UptimeRobot MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect UptimeRobot through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
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({
"uptimerobot": {
"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 UptimeRobot, 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 UptimeRobot MCP Server
Connect your UptimeRobot account to any AI agent to actively manage your website monitors, alert contacts, and response times directly from your conversational workspace.
LangChain's ecosystem of 500+ components combines seamlessly with UptimeRobot through native MCP adapters. Connect 10 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
- Uptime Monitors — List all configured services natively, retrieve individual historical logs, create new endpoints to monitor (HTTP, Ping), edit configurations, or permanently delete monitors.
- Alert Contacts — Browse your configured alert notification targets (Email, Slack, Webhooks), create new distribution recipients, and manage who gets notified upon downtime.
- Metrics & History — Reset historical statistics for specific monitors quickly or retrieve the raw data array of up ratios and response times to graph or analyze.
- Account Setup — Extract UptimeRobot account usage to discover your remaining monitor slots limits and overall subscription features.
The UptimeRobot MCP Server exposes 10 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 UptimeRobot to LangChain via MCP
Follow these steps to integrate the UptimeRobot 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 10 tools from UptimeRobot via MCP
Why Use LangChain with the UptimeRobot MCP Server
LangChain provides unique advantages when paired with UptimeRobot through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine UptimeRobot 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 UptimeRobot queries for multi-turn workflows
UptimeRobot + LangChain Use Cases
Practical scenarios where LangChain combined with the UptimeRobot MCP Server delivers measurable value.
RAG with live data: combine UptimeRobot tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query UptimeRobot, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain UptimeRobot tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every UptimeRobot tool call, measure latency, and optimize your agent's performance
UptimeRobot MCP Tools for LangChain (10)
These 10 tools become available when you connect UptimeRobot to LangChain via MCP:
create_alert_contact
Type 2=Email, 11=Slack. Creates a new alert notification target
create_uptime_monitor
Provide a friendly name, URL, and type (1=HTTP, 3=Ping). Creates a new uptime monitor
delete_alert_contact
This action is irreversible. Permanently deletes an alert contact
delete_uptime_monitor
This action is irreversible. Permanently deletes an uptime monitor
get_account_info
Retrieves UptimeRobot account usage and limits
get_monitor_details
Retrieves full details for a specific UptimeRobot monitor
list_alert_contacts
Lists all configured alert notification targets (Email, Slack, Webhook, etc.)
list_monitors
Returns pass/fail status, up ratio, and response times. Lists all uptime monitors configured in UptimeRobot
reset_monitor_logs
Resets monitoring logs and statistics for a specific monitor
update_uptime_monitor
Updates an existing monitor configuration
Example Prompts for UptimeRobot in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with UptimeRobot immediately.
"List all my monitors and highlight any that are currently down."
"Create an HTTP monitor for our newly deployed marketing site (`https://marketing.vinkius.com/`)."
"Delete alert contact 'old-devops@acme.com'. Our team rotated users."
Troubleshooting UptimeRobot MCP Server with LangChain
Common issues when connecting UptimeRobot to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersUptimeRobot + LangChain FAQ
Common questions about integrating UptimeRobot 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?
Connect UptimeRobot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect UptimeRobot to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.