup guide

Set up ChatBot.com MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the ChatBot.com MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the ChatBot.com tools listed. Try asking: "List my recent ChatBot.com transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "chatbotcom-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ChatBot. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ChatBot.com MCP in VS Code Copilot

Add the server details to a .vscode/mcp.json file in your repository root. Once committed, every developer pulling the repo gets instant access to the bot data.
No. Vinkius handles the actual API authentication. Your team just uses a scoped endpoint token, keeping your primary admin credentials completely isolated from the development environment.
Yes. The agent can trigger the user list tool to pull recent interactions. This helps developers grab a real user ID for local testing instead of inventing dummy data.
You must run version 1.96 or higher. Older builds lack the necessary extension API to route ChatBot.com tool calls through the Copilot chat panel.
Everything runs through a zero-trust, ephemeral sandbox. When your team queries specific user details or interaction logs, the data exists only for the duration of that specific prompt. No chat histories or raw user inputs are stored on disk.

Start using the ChatBot.com MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for ChatBot.com. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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