Bring Conversational Marketing
to Pydantic AI
Learn how to connect ChatGen to Pydantic AI 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 Pydantic AI?
Pydantic AI validates every ChatGen tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ChatGen integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your ChatGen connection logic from agent behavior for testable, maintainable code
ChatGen in Pydantic AI
ChatGen and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect ChatGen to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your ChatGen MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai