How do I declare a new incident using the agent?

You can use the 'create_incident' tool. Simply provide a name and optionally a summary and severity level. The agent will trigger the declaration in FireHydrant and return the new incident details.

Can I see recent infrastructure changes using this server?

Yes! The 'list_change_events' tool retrieves a history of recent changes. This is extremely useful for identifying potential root causes during an active incident investigation.

How do I add a status update to an ongoing incident?

Use the 'add_incident_note' tool. You'll need the Incident ID and the text of your update. The note will be immediately posted to the incident's timeline for all responders to see.

FireHydrant MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: FireHydrant
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect FireHydrant 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({
        "firehydrant": {
            "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 FireHydrant, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 FireHydrant MCP Server

Connect your FireHydrant account to any AI agent and automate your incident management workflows through the Model Context Protocol (MCP). FireHydrant provides a comprehensive platform for declaring incidents, managing service catalogs, and coordinating team responses. Now, you can manage your site reliability and incident response directly through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with FireHydrant through native MCP adapters. Connect 12 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

Incident Management — Declare new incidents, list active ones, and update milestones or fields instantly.
Service Catalog — Access and list all defined services to understand impact and dependencies during an outage.
Team Coordination — List and manage responder teams to ensure the right people are assigned to every incident.
Timeline Updates — Post notes and status updates directly to an incident's timeline from your chat interface.
Runbook Execution — List active runbooks to understand the automated workflows available for your response.
Post-Incident Analysis — Retrieve retrospectives and post-incident reviews to facilitate learning and improvement.
Change Tracking — List change events to identify recent infrastructure or code changes that might have triggered an incident.

The FireHydrant MCP Server exposes 12 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 FireHydrant to LangChain via MCP

Follow these steps to integrate the FireHydrant 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 12 tools from FireHydrant via MCP

Why Use LangChain with the FireHydrant MCP Server

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

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

FireHydrant + LangChain Use Cases

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

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

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

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

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

FireHydrant MCP Tools for LangChain (12)

These 12 tools become available when you connect FireHydrant to LangChain via MCP:

add_incident_note

Add note to incident

create_incident

Create a new incident

get_incident

Get incident details

get_service

Get service details

get_team

Get team details

list_change_events

List change events

list_incidents

List incidents

list_retrospectives

List retrospectives

list_runbooks

List active runbooks

list_services

List service catalog

list_teams

List responder teams

update_incident

Update an incident

Example Prompts for FireHydrant in LangChain

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

"List all currently active incidents in FireHydrant."

"Declare a new sev-2 incident: 'Redis Connection Spikes'."

"Add a note to incident 'inc_123': 'Investigating potential cache invalidation issue'."

Troubleshooting FireHydrant MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

FireHydrant + LangChain FAQ

Common questions about integrating FireHydrant 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.