Can I see which phrases my bot failed to understand?

Yes! Use the `list_training_data` tool. The agent will return a list of unrecognized phrases, helping you identify what needs to be added to your bot's training set.

How do I list all the interactions in a specific story?

Use the `list_story_interactions` tool with the unique story ID. Your agent will fetch all interaction blocks and their configurations.

Where do I find my ChatBot Access Token?

Log in to your ChatBot account and go to the settings section. Look for 'API' or 'Integrations' to generate and copy your Developer Access Token.

ChatBot.com MCP Server for VS Code Copilot 8 tools — connect in under 2 minutes

Name: ChatBot.com
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 8 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install ChatBot.com and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About ChatBot.com MCP Server

Connect your ChatBot.com account to any AI agent and take full control of your conversational automation through natural conversation. Streamline how you build and monitor your customer service bots.

GitHub Copilot Agent mode brings ChatBot.com data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Story Oversight — List and retrieve details for all conversational stories and bot workflows natively
Interaction Intelligence — Access and monitor interactions within specific stories to understand user paths flawlessly
User Management — List all users who have interacted with your bot and retrieve their detailed profiles securely
Integration Auditing — List and review configured webhook integrations and entities flawlessly
Training Logistics — Retrieve unrecognized phrases to identify areas where your bot needs additional training flawlessly
System Metadata — Access entity definitions and core account structures directly within your workspace

The ChatBot.com MCP Server exposes 8 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect ChatBot.com to VS Code Copilot via MCP

Follow these steps to integrate the ChatBot.com MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using ChatBot.com

Ask Copilot: "Using ChatBot.com, help me...". 8 tools available

Why Use VS Code Copilot with the ChatBot.com MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with ChatBot.com through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

ChatBot.com + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the ChatBot.com MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

ChatBot.com MCP Tools for VS Code Copilot (8)

These 8 tools become available when you connect ChatBot.com to VS Code Copilot via MCP:

get_chatbot_user_details

Get details for a specific chatbot user

get_story_details

Get detailed information for a specific story

list_chatbot_entities

List custom entities used for NLP matching

list_chatbot_stories

List all stories (bot workflows)

list_chatbot_users

List all users who have interacted with the bot

list_chatbot_webhooks

List all configured webhook integrations

list_story_interactions

List all interactions within a story

list_training_data

List unrecognized phrases that require bot training

Example Prompts for ChatBot.com in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with ChatBot.com immediately.

"List all conversational stories in my account."

"What training data is pending review?"

"Search for users who interacted with the bot today."

Troubleshooting ChatBot.com MCP Server with VS Code Copilot

Common issues when connecting ChatBot.com to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

ChatBot.com + VS Code Copilot FAQ

Common questions about integrating ChatBot.com MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.