ChatGen MCP. Capture leads and track visitor conversations.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
ChatGen MCP connects your AI client to manage all your chatbots, track conversations, and gather qualified leads from your website visitors in real time.
It automates the entire process of converting simple chats into structured, actionable sales data for your team.
What your AI agents can do
Create bot
Creates an entirely new chatbot instance within your ChatGen account.
Delete bot
Removes a specified chatbot from the system, taking it offline.
Get bot
Retrieves all configuration details for one specific existing bot.
Create, retrieve details for, update settings on, or delete individual chatbots within the system.
Query and get detailed information on specific leads that were captured by your bots in a structured format.
List recent chat sessions to understand user interactions, measure bot performance, or find out what topics are trending.
List the organizational teams tied to your ChatGen account so you know which departments manage specific bots.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
ChatGen: Manage Leads & Bots (9 Tools)
These nine tools let you programmatically create, read, update, delete bots, retrieve detailed lead records, and track all conversation activity.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using ChatGen on Vinkius019dd0cccreate bot
Creates an entirely new chatbot instance within your ChatGen account.
019dd0ccdelete bot
Removes a specified chatbot from the system, taking it offline.
019dd0ccget bot
Retrieves all configuration details for one specific existing bot.
019dd0ccget lead details
Fetches full information about a single, identified lead record.
019dd0cclist bots
Generates a complete list of every bot you currently have running.
019dd0cclist conversations
Retrieves summaries and details from the most recent chat interactions.
019dd0cclist leads
Pulls a list of all captured leads, giving you an overview of your prospect database.
019dd0cclist teams
Shows the organizational teams associated with your account for structural reference.
019dd0ccupdate bot
Modifies specific settings or parameters on an existing chatbot without deleting it.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with ChatGen, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ChatGen. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Mess of Manual Lead Capture
Right now, converting a casual website chat into a usable lead record is painful. You have to switch between the chatbot interface and your CRM, copy down names, manually categorize their interest level, and then figure out which team owns that account. It takes five clicks and three different tabs just to get started.
With this MCP, you tell your agent to look for leads. The system handles the data retrieval—pulling in all necessary fields like name, company, and expressed interest—and delivers it clean and ready. You stop wasting time on copy-pasting; you start acting immediately.
Manage Chatbots with `list_bots`
Manually, managing your chatbot roster means clicking into the dashboard and scrolling through dozens of bots. If you need to know if a bot is active or what its current version settings are, it’s time-consuming guesswork.
Using `list_bots` lets your agent pull the entire inventory in seconds. You get a clean, machine-readable list that instantly tells you which resources are available and ready for automation.
What you can do with this MCP connector
This connector lets you automate conversational marketing entirely within your AI agent. Instead of manually checking dashboards or exporting CSVs to find out who showed interest, your agent talks directly to ChatGen. You can programmatically manage every chatbot—listing them, getting their specific settings, or even deleting old ones if they aren't needed anymore.
The system also monitors all incoming activity, allowing you to list recent conversations and analyze exactly what users were asking about pricing, features, or demos. When a visitor leaves contact information, the agent retrieves detailed lead records, giving your sales team immediate context on that person's interest level. Because sensitive data like personal identifiers passes through Vinkius's zero-trust proxy, you know those keys are used only in transit and never stored.
This capability lets you build complex automation chains, moving a qualified lead from initial chat interaction straight into your CRM workflow.
019dd0cc-da19-70db-9850-6f7d05f26d8c 
How ChatGen MCP Works
- 1 First, subscribe to this MCP and enter your API key into your AI client.
- 2 Next, prompt your agent with a command, like 'list all my ChatGen bots,' and the tool executes the call.
- 3 Finally, your agent receives clean data—like a list of leads or conversations—which it can then use to write code, send an email, or summarize for you.
The bottom line is that your AI client uses this MCP as a structured pipeline to pull conversational and lead data directly from ChatGen into its working memory.
Who Is ChatGen MCP For?
Marketing Operations Managers, Sales Enablement Specialists, and Customer Success Leaders. These are people who get frustrated when their sales process relies on copy-pasting data between three different platforms at 2 am.
Uses this to automate the movement of captured leads, ensuring that every new prospect is instantly validated and added to a sales sequence without human intervention.
Manages bot performance by listing bots and retrieving configuration metadata, making sure the chatbot playbooks align with current product offerings.
Checks conversation history to quickly understand a user's pain points or questions before they even call in for support.
What Changes When You Connect
- Automate the entire lead capture flow. Instead of manually sifting through chats, you can use a single command to list all captured leads or get full details on a specific prospect.
- Maintain bot inventory with confidence. Use
list_botsandget_botto programmatically manage every chatbot instance, knowing exactly what settings are active before deployment. - Keep track of everything that happens. The ability to use
list_conversationsgives you immediate visibility into user intent without having to dive deep into the ChatGen UI. - Build reliable workflows spanning multiple platforms. Because Vinkius handles all infrastructure, your agent can reliably move a qualified lead from chat data straight into another system via chained MCP calls.
- Ensure operational hygiene. You can use
update_botordelete_botto maintain clean bot records, preventing the accumulation of obsolete or inactive chatbots.
Real-World Use Cases
Syncing leads into a CRM
A sales manager needs to know which prospects from last week's website traffic need follow-up. The agent runs list_leads, finds the IDs, and then uses get_lead_details for the top 10 contacts, structuring that data instantly for their CRM import.
Auditing Bot Performance
The marketing team wants to know if the new pricing bot is working correctly. The agent runs list_bots and then uses list_conversations to pull a sample of interactions, summarizing common questions that need an FAQ update.
Onboarding a New Support Bot
A new department needs dedicated support. The agent first runs list_teams to verify the account structure, then uses create_bot with the correct metadata, and finally runs update_bot to set initial guardrails.
Deep Dive on a Specific Prospect
A sales rep gets an alert for 'lead_XYZ'. Instead of logging into ChatGen, they ask their agent to run get_lead_details, immediately getting the prospect's name, company interest, and capture date.
The Tradeoffs
Manual Dashboard Sifting
Copying a list of 50 leads from the ChatGen web dashboard into a spreadsheet to find out who needs a follow-up email.
→
Don't copy data. Use list_leads and then use your agent to filter that output, providing structured JSON ready for immediate consumption.
Guessing Bot Settings
Trying to recall the exact name of a bot or its current configuration just by looking at an old Slack message.
→
Use list_bots to get all names, then use get_bot for the full technical details and metadata you need.
Ignoring Bot Lifecycle
Leaving behind outdated or experimental bots that collect junk data, cluttering your account and confusing new users.
→
Run a cleanup script using list_bots to audit the roster, then use delete_bot on anything confirmed as obsolete.
When It Fits, When It Doesn't
Use this MCP if your primary goal is converting unstructured conversation data into structured, actionable lead records and managing chatbot infrastructure. If you need to know who talked to the bot (conversation history), or what they were interested in (lead details), this is it. Don't use this if all you need is a simple database query on non-chat related data—a general data retrieval MCP would be better suited. You should use get_bot whenever you need to verify technical settings, not just check the bot's name.
Common Questions About ChatGen MCP
How do I use the `get_lead_details` tool? +
You pass the specific lead ID to the agent. The agent then calls get_lead_details, returning comprehensive data points about that prospect, such as their full company name or the type of product they inquired about.
Can I see all my bots using the `list_bots` tool? +
Yes. Running list_bots gives you a complete roster of every chatbot in your account, allowing you to quickly audit your current bot setup and identify any that are unused or need updating.
What is the best way to check recent user activity? Use `list_conversations`? +
Using list_conversations pulls a summary of recent chats. This lets you gauge overall engagement levels and spot immediate trends in customer questions without needing to read every single transcript.
Do I have to manually update bots after changes? How does `update_bot` help? +
update_bot allows your agent to modify a bot's configuration directly. You can use it when you change pricing or product features, ensuring the chatbot instantly reflects the new information without manual dashboard tweaking.
How do I programmatically create a new chatbot using the `create_bot` tool? +
You pass the required configuration details to initiate the bot. This tool allows you to deploy new conversational models directly through your agent's workflow, skipping manual setup in the dashboard.
If I need a full list of captured leads, what should I use? Should I use `list_leads`? +
You run the list_leads tool to get an overview of every lead your bots have captured. This is better than checking individual details because it gives you a centralized manifest for filtering and analysis.
What if I need to check specific information about an existing bot, not just list them? Should I use `get_bot`? +
Yes, the get_bot tool pulls detailed metadata for one specific chatbot. Use this when you need to inspect a bot's full configuration, version, or internal settings without listing everything else.
How do I manage my organization's structure? Should I use the `list_teams` tool? +
The list_teams tool lets you map out your account structure. This is useful for understanding which teams have access to certain bots or resources within your overall ChatGen setup.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.