Uptime.com MCP Server for LangChainGive LangChain instant access to 12 tools to Create Check, Delete Check, Get Account Info, and more
LangChain is the leading Python framework for composable LLM applications. Connect Uptime.com 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 App Connector for LangChain
The Uptime.com app connector for LangChain is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"uptimecom": {
"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 Uptime.com, 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 Uptime.com MCP Server
Connect your Uptime.com monitoring account to any AI agent and simplify how you monitor site reliability, manage alerts, and perform root cause analysis through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Uptime.com 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
- Check Management — List, create, and update monitor checks (HTTP, API, ICMP) to ensure your services are always online.
- Alert Oversight — Retrieve a history of recent UP/DOWN transitions and stay notified of critical outages.
- Incident Analysis — Get detailed Root Cause Analysis (RCA) for alerts to understand why a failure occurred.
- Performance Metrics — Query uptime statistics and performance data for any specific monitor check.
- Team Coordination — List contact groups and third-party integrations (Slack, PagerDuty) to manage notification flows.
- Infrastructure Monitoring — List global monitoring nodes to understand your testing coverage.
The Uptime.com 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.
All 12 Uptime.com tools available for LangChain
When LangChain connects to Uptime.com through Vinkius, your AI agent gets direct access to every tool listed below — spanning uptime-monitoring, site-reliability, api-monitoring, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
g., HTTP, API). Create a new check
Delete a monitor check
com account. Get account profile
Get check details
Get check statistics
Get alert RCA
List all monitor checks
List contact groups
). List active integrations
List global nodes
List recent monitor alerts
Update a check
Connect Uptime.com to LangChain via MCP
Follow these steps to wire Uptime.com into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the 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 Uptime.com MCP Server
LangChain provides unique advantages when paired with Uptime.com through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Uptime.com 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 Uptime.com queries for multi-turn workflows
Uptime.com + LangChain Use Cases
Practical scenarios where LangChain combined with the Uptime.com MCP Server delivers measurable value.
RAG with live data: combine Uptime.com tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Uptime.com, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Uptime.com tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Uptime.com tool call, measure latency, and optimize your agent's performance
Example Prompts for Uptime.com in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Uptime.com immediately.
"List all active monitor checks in my account."
"Show me the recent alerts history."
"What is the uptime percentage for the 'Main Website' check?"
Troubleshooting Uptime.com MCP Server with LangChain
Common issues when connecting Uptime.com to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersUptime.com + LangChain FAQ
Common questions about integrating Uptime.com 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.