ChatGen MCP. Qualify leads and track every conversation.
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 agent directly to your conversational marketing engine. It lets you manage chatbots, analyze real-time visitor conversations, and qualify leads as they happen.
Instead of relying on manual forms, this MCP routes prospects into your sales workflow automatically, giving you a single view of the entire customer journey.
What your AI agents can do
Create bot
Creates a brand new chatbot instance within your ChatGen account.
Delete bot
Removes an existing bot, taking it offline.
Get bot
Retrieves all configuration details for a specific chatbot by name or ID.
Programmatically list, create, and update every chatbot instance connected to the platform.
Pull logs of recent chat sessions to review user interactions and track bot performance over time.
Get detailed information on a specific lead, including all the data captured during their initial chats.
View an entire list of leads that have been successfully qualified and captured by your bots.
See the organizational teams set up within your ChatGen account for better departmental insights.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
ChatGen: 9 Available Tools
These tools let you control every aspect of your bot pipeline—from creating new chatbots to retrieving detailed lead profiles.
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 a brand new chatbot instance within your ChatGen account.
019dd0ccdelete bot
Removes an existing bot, taking it offline.
019dd0ccget bot
Retrieves all configuration details for a specific chatbot by name or ID.
019dd0ccget lead details
Fetches the full record and qualification status of one specific lead.
019dd0cclist bots
Shows a list of all active chatbots you currently manage.
019dd0cclist conversations
Retrieves recent chat sessions so you can review user interactions and bot performance logs.
019dd0cclist leads
Provides a list of all the captured leads waiting in your system for qualification.
019dd0cclist teams
Lists the organizational teams set up within your account structure.
019dd0ccupdate bot
Makes changes to an existing bot's settings without deleting it first.
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 4,900+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,900+ 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.
Tracking leads requires a painful amount of manual data juggling every week.
Today, when a visitor chats with your website bot, those details live in one system. When that lead is qualified and moves to sales, you have to manually copy the transcript into a CRM field, then update a spreadsheet, and finally notify the right internal team. It’s a mess of tabs, copy-pasting, and someone inevitably forgetting to send an email.
With this MCP connected through Vinkius, your agent handles the handoff. Instead of manual work, you ask your agent to check lead status or pull conversation logs. The data moves automatically and instantly—you get a clean, actionable record without touching a spreadsheet.
Managing Chatbot Resources with ChatGen MCP
You don't have to log into the dashboard just to see if your support bot is active or what its last conversation was. You can use `list_bots` to check status, and then immediately run `list_conversations` to get a summary of recent activity for that specific bot.
This means you manage your entire chatbot lifecycle—from creation (`create_bot`) to review and retirement (`delete_bot`)—all through natural commands. It keeps the whole process simple and auditable.
What you can do with this MCP connector
ChatGen turns website chat interactions into actionable data. Your agent connects to this MCP to handle everything from initial visitor questions to full lead qualification. It manages the whole cycle: monitoring who chats with the bot, understanding what they talked about, and then syncing that information directly with your sales records.
When a conversation indicates high interest—say, someone asking about pricing or an enterprise plan—the system qualifies them instantly. You get clear reports on recent chat sessions and full lead profiles, all without lifting a finger. Because it’s managed through the Vinkius catalog, you can use this capability alongside any other tool your team uses, keeping all your operational data in one place.
019dd0cc-da19-70db-9850-6f7d05f26d8c 
How ChatGen MCP Works
- 1 Subscribe to this MCP and input your unique ChatGen API key into your agent's settings.
- 2 Your AI client uses the connection to call out, checking your bot list or pulling specific lead data when prompted.
- 3 The conversation history and resulting qualification details appear directly in your agent’s output for immediate action.
The bottom line is: you get real-time visibility into who's talking to your website bots and what that means for sales.
Who Is ChatGen MCP For?
Marketing Operations Managers, Sales Enablement Specialists, and Product Managers. If you wake up frustrated by manual data transfer—the copy-pasting of chat transcripts into spreadsheets—this MCP is for you.
They use this to verify that new chatbots are correctly capturing lead details and syncing those records before a major campaign launch.
They track the flow of qualified leads, using the MCP's tools to confirm if recent conversations have been successfully transferred into the CRM for follow-up.
What Changes When You Connect
- Stop guessing about lead quality. By calling
get_lead_details, you see exactly what information was captured and whether the bot qualified them correctly for sales follow-up. - Keep your chatbot inventory clean and organized. Use
list_botsto quickly audit all active bots, or useupdate_botif a bot needs a small rule change without downtime. - Never lose context again. The ability to run
list_conversationslets you review the actual chat transcript whenever a lead gets stuck in the pipeline. - Sync your data flow. If you need to see all available leads, running
list_leadsgives you an immediate roster of prospects ready for assignment. - Maintain system structure easily. Need to check who owns which bot? Use
list_teamsto understand your account hierarchy and reporting lines.
Real-World Use Cases
Onboarding a New Bot
A marketing team member needs to launch three new campaign bots. Instead of logging into the dashboard manually, they ask their agent to list_bots first, then use create_bot and update_bot sequentially to set up the initial configuration for all three.
Auditing Lead Quality
Sales needs to know if a lead from last week is still interested. They ask their agent to list_leads, find the ID, and then run get_lead_details to see the latest qualification notes and interest level.
Investigating Bot Failure
Support noticed a lead dropped off after asking about payment. They ask their agent to list_conversations, find the chat from yesterday, review the transcript, and understand exactly where the bot failed to qualify them.
Account Cleanup
A team is sunsetting an old campaign. Instead of manually logging in and deleting it, they use get_bot to confirm its settings first, then run delete_bot via their agent.
The Tradeoffs
Treating leads like contacts.
A user just calls the system's basic contact list tool and gets a name and email, but has no idea if that person actually engaged with the site or how qualified they are.
→
You need to run get_lead_details after getting an ID. This confirms not only who it is, but how they were captured by a bot, giving you qualification context.
Relying on one single data pull.
A user asks the agent to just 'show me leads,' and gets a list of names with no conversation history attached. It's useless for follow-up.
→
Start by calling list_leads to get IDs, then use those specific IDs with get_lead_details. This ensures you pull the full context, including notes from recent conversations.
Missing bot status updates.
A team member manually changes a chatbot's rules in the dashboard but forgets to test it or confirm the change was saved correctly.
→
After making any rule adjustments, run get_bot right away. This confirms that your agent is talking to the latest version of the bot and nothing broke.
When It Fits, When It Doesn't
Use this MCP if your core pain point is bridging conversation data (chat transcripts) with CRM lead records. You need automation around qualification, not just logging. If you only need a simple list of users or basic team structure without any conversational depth, another catalog tool might suffice. However, if the value lies in understanding why a prospect became qualified—or why they dropped out—you must use this MCP's tools like list_conversations and get_lead_details. Don't try to replicate the qualification logic with simple form submissions; that misses the nuance of real-time, natural conversation.
Common Questions About ChatGen MCP
How do I check if a bot is running correctly using ChatGen MCP? +
Use list_bots to get an overview of all available bots. If you need deeper status, run get_bot with the specific name or ID to pull its current configuration metadata.
Can I find out who talked to the bot and what they asked? +
Yes, running list_conversations retrieves recent chat sessions. This lets you quickly review user interactions and see how the bot performed during those chats.
How do I update a chatbot's rules without downtime using ChatGen MCP? +
Use the update_bot tool. This allows you to make specific changes, like tweaking qualification criteria or updating routing logic, on an existing bot instance.
What is the best way to check a lead's status after they chat with the bot? +
You should call get_lead_details using their identifier. This gives you the most complete picture, showing who they are and what information was captured during their conversation.
What steps should I take to verify my permissions after running `list_bots` on ChatGen MCP? +
You need to check your account scope using the list_teams tool. This confirms which organizational teams and data segments your agent can access, preventing unauthorized attempts to manage leads or bots.
If I accidentally run the `delete_bot` tool, is there a way to restore the chatbot configuration? +
No. The delete_bot function performs an irreversible deletion of the bot from ChatGen's system immediately upon execution. Always test destructive commands in a controlled environment first.
Using `list_bots`, how do I compare detailed metadata across multiple chatbots? +
The output of list_bots provides the full configuration data for every bot. You must process this structured JSON data within your AI client to effectively compare specific settings or versions.
Is there a rate limit if I try to query many leads using `list_leads`? +
Yes, ChatGen enforces standard API rate limits. If you hit the limit while listing leads, your agent will receive an HTTP 429 error. Implement exponential backoff in your workflow for bulk querying.
Can I list all my active chatbots using my AI agent? +
Yes! Use the list_bots tool to retrieve a comprehensive list of all bots configured in your ChatGen account.
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.
Is it possible to update a bot's name through this integration? +
Yes, you can use the update_bot action to modify the name or other attributes of an existing chatbot.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.