How do I know which region to select?

If your Opsgenie URL ends in `.eu`, select the EU region. Otherwise, use the default US region. This ensures the agent calls the correct API endpoints for your account.

Can I acknowledge multiple alerts at once?

While the tools handle alerts individually, you can ask the AI agent to 'Acknowledge all open alerts with priority P1' and it will process them sequentially for you.

Does this support Major Incidents as well as Alerts?

Yes! Use the `create_incident` and `list_incidents` tools to manage higher-level response efforts beyond standard technical alerts.

Opsgenie MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Opsgenie
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Opsgenie 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({
        "opsgenie": {
            "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 Opsgenie, 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 Opsgenie MCP Server

Connect your Opsgenie account to any AI agent and take full control of your incident response workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Opsgenie through native MCP adapters. Connect 11 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

Alert Management — Create, acknowledge, and close alerts. Add notes to the activity log to keep the team informed.
Incident Coordination — Create and track major incidents with priority levels to mobilize the right people quickly.
On-Call Visibility — Instantly check who is on-call for any schedule to route issues to the correct responder.
Schedule Overview — List all your on-call schedules and rotations to maintain a clear view of team availability.
Query & Audit — List alerts and incidents using powerful queries to audit past events or find active issues.

The Opsgenie MCP Server exposes 11 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 Opsgenie to LangChain via MCP

Follow these steps to integrate the Opsgenie 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 11 tools from Opsgenie via MCP

Why Use LangChain with the Opsgenie MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Opsgenie 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 Opsgenie queries for multi-turn workflows

Opsgenie + LangChain Use Cases

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

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

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

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

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

Opsgenie MCP Tools for LangChain (11)

These 11 tools become available when you connect Opsgenie to LangChain via MCP:

acknowledge_alert

Acknowledge an alert

add_note

Add a note to an alert

close_alert

Close an alert

create_alert

Create a new Opsgenie alert

create_incident

Create a new incident

get_alert

Get details for a specific alert

get_incident

Get details for a specific incident

get_who_is_on_call

Get current on-call users for a schedule

list_alerts

List Opsgenie alerts

list_incidents

List Opsgenie incidents

list_schedules

List all on-call schedules

Example Prompts for Opsgenie in LangChain

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

"List all currently open P1 alerts."

"Acknowledge alert 4930 and add a note saying 'I am investigating the connection pool limits'."

"Who is currently on-call for the 'SRE-Primary' schedule?"

Troubleshooting Opsgenie MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Opsgenie + LangChain FAQ

Common questions about integrating Opsgenie 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.