# GPTBots MCP for AI Agents AI Agent Connect

> GPTBots MCP lets you manage your conversational AI agents, automated workflows, and knowledge bases directly through your AI client. Instead of jumping between different dashboards, you can trigger actions, audit chat logs, and update your bot's training data from one place. It turns your AI agent into a command center for your entire GPTBots infrastructure.

## Overview
- **Category:** knowledge-management
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_pFzrMNcCvqVvUyIaQd4qyuitua402CcnNNsSelwq/ai-agent-connect
- **Tags:** chatbot, workflow-automation, knowledge-base, conversational-ai, bot-management

## Description

Connect your GPTBots account to your AI agent and manage your enterprise AI infrastructure conversationally. This Connector changes the way you handle bot maintenance by letting you perform all your core tasks from a single chat interface. You can ask your agent to pull up a specific chat history to see how a bot handled a customer query, or tell it to push a new PDF into a knowledge base so the bot can start using that info immediately. It also gives you direct control over your automated workflows, letting you start them and check their progress without hunting for a specific ID in a dashboard. If you're building on GPTBots, this connects your development environment to your production environment. It's part of the Vinkius catalog, making it easy to plug into your existing setup so you can focus on refining your AI's logic rather than babysitting the interface. Instead of hunting for buttons in a web UI, you can just tell your agent what you want to happen. The Connector handles the heavy lifting for tasks like checking if a workflow is stuck or verifying that a new document was successfully uploaded. You can also query your platform's database tables to keep your data structure organized as you scale.

## Tools

### list_conversations
See all recent chats with a bot. Use this to get an overview of active user engagement.

### list_databases
See all tables in your platform database. This lets you quickly understand the data structure your bots are interacting with.

### list_knowledge_documents
See what files are currently in a knowledge base. This helps you manage your bot's training data.

### query_workflow
Check if a triggered workflow finished successfully. Use this to monitor long-running automated tasks.

### send_bot_message
Send a direct message to an agent. This lets you test bot behavior in real-time.

### trigger_workflow
Start an automated process. Use this to kick off complex logic like onboarding or data processing.

### create_knowledge_document
Upload new files to a knowledge base. Use this to keep your bot's information current without manual uploads.

### get_conversation
Pull the full history of a specific chat. This is how you troubleshoot specific user interactions.

## Prompt Examples

**Prompt:** 
```
Show me the last 5 conversations my bot had today.
```

**Response:** 
```
I've pulled the recent activity for your bot. Here are the last 5 conversations:

| Conversation ID | Timestamp | Status |
| :--- | :--- | :--- |
| conv_987 | 10:05 AM | Completed |
| conv_988 | 10:12 AM | In Progress |
| conv_989 | 10:15 AM | Completed |
| conv_990 | 10:20 AM | Completed |
| conv_991 | 10:25 AM | Completed |

Would you like me to pull the full history for any of these?
```

**Prompt:** 
```
Start the "Welcome_New_User" workflow for user test@example.com.
```

**Response:** 
```
I've initiated the "Welcome_New_User" workflow for test@example.com. The execution record is **rec_98765**. I'll keep an eye on it, or you can ask me to check the status anytime.
```

**Prompt:** 
```
What documents are currently in the "Support_FAQ" knowledge base?
```

**Response:** 
```
The "Support_FAQ" knowledge base currently contains 12 documents:

*   Refund_Policy.pdf
*   Shipping_Info.docx
*   Privacy_Guidelines.pdf
*   ... (8 more)

You can ask me to upload a new one or list the contents of a different base.
```

## Capabilities

### Audit chat logs
Pull specific conversation histories to review how your bots are interacting with users.

### Update knowledge bases
Upload new documents directly to your bot's training data via your AI client.

### Start automated workflows
Trigger complex backend processes using simple text commands.

### Monitor task status
Check the real-time progress of any triggered workflow to ensure completion.

### View database tables
See the tables and records hosted within your platform database.

## Use Cases

### Auditing a weird bot response
A product manager needs to see why a bot gave a strange answer. They ask the agent to pull the history of a specific conversation using get_conversation to see the exact flow.

### Updating training data on the fly
An engineer needs to add a new manual to a bot. They tell the agent to upload the PDF using create_knowledge_document so the bot can use it immediately.

### Starting a new user onboarding
An ops lead needs to start a new user onboarding. They ask the agent to start the onboarding process using trigger_workflow with the new user's email.

### Checking a stuck workflow
A developer needs to see if a workflow is stuck. They ask the agent to check the progress of a specific task using query_workflow.

## Benefits

- Stop switching tabs by using list_conversations to see all your bot activity in one place.
- Update your bot's knowledge base instantly with create_knowledge_document instead of using a web uploader.
- Audit real user interactions quickly using get_conversation to find and fix bot errors.
- Monitor your automated processes in real-time with query_workflow to ensure tasks finish correctly.
- Test your bot's logic on the fly by using send_bot_message to see how it reacts to specific inputs.
- Access your underlying data structure using list_databases to keep your development work organized.

## How It Works

The bottom line is you get a conversational interface for your entire GPTBots backend.

1. Subscribe to the GPTBots MCP on the Vinkius Marketplace.
2. Enter your GPTBots API Key and Data Center Region into your AI client.
3. Start managing your bots, workflows, and knowledge bases through natural conversation.

## Frequently Asked Questions

**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` tool 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` tool to monitor its execution status (e.g., Running, Success, Failed).