How to Use the Instatus (Status Pages API) MCP in LangChain

Build incident response chains with Instatus (Status Pages API) and LangChain for automated, reliable status updates.

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Connect Instatus (Status Pages API) MCP to LangChain

Create your Vinkius account to connect Instatus (Status Pages API) 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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Setup Instatus (Status Pages API) with LangChain

Ask AI about this MCP

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Claude

Perplexity

Chained incident management

Connect your monitoring alerts to `create_incident` in a multi-step pipeline. Your agent triggers the status page immediately when a service fails, linking the alert directly to the public communication. This keeps your response time low and your team focused on the fix. The chain handles the logic, moving from incident detection to status page creation without manual intervention.

Multi-server status synchronization

Use this MCP Server alongside your database or logging tools to gather context before calling `update_component`. LangChain lets your agent query your logs, verify the outage, and then update the status page. It’s a complete loop that ensures you only report confirmed issues. You control the logic, setting the threshold for when an incident warrants a public update.

Traceable status page updates

Every tool call including `list_maintenances` and `update_maintenance` is logged through your tracing provider. You see exactly what the agent did during an outage, including the inputs and outputs of every Instatus (Status Pages API) tool. This gives you a clear record for post-incident review. You’ll know exactly why a status change occurred and whether the agent acted on the correct data.

Setup guide

Set up Instatus (Status Pages API) MCP in LangChain

Prerequisites

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

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

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

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Instatus (Status Pages API) tool calls through the MCP protocol.
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({
    "instatus-status-pages-api-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 Instatus (Status Pages API) transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Instatus (Status Pages API) MCP in LangChain

Yes. Simply load the tools from the MCP server and pass them to your agent. LangChain handles the tool selection logic based on the intent of your prompt.

The agent decides the order of operations dynamically. If you need to check component status before an update, it calls `list_components` first, then uses that ID for `update_component`.

Yes. Because every tool call is visible in the chain, LangSmith captures the inputs and outputs of your Instatus interactions. This provides full observability into your automated communication.

LangChain allows you to aggregate tools from several servers. You can combine this status page server with your cloud infrastructure tools to build a comprehensive incident response agent.

The incident data lives in Instatus. This server acts as the bridge for your agent to read and write that data, keeping your LangChain state focused on the decision-making process.

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