Hudu MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Hudu through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Hudu "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Hudu?"
)
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 Hudu MCP Server
Empower your AI agents to interact with your Hudu IT documentation. This MCP server allows you to list companies, retrieve asset details, manage contacts, view knowledge base articles, and access stored passwords directly through the Hudu API. Ideal for automating MSP workflows and IT management.
Pydantic AI validates every Hudu tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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.
The Hudu MCP Server exposes 10 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.
How to Connect Hudu to Pydantic AI via MCP
Follow these steps to integrate the Hudu MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Hudu with type-safe schemas
Why Use Pydantic AI with the Hudu MCP Server
Pydantic AI provides unique advantages when paired with Hudu 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 Hudu integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Hudu connection logic from agent behavior for testable, maintainable code
Hudu + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Hudu MCP Server delivers measurable value.
Type-safe data pipelines: query Hudu with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Hudu tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Hudu and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Hudu responses and write comprehensive agent tests
Hudu MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Hudu to Pydantic AI via MCP:
get_company
Retrieves details for a specific company
list_activity_logs
Lists activity logs
list_articles
Lists knowledge base articles
list_assets
Lists documented assets
list_companies
Lists all companies in Hudu
list_contacts
Lists contacts across all companies
list_networks
Lists documented networks
list_passwords
Lists stored passwords
list_procedures
Lists documented procedures
list_websites
Lists monitored websites
Example Prompts for Hudu in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Hudu immediately.
"List all companies documented in Hudu."
"Show me assets for company ID 123."
"Find knowledge base articles related to backup procedures."
Troubleshooting Hudu MCP Server with Pydantic AI
Common issues when connecting Hudu to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHudu + Pydantic AI FAQ
Common questions about integrating Hudu 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Hudu with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Hudu to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.