How to Use the BotPenguin MCP in Pydantic AI

Q: Does Pydantic AI handle the BotPenguin tag listing properly?

Yes, listtags returns a list that validates against standard Pydantic types. It makes it easy to handle your contact labels in a type-safe way.

Q: Can I use BotPenguin to list agents in my Pydantic AI workflow?

You can. listagents gives you a typed list of your human operators. This is perfect for building logic that checks for agent availability before routing.

Build type-safe support agents with Pydantic AI and the BotPenguin MCP server.

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Connect BotPenguin MCP to Pydantic AI

Create your Vinkius account to connect BotPenguin to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup BotPenguin with Pydantic AI

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Validated chat data for Pydantic AI

Get strict type guarantees when you pull data from your support queue. Using `list_chats` ensures your agent receives predictable data structures. If you need to review a conversation, `get_chat_history` returns the logs. Pydantic AI will validate every field to ensure your agent doesn't crash on bad data.

Type-safe contact retrieval for Pydantic AI

Search your leads without worrying about schema drift. The `list_contacts` tool works perfectly with Pydantic models to keep your input clean. Need more detail? Call `get_contact` to verify a specific person. You get a typed response every single time.

Reliable messaging tools for Pydantic AI

Send messages to your users with the confidence that the data is correct. `send_message` fits right into your agent's validated toolset. Use `send_otp` for secure actions. It’s built to handle verification requests while maintaining the type safety your application requires.

Setup guide

Set up BotPenguin MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "botpenguin-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to BotPenguin tools.",
)

result = await agent.run("List recent BotPenguin transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BotPenguin. 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.

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Common questions about BotPenguin MCP in Pydantic AI

Install the slim package and use the MCPToolset class. It handles the connection to your Vinkius endpoint and maps tools to your agent automatically.

Yes, `list_tags` returns a list that validates against standard Pydantic types. It makes it easy to handle your contact labels in a type-safe way.

You can. `list_agents` gives you a typed list of your human operators. This is perfect for building logic that checks for agent availability before routing.

Vinkius operates as a transparent proxy. We don't store your chat content, and the data is cleared from the sandbox immediately after the agent finishes its task.

Names are processed as standard strings within your secure session. We use isolated memory buffers for all MCP server traffic to prevent unauthorized access.

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