Integrate Bot9 with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: Can I train my bot with a new URL through the agent?

Yes! Use the adddatasource tool and provide the Bot ID and the target URL. The bot will automatically scrape and learn from that page.

Manage your AI agents via Bot9 — orchestrate bots, train them, and automate conversations directly from any AI agent.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

add

Add data source on Bot9

Add a URL to train the bot

create

Create bot on Bot9

Create a new AI chatbot

get

Get bot on Bot9

Get details of a specific bot

get

Get conversation history on Bot9

Retrieve message history of a conversation

list

List bots on Bot9

List all AI bots

list

List conversations on Bot9

List active conversations for a bot

list

List data sources on Bot9

List knowledge base sources for a bot

send

Send message on Bot9

Send a message to a bot and get a response

Security & Code Integrity Audit

Every tool in the Bot9 MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 95.83

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

Can I train my bot with a new URL through the agent?

Yes! Use the add_data_source tool and provide the Bot ID and the target URL. The bot will automatically scrape and learn from that page.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Supported Use Cases for Bot9

Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Bot9 infrastructure.

ChatGPT conversational ai Automation

Use the Bot9 MCP to manage conversational ai requests. Models like Claude Code utilize this connection to perform reliable customer support updates.

ChatGPT chatbot training Automation

Connect the Bot9 server to enable chatbot training workflows. The integration provides structured schemas for Claude to mutate customer support data.

Bot9. Runs on everything.

From IDE to framework. Every connection governed by Vinkius.

Claude DesktopIDE

Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

GitHub Copilot in VS Code with Agent mode and MCP support.

WindsurfIDE

Purpose-built IDE for agentic AI coding workflows.

ClineIDE

Autonomous AI coding agent that runs inside VS Code.

Claude CodeCLI

Anthropic's agentic CLI for terminal-first development.

OpenAI Agents SDKSDK

Python SDK for building production-grade OpenAI agent workflows.

Google ADKSDK

Google's framework for building production AI agents.

Pydantic AISDK

Type-safe agent development for Python with first-class MCP support.

Vercel AI SDKSDK

TypeScript toolkit for building AI-powered web applications.

Mastra AISDK

TypeScript-native agent framework for modern web stacks.

CrewAIFramework

Python framework for orchestrating collaborative AI agent crews.

LangChainFramework

Leading Python framework for composable LLM applications.

LlamaIndexFramework

Data-aware AI agent framework for structured and unstructured sources.

AutoGenFramework

Microsoft's framework for multi-agent collaborative conversations.

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