Bring Conversational Marketing
to LangChain
Learn how to connect ChatGen to LangChain and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the ChatGen MCP Server?
Connect your ChatGen account to any AI agent and simplify your conversational marketing and lead management through natural conversation.
What you can do
- Bot Management — List all your chatbots, retrieve detailed configuration metadata, and create or update bots programmatically
- Lead Generation — Query and analyze leads captured by your bots to sync with your sales workflows
- Conversation Tracking — Monitor recent chat sessions to understand user interactions and bot performance
- Team Insights — List organizational teams to understand your account structure
How it works
1. Subscribe to this server
2. Enter your ChatGen API Key from your dashboard
3. Start managing your chatbot resources from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (9)
Create a new chatbot
Delete a bot
Get details for a specific bot
Get details for a specific lead
List all ChatGen bots
List recent bot conversations
List captured leads
List organizational teams
Update an existing bot
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with ChatGen through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine ChatGen MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across ChatGen queries for multi-turn workflows
ChatGen in LangChain
ChatGen and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect ChatGen to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ChatGen in LangChain
The ChatGen MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
ChatGen for LangChain
Every tool call from LangChain to the ChatGen MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters