Gatus (Health Dashboard) MCP Server for LangChainGive LangChain instant access to 4 tools to Get Endpoint Health, Get Endpoint Stats, Get Metrics, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Gatus (Health Dashboard) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Gatus (Health Dashboard) MCP Server for LangChain is a standout in the Cloud Infrastructure category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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({
"gatus-health-dashboard": {
"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 Gatus (Health Dashboard), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Gatus (Health Dashboard) MCP Server
Connect your Gatus health dashboard to any AI agent to monitor your services and infrastructure through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Gatus (Health Dashboard) through native MCP adapters. Connect 4 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
- Global Visibility — List all monitored endpoints and their current health status across your entire infrastructure.
- Deep Health Inspection — Drill down into specific services to see recent results and status history using slugified keys.
- Performance Statistics — Retrieve performance metrics for individual endpoints to identify latency or reliability issues.
- Metrics Export — Access raw Prometheus-compatible metrics for deep technical analysis and custom reporting.
The Gatus (Health Dashboard) MCP Server exposes 4 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 Gatus (Health Dashboard) tools available for LangChain
When LangChain connects to Gatus (Health Dashboard) through Vinkius, your AI agent gets direct access to every tool listed below — spanning service-health, uptime-monitoring, infrastructure-alerts, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get endpoint health on Gatus (Health Dashboard)
Get health status and recent results for a specific endpoint
Get endpoint stats on Gatus (Health Dashboard)
Get performance statistics for a specific endpoint
Get metrics on Gatus (Health Dashboard)
Get Prometheus-compatible metrics from Gatus
List endpoints on Gatus (Health Dashboard)
Get all monitored endpoints and their current status
Connect Gatus (Health Dashboard) to LangChain via MCP
Follow these steps to wire Gatus (Health Dashboard) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Gatus (Health Dashboard) MCP Server
LangChain provides unique advantages when paired with Gatus (Health Dashboard) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Gatus (Health Dashboard) 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 Gatus (Health Dashboard) queries for multi-turn workflows
Gatus (Health Dashboard) + LangChain Use Cases
Practical scenarios where LangChain combined with the Gatus (Health Dashboard) MCP Server delivers measurable value.
RAG with live data: combine Gatus (Health Dashboard) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Gatus (Health Dashboard), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Gatus (Health Dashboard) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Gatus (Health Dashboard) tool call, measure latency, and optimize your agent's performance
Example Prompts for Gatus (Health Dashboard) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Gatus (Health Dashboard) immediately.
"List all monitored endpoints and their current status."
"What is the health status of the 'core-api' endpoint?"
"Show me the performance statistics for 'database-service'."
Troubleshooting Gatus (Health Dashboard) MCP Server with LangChain
Common issues when connecting Gatus (Health Dashboard) to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGatus (Health Dashboard) + LangChain FAQ
Common questions about integrating Gatus (Health Dashboard) MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
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