Can I check if a specific website is down using the agent?

Yes! Use the `list_monitors` tool to see the status of all your monitored URLs. You can also use `get_monitor` with a specific ID to see its current status and last checked timestamp.

How do I see who is currently on-call?

Simply ask the agent to `list_on_calls`. It will retrieve the current schedules and rotations, showing you who is responsible for incident response right now.

Does the integration allow me to create a new heartbeat monitor?

Currently, the toolset focuses on managing monitors and retrieving incident/on-call data. You can list and inspect heartbeats, but for creating new monitors with complex notification rules, we recommend using the Better Stack dashboard.

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

Name: Better Stack
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Better Stack through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "better-stack": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Better Stack, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 (formerly Better Uptime) account to any AI agent and orchestrate your infrastructure monitoring and incident management through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Better Stack through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Uptime Monitoring — List, create, and manage all your HTTP, Ping, and Keyword monitors to ensure service availability.
Incident Response — Retrieve real-time updates on active incidents and historical reports for post-mortems.
On-Call Coordination — Access on-call schedules and rotations to see who is responsible for system health.
Heartbeat Management — Monitor cron jobs and recurring tasks through heartbeat monitors.
Status Page Oversight — List and verify your public status pages directly from your workspace.

The Better Stack MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 LangChain via MCP

Follow these steps to integrate the Better Stack MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Better Stack via MCP

Why Use LangChain with the Better Stack MCP Server

LangChain provides unique advantages when paired with Better Stack through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Better Stack MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Better Stack queries for multi-turn workflows

Better Stack + LangChain Use Cases

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

RAG with live data: combine Better Stack tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Better Stack, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Better Stack tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Better Stack tool call, measure latency, and optimize your agent's performance

Better Stack MCP Tools for LangChain (10)

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

create_monitor

Create a new uptime monitor

delete_monitor

Delete a monitor

get_incident

Get details of a specific incident

get_monitor

Get specific monitor details

list_heartbeats

List all heartbeat monitors

list_incidents

List recent uptime incidents

list_monitors

List all uptime monitors

list_on_calls

List on-call schedules and rotations

list_status_pages

List public status pages

update_monitor

Update an existing monitor

Example Prompts for Better Stack in LangChain

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

"List all monitors that are currently down."

"Show me the on-call schedule for this week."

"Check status of heartbeat 'daily-backup'."

Troubleshooting Better Stack MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Better Stack + LangChain FAQ

Common questions about integrating Better Stack MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.