ChatBot Connector for AI agents.
8 live capabilities
Manage conversational AI workflows and customer service bot data.
Waiting for input…
Why people use ChatBot
ChatBot.com for Auditing Conversational AI Workflows
This Connector lets you stay in your AI client and just ask questions. You can pull interaction logs or list training gaps instantly. You get a clear picture of your bot's performance without the tab-switching headache.
What Vinkius changes
You get a direct, natural language interface for your entire ChatBot.com account.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Fixing broken flows
A designer asks the agent to list interactions for a 'Lead Gen' story to see where people drop off.
- Real-world use case 02
Bot training
A product manager asks for unrecognized phrases to see what new features the bot needs to handle.
- Real-world use case 03
User troubleshooting
A support rep asks for a specific user's details to see their history with the bot.
Complete set · 8capabilities
The complete ChatBot capability set.
These are the exact actions your AI can choose when you ask it to work with ChatBot.
01—04
4 capabilities in this set.
Part of 8 available through ChatBot.
- 01 Capability
Get story details
Get specific info about a single bot workflow. It helps you understand the logic of a particular conversation path.
- 02 Capability
Get chatbot user details
Pull a detailed profile for a specific user. This is useful for seeing who is interacting with your bot.
- 03 Capability
List chatbot entities
See all custom entities used for NLP matching. Use this to check how your bot recognizes specific keywords or data points.
- 04 Capability
List story interactions
View all interactions within a specific story. This lets you see the actual flow of a conversation.
05—08
4 capabilities in this set.
Part of 8 available through ChatBot.
- 05 Capability
List chatbot stories
List every story and workflow in your account. Use this to get a high-level view of your bot's capabilities.
- 06 Capability
List training data
Get a list of phrases the bot didn't recognize. This is the fastest way to find out what your bot needs to learn next.
- 07 Capability
List chatbot users
List everyone who has interacted with your bot. Use this to see your total reach and user base.
- 08 Capability
List chatbot webhooks
List all configured webhook integrations. This helps you keep track of where your data is being sent.
Set up in minutes
One URL. Then ask ChatBot to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ChatBot from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_2Z0qncNhPQ1ZiAdfbHS8L08HKBLoVsL20O1Ipg89/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it ChatBot, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ChatBot for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_2Z0qncNhPQ1ZiAdfbHS8L08HKBLoVsL20O1Ipg89/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the ChatBot URL.
- Step 03
Save and start
Save the connection and enable ChatBot in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"chatbotcom": {
"url": "https://edge.vinkius.com/vk_preview_2Z0qncNhPQ1ZiAdfbHS8L08HKBLoVsL20O1Ipg89/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using ChatBot
Open Agent mode in chat and ask: "Using ChatBot, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"chatbotcom": {
"url": "https://edge.vinkius.com/vk_preview_2Z0qncNhPQ1ZiAdfbHS8L08HKBLoVsL20O1Ipg89/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using ChatBot
Ask Copilot: "Using ChatBot, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"chatbotcom": {
"url": "https://edge.vinkius.com/vk_preview_2Z0qncNhPQ1ZiAdfbHS8L08HKBLoVsL20O1Ipg89/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using ChatBot
Open Cascade and ask: "Using ChatBot, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"chatbotcom": {
"url": "https://edge.vinkius.com/vk_preview_2Z0qncNhPQ1ZiAdfbHS8L08HKBLoVsL20O1Ipg89/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using ChatBot
Ask Cline: "Using ChatBot, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add chatbotcom --transport http "https://edge.vinkius.com/vk_preview_2Z0qncNhPQ1ZiAdfbHS8L08HKBLoVsL20O1Ipg89/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using ChatBot
Ask Claude: "Using ChatBot, show me...". 8 tools are ready
Where the request belongs
Work ChatBot can move forward.
This is for the conversational designers and CX managers who are tired of manual data exports and want to see how their bots are actually performing in real time.
Conversational Designer
Audits stories and interactions to fix broken paths without leaving their workspace.
Customer Experience Manager
Monitors bot performance and user sentiment by pulling interaction history.
Support Team Lead
Quickly looks up user details and chat histories to troubleshoot specific customer issues.
Product Manager
Identifies training needs and analyzes entity usage to plan the next bot update.
Build the capability set
Add more capabilities.
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Bring your own AI
Change the model, client or framework. Keep ChatBot connected.
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Claude -
ChatGPT -
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Cursor -
VS Code -
Windsurf -
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Cline -
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Vercel AI SDK
Before you connect
Questions about ChatBot.
The practical details behind the request, access and result.
Can I use ChatBot.com MCP to see why my bot is looping?
Yes, you can pull interaction logs for specific stories to see exactly where users are getting stuck in the conversation path.
How do I find out what my bot needs to learn?
Use the Connector to list training data, which shows you every phrase the bot didn't understand so you can update its logic.
Can I see who has been talking to my bot?
Yes, this Connector lets you list all users and pull detailed profiles for anyone who has interacted with your bot.
Does ChatBot.com MCP help with webhook auditing?
Yes, you can list all your configured webhooks to make sure your integrations are set up correctly and sending data where it should.
Can I use this to manage my bot's stories?
You can list all stories and get details on specific ones to help with oversight and auditing of your conversational design.
Is this Connector for building new bots?
No, this is for managing and auditing existing bots. You still use the dashboard to build the actual flows and UI.
Can I see which phrases my bot failed to understand?
Yes! Use the list_training_data capability. 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 capability 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.
One connection away
Give your agent a direct line to ChatBot.
Connect ChatBot once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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