BotGenuity MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Chat With Bot, Get Chatbot Details, Get Conversation History, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BotGenuity through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The BotGenuity app connector for Pydantic AI is a standout in the Customer Support category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to BotGenuity "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in BotGenuity?"
)
print(result.data)
asyncio.run(main())
* 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
About BotGenuity MCP Server
Connect your BotGenuity account to any AI agent and take full control of your automated customer engagement and chatbot operations through natural conversation.
Pydantic AI validates every BotGenuity tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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.
What you can do
- Bot Orchestration — List and manage all your AI chatbot instances programmatically, retrieving detailed configuration and high-fidelity operational status in real-time
- Lead Capture Intelligence — Access complete directories of leads captured during bot interactions, including high-fidelity contact metadata and conversation context
- Conversation Discovery — Retrieve detailed chat histories and individual message threads to maintain a perfectly coordinated overview of customer needs
- Real-Time Interaction — Programmatically send messages to your chatbots to test performance or integrate bot responses into custom business workflows
- Platform Monitoring — Access chatbot configuration details and monitor account-level connectivity directly through your agent for instant reporting
The BotGenuity MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 BotGenuity tools available for Pydantic AI
When Pydantic AI connects to BotGenuity through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-builder, conversational-ai, digital-assistant, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Send a message to a chatbot and get a response
Get details of a specific chatbot
Get full history for a conversation
List leads captured by a chatbot
List conversations for a chatbot
List all chatbots in your BotGenuity account
Connect BotGenuity to Pydantic AI via MCP
Follow these steps to wire BotGenuity into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the BotGenuity MCP Server
Pydantic AI provides unique advantages when paired with BotGenuity through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your BotGenuity integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your BotGenuity connection logic from agent behavior for testable, maintainable code
BotGenuity + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the BotGenuity MCP Server delivers measurable value.
Type-safe data pipelines: query BotGenuity with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple BotGenuity tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query BotGenuity and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock BotGenuity responses and write comprehensive agent tests
Example Prompts for BotGenuity in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with BotGenuity immediately.
"List all my chatbots in BotGenuity."
"Show the captured leads for chatbot ID 'B123'."
"Ask my 'Customer Hero' bot: 'What are our shipping rates?'."
Troubleshooting BotGenuity MCP Server with Pydantic AI
Common issues when connecting BotGenuity to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiBotGenuity + Pydantic AI FAQ
Common questions about integrating BotGenuity MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.