Uptime.com MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Check, Delete Check, Get Account Info, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Uptime.com 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 Uptime.com 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 Uptime.com "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Uptime.com?"
)
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 Uptime.com MCP Server
Connect your Uptime.com monitoring account to any AI agent and simplify how you monitor site reliability, manage alerts, and perform root cause analysis through natural conversation.
Pydantic AI validates every Uptime.com 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
- Check Management — List, create, and update monitor checks (HTTP, API, ICMP) to ensure your services are always online.
- Alert Oversight — Retrieve a history of recent UP/DOWN transitions and stay notified of critical outages.
- Incident Analysis — Get detailed Root Cause Analysis (RCA) for alerts to understand why a failure occurred.
- Performance Metrics — Query uptime statistics and performance data for any specific monitor check.
- Team Coordination — List contact groups and third-party integrations (Slack, PagerDuty) to manage notification flows.
- Infrastructure Monitoring — List global monitoring nodes to understand your testing coverage.
The Uptime.com 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 Uptime.com tools available for Pydantic AI
When Pydantic AI connects to Uptime.com through Vinkius, your AI agent gets direct access to every tool listed below — spanning uptime-monitoring, site-reliability, api-monitoring, 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.
g., HTTP, API). Create a new check
Delete a monitor check
com account. Get account profile
Get check details
Get check statistics
Get alert RCA
List all monitor checks
List contact groups
). List active integrations
List global nodes
List recent monitor alerts
Update a check
Connect Uptime.com to Pydantic AI via MCP
Follow these steps to wire Uptime.com 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 Uptime.com MCP Server
Pydantic AI provides unique advantages when paired with Uptime.com 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 Uptime.com integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Uptime.com connection logic from agent behavior for testable, maintainable code
Uptime.com + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Uptime.com MCP Server delivers measurable value.
Type-safe data pipelines: query Uptime.com with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Uptime.com tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Uptime.com and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Uptime.com responses and write comprehensive agent tests
Example Prompts for Uptime.com in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Uptime.com immediately.
"List all active monitor checks in my account."
"Show me the recent alerts history."
"What is the uptime percentage for the 'Main Website' check?"
Troubleshooting Uptime.com MCP Server with Pydantic AI
Common issues when connecting Uptime.com to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiUptime.com + Pydantic AI FAQ
Common questions about integrating Uptime.com 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.