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

Q: How do I check details for a captured lead?

Simply provide the Lead ID to the getleaddetails tool. Your agent will fetch the full profile and captured field values.

Convert website visitors into qualified leads with AI chatbots that engage, qualify, and route prospects in real time.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

create

Create bot on ChatGen

Create a new chatbot

delete

Delete bot on ChatGen

Delete a bot

get

Get bot on ChatGen

Get details for a specific bot

get

Get lead details on ChatGen

Get details for a specific lead

list

List bots on ChatGen

List all ChatGen bots

list

List conversations on ChatGen

List recent bot conversations

list

List leads on ChatGen

List captured leads

list

List teams on ChatGen

List organizational teams

update

Update bot on ChatGen

Update an existing bot

Security & Code Integrity Audit

Every tool in the ChatGen 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: 100

How Vinkius protects your data

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.

How do I check details for a captured lead?

Simply provide the Lead ID to the get_lead_details tool. Your agent will fetch the full profile and captured field values.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

Supported Use Cases for ChatGen

The ChatGen integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.

Optimizing conversational marketing with Claude

The ChatGen MCP integration translates natural language prompts into structured conversational marketing queries. This allows agents to fetch and update customer support records securely.

LLM Orchestration for lead capture

The ChatGen toolkit provides AI native integration for lead capture. It structures data so Claude Code can accurately process customer support requirements.

ChatGen. 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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