Can my AI automatically acknowledge an incident so my phone stops ringing?

Yes! Running the `acknowledge_incident` capability pushes a verified API command halting escalation cycles (like SMS and phone calls) natively while you debug.

Is it possible to see the exact HTTP response body or headers that caused a monitor to fail?

Yes, pulling details via `get_incident` exposes the raw nested trace containing the root cause payloads and server errors Better Stack historically received when the check failed.

Can the agent create new monitors automatically?

No. The integration focuses safely on observation, alerting resolution, and tracking currently. Creation endpoints represent mutation vectors decoupled to ensure you preserve billing and account structure intentionally.

Better Stack MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Better Stack
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Better Stack through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Better Stack "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Better Stack?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Better Stack MCP Server

Connect your Better Stack (Better Uptime) account to any AI agent and empower it to act as your Level 1 Site Reliability Engineer (SRE). Let your AI diagnose incidents, manage escalations, and audit monitoring configs securely via conversation.

Pydantic AI validates every Better Stack 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.

What you can do

Incident Response — Rapidly list firing incidents, inspect technical downtime payloads, acknowledge alerts, and force resolve states inline
Uptime Monitors — Fetch exact definitions of active HTTP endpoint pings, DNS probes, and latency constraints across your fleet
Cron Heartbeats — Investigate passive tracking endpoints validating background workers and server limits
On-Call Management — Expose active shifts and team schedules to determine explicitly who is getting paged in real-time
Status Pages — Read configured public dashboards tracking your global infrastructure

The Better Stack 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 Better Stack to Pydantic AI via MCP

Follow these steps to integrate the Better Stack 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 Better Stack with type-safe schemas

Why Use Pydantic AI with the Better Stack MCP Server

Pydantic AI provides unique advantages when paired with Better Stack 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 Better Stack integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Better Stack connection logic from agent behavior for testable, maintainable code

Better Stack + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Better Stack MCP Server delivers measurable value.

Type-safe data pipelines: query Better Stack with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Better Stack tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Better Stack and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Better Stack responses and write comprehensive agent tests

Better Stack MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Better Stack to Pydantic AI via MCP:

acknowledge_incident

Acknowledge an ongoing explicit incident halting paging

get_heartbeat

Get explicit details of a passive heartbeat node

get_incident

Retrieve the native timeline payload of an explicit incident

get_monitor

Get full details of a specific Better Stack monitor

list_heartbeats

List all configured cron heartbeats securely

list_incidents

List all explicit incidents on Better Stack

list_monitors

List all monitors on Better Stack (Better Uptime)

list_on_call

List exact On-Call routing calendars

list_status_pages

List all explicit Status Pages

resolve_incident

Force resolve a specific incident

Example Prompts for Better Stack in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Better Stack immediately.

"List any active unresolved incidents going on right now."

"Who is currently on-call for the main engineering shift?"

"Check the detailed root cause of passed Incident #8012."

Troubleshooting Better Stack MCP Server with Pydantic AI

Common issues when connecting Better Stack to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Better Stack + Pydantic AI FAQ

Common questions about integrating Better Stack MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Better Stack MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.