HetrixTools MCP Server for Pydantic AI 11 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HetrixTools 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 HetrixTools "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in HetrixTools?"
)
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 HetrixTools MCP Server
Connect your HetrixTools account to any AI agent and take full control of your infrastructure monitoring and IP reputation management through natural conversation.
Pydantic AI validates every HetrixTools tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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
- Uptime Oversight — List all uptime monitors, check status, and retrieve detailed availability reports for your websites and services.
- Blacklist Monitoring — List and manage monitors for IP addresses and domains across 90+ global blacklists.
- On-Demand Checks — Perform real-time blacklist scans for any IPv4 address or domain directly from the chat.
- Maintenance Control — Quickly toggle maintenance modes for your monitors to avoid false alerts during updates.
- Resource Tracking — Monitor your account's API and monitor usage to stay within your plan limits.
- Team Alerts — Access and manage your contact lists to ensure the right people are notified of outages.
The HetrixTools MCP Server exposes 11 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 HetrixTools to Pydantic AI via MCP
Follow these steps to integrate the HetrixTools 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 11 tools from HetrixTools with type-safe schemas
Why Use Pydantic AI with the HetrixTools MCP Server
Pydantic AI provides unique advantages when paired with HetrixTools 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 HetrixTools integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your HetrixTools connection logic from agent behavior for testable, maintainable code
HetrixTools + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the HetrixTools MCP Server delivers measurable value.
Type-safe data pipelines: query HetrixTools with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple HetrixTools tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query HetrixTools and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock HetrixTools responses and write comprehensive agent tests
HetrixTools MCP Tools for Pydantic AI (11)
These 11 tools become available when you connect HetrixTools to Pydantic AI via MCP:
add_uptime_monitor
Pass the configuration as a JSON string in "body_json" (requires type, target, label, and contact ID). Create a new uptime monitor
check_domain_blacklist
Useful for identifying mail delivery issues. Perform an on-demand blacklist check for a domain
check_ip_blacklist
Note: results may take a few minutes to process. Perform an on-demand blacklist check for an IPv4 address
delete_uptime_monitor
Remove an uptime monitor
get_account_usage
Retrieve current API and resource usage statistics
list_blacklist_monitors
List all IP and domain blacklist monitors
list_bulk_reports
List all generated bulk reports
list_contact_lists
List notification contact lists
list_uptime_monitors
Use this to check the current health of your infrastructure. List all uptime monitors
list_uptime_reports
Retrieve detailed uptime reports for a monitor
set_maintenance_mode
Modes: 1 (Normal), 2 (Maint. with notifications), 3 (Maint. without notifications). Toggle maintenance mode for an uptime monitor
Example Prompts for HetrixTools in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with HetrixTools immediately.
"List all my uptime monitors and their current status."
"Check if the IP address 1.2.3.4 is blacklisted."
"Put monitor ID 'm123' into maintenance mode without notifications."
Troubleshooting HetrixTools MCP Server with Pydantic AI
Common issues when connecting HetrixTools to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHetrixTools + Pydantic AI FAQ
Common questions about integrating HetrixTools 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 HetrixTools 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 HetrixTools to Pydantic AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.