Hudu MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Asset, Create Company, Get Article, and more
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 App Connector for Pydantic AI
The Hudu app connector for Pydantic AI is a standout in the Developer Tools category — giving your AI agent 12 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 Hudu "
"(12 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
Connect your Hudu instance to any AI agent and manage your IT documentation through natural conversation.
Pydantic AI validates every Hudu tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Company Management — List all client companies, inspect profiles, and create new company records
- Asset Tracking — Browse all assets (servers, workstations, network devices), filter by company, inspect details, and create new asset records with tags
- Password Vault — List stored passwords filtered by company, and securely retrieve individual password entries with secrets
- Knowledge Base — Browse all articles and read full content with metadata for any specific article
- Procedures & Checklists — List all procedures filtered by company and inspect detailed steps for operational checklists
The Hudu MCP Server exposes 12 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 12 Hudu tools available for Pydantic AI
When Pydantic AI connects to Hudu through Vinkius, your AI agent gets direct access to every tool listed below — spanning it-documentation, asset-tracking, password-vault, 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.
Requires asset name and company ID. Create a new asset
Requires a name. Create a new company
Get details for a specific article
Get details for a specific asset
Get details for a specific company
Get details for a specific password
Get details for a specific procedure
List knowledge base articles
Can be filtered by company ID. List assets
List all companies in Hudu
Can be filtered by company ID. List passwords
Can be filtered by company ID. List procedures
Connect Hudu to Pydantic AI via MCP
Follow these steps to wire Hudu 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 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
Example Prompts for Hudu in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Hudu immediately.
"Show all companies and the assets for 'Acme Corp', then retrieve the admin password."
"Search the knowledge base for articles about VPN setup and show the firewall procedures."
"Create a new company 'TechStart Inc' and add a server asset to it."
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.