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How to Use the Uptime.com MCP in LangChain

Build complex uptime monitoring pipelines using LangChain.

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Works with every AI agent you already use

…and any MCP-compatible client

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LangChain

Connect Uptime.com MCP to LangChain

Create your Vinkius account to connect Uptime.com to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Orchestrate full status checks.

An agent can start by calling `list_checks` to get all current monitor configurations. Next, it uses the check ID to call `get_check_stats`, which returns performance metrics you need. The agent then passes those stats into a third tool call, perhaps using `get_root_cause_analysis`. This allows your multi-step reasoning chain to build an actionable report without needing manual data transfers.

Reacting to recent alerts.

You can design a workflow where the agent first calls `list_recent_alerts` to identify issues. Then, it might check the details using `get_check` for a specific service. The final step involves running logic to update the status by calling `update_check`, ensuring your system reacts automatically when downtime hits.

Managing contact groups and integrations.

Need to know who gets notified? Start by listing all available contact lists with `list_contact_groups`. From there, you can call `list_integrations` to see what systems are connected. This sequence lets your agent gather setup data before performing any actions. You'll have a full picture of the system dependencies in one continuous run.

Setup guide

Set up Uptime.com MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Uptime.com tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

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

async with MultiServerMCPClient({
    "uptimecom-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Uptime.com transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Uptime.com. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Uptime.com MCP in LangChain

Your LangChain agent treats each uptime check function like a node in a graph. It calls `get_check_stats`, gets the data, and immediately uses that result to decide what tool to call next.
It accesses operational data like check statuses, recent alerts (`list_recent_alerts`), and configuration details (e.g., which contact groups are active). It's all structured for programmatic use.
Absolutely. You can chain multiple tools together—for example, listing checks, getting stats, and then creating a new check (`create_check`) based on the findings.
The MCP Server handles endpoint token authentication for calls to Uptime.com. You should monitor your usage limits specific to the Vinkius platform.
This server primarily touches operational and configuration data, including check details, alert records, contact groups, and global monitoring nodes.

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