GPTBots Connector for AI agents.
8 live capabilities
Manage conversational AI agents and automated workflows from your favorite AI client.
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Why people use GPTBots
GPTBots Knowledge Management and Bot Auditing
This Connector lets you handle those tasks conversationally. You can ask your agent to pull up a specific chat history or push a new document to a knowledge base without ever leaving your current workspace. You get a unified way to oversee your entire AI infrastructure.
What Vinkius changes
You get a conversational interface for your entire GPTBots backend.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Auditing a weird bot response
A product manager needs to see why a bot gave a strange answer.
- Real-world use case 02
Updating training data on the fly
An engineer needs to add a new manual to a bot.
- Real-world use case 03
Starting a new user onboarding
An ops lead needs to start a new user onboarding.
Complete set · 8capabilities
The complete GPTBots capability set.
These are the exact actions your AI can choose when you ask it to work with GPTBots.
01—04
4 capabilities in this set.
Part of 8 available through GPTBots.
- 01 Capability
List conversations
See all recent chats with a bot. Use this to get an overview of active user engagement.
- 02 Capability
List databases
See all tables in your platform database. This lets you quickly understand the data structure your bots are interacting with.
- 03 Capability
List knowledge documents
See what files are currently in a knowledge base. This helps you manage your bot's training data.
- 04 Capability
Query workflow
Check if a triggered workflow finished successfully. Use this to monitor long-running automated tasks.
05—08
4 capabilities in this set.
Part of 8 available through GPTBots.
- 05 Capability
Send bot message
Send a direct message to an agent. This lets you test bot behavior in real-time.
- 06 Capability
Trigger workflow
Start an automated process. Use this to kick off complex logic like onboarding or data processing.
- 07 Capability
Create knowledge document
Upload new files to a knowledge base. Use this to keep your bot's information current without manual uploads.
- 08 Capability
Get conversation
Pull the full history of a specific chat. This is how you troubleshoot specific user interactions.
Set up in minutes
One URL. Then ask GPTBots to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use GPTBots 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_pFzrMNcCvqVvUyIaQd4qyuitua402CcnNNsSelwq/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 GPTBots, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable GPTBots for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_pFzrMNcCvqVvUyIaQd4qyuitua402CcnNNsSelwq/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 GPTBots URL.
- Step 03
Save and start
Save the connection and enable GPTBots in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"gptbots": {
"url": "https://edge.vinkius.com/vk_preview_pFzrMNcCvqVvUyIaQd4qyuitua402CcnNNsSelwq/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 GPTBots
Open Agent mode in chat and ask: "Using GPTBots, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"gptbots": {
"url": "https://edge.vinkius.com/vk_preview_pFzrMNcCvqVvUyIaQd4qyuitua402CcnNNsSelwq/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 GPTBots
Ask Copilot: "Using GPTBots, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"gptbots": {
"url": "https://edge.vinkius.com/vk_preview_pFzrMNcCvqVvUyIaQd4qyuitua402CcnNNsSelwq/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 GPTBots
Open Cascade and ask: "Using GPTBots, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"gptbots": {
"url": "https://edge.vinkius.com/vk_preview_pFzrMNcCvqVvUyIaQd4qyuitua402CcnNNsSelwq/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 GPTBots
Ask Cline: "Using GPTBots, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add gptbots --transport http "https://edge.vinkius.com/vk_preview_pFzrMNcCvqVvUyIaQd4qyuitua402CcnNNsSelwq/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 GPTBots
Ask Claude: "Using GPTBots, show me...". 8 tools are ready
Where the request belongs
Work GPTBots can move forward.
This is for the AI engineer who's tired of manually updating knowledge bases and the product manager who needs to audit hundreds of bot conversations without clicking through a clunky UI.
AI Developer
Testing bot responses and updating training docs directly from your IDE.
Product Manager
Auditing chat histories to see where the bot is failing users and improving the logic.
Operations Lead
Triggering complex workflows to automate internal business processes like onboarding.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsChatBot.com
Manage conversational AI and bot workflows via ChatBot. track stories, interactions, and user data directly from any AI agent.
Bot9
Manage your AI agents via Bot9. orchestrate bots, train them, and automate conversations directly from any AI agent.
SmartChatAI
Manage AI bots, knowledge bases, and messaging on SmartChatAI with AI agents.
BotGenuity
Create and manage AI chatbots with custom knowledge bases that answer customer questions accurately around the clock.
CHATFLY
Manage AI chatbots and knowledge bases via CHATFLY. train bots on custom data and track conversations directly from any AI agent.
Chatsistant
Deploy white-label AI assistants for your clients with custom branding, knowledge bases, and conversation analytics.
Bring your own AI
Change the model, client or framework. Keep GPTBots connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about GPTBots.
The practical details behind the request, access and result.
Can I use the GPTBots MCP to see what my customers are saying to my bots?
Yes, you can use it to pull specific chat histories. This lets you audit how your bots are performing and identify where they might need better instructions.
How does the GPTBots MCP help with updating my bot's information?
You can use the Connector to upload new documents directly to your knowledge base. This ensures your bot has the latest data without you having to log into the web portal.
Can I use the GPTBots MCP to run automated tasks?
Yes, you can trigger specific workflows and then check their status. This is great for starting complex processes like user onboarding or data processing.
Is the GPTBots MCP good for developers?
It's perfect for developers who want to manage their production environment from their IDE. You can test bot responses and manage workflows without leaving your workspace.
Does the GPTBots MCP let me see my database structure?
Yes, it allows your AI client to list the tables in your platform database. This makes it much easier to understand how your data is organized for the bots.
Can I manage multiple bots with the GPTBots MCP?
You can list conversations and manage workflows across your GPTBots account. It gives you a central way to oversee your entire AI infrastructure.
How do I chat with a specific bot?
Use the send_bot_message capability and provide the Bot ID and your message content. The AI agent will relay your message to the GPTBots platform and return the bot's response.
Can I check the status of a triggered workflow?
Yes. When you use trigger_workflow, it returns a Record ID. You can then pass that Record ID to the query_workflow capability to monitor its execution status (e.g., Running, Success, Failed).
One connection away
Give your agent a direct line to GPTBots.
Connect GPTBots once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available