How to Use the Uptime.com MCP in LangChain
Build complex uptime monitoring pipelines using LangChain.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Uptime.com MCP to LangChain
Create your Vinkius account to connect Uptime.com to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Orchestrate full status checks.
An agent can start by calling `list_checks` to get all current monitor configurations. Next, it uses the check ID to call `get_check_stats`, which returns performance metrics you need. The agent then passes those stats into a third tool call, perhaps using `get_root_cause_analysis`. This allows your multi-step reasoning chain to build an actionable report without needing manual data transfers.
Reacting to recent alerts.
You can design a workflow where the agent first calls `list_recent_alerts` to identify issues. Then, it might check the details using `get_check` for a specific service. The final step involves running logic to update the status by calling `update_check`, ensuring your system reacts automatically when downtime hits.
Managing contact groups and integrations.
Need to know who gets notified? Start by listing all available contact lists with `list_contact_groups`. From there, you can call `list_integrations` to see what systems are connected. This sequence lets your agent gather setup data before performing any actions. You'll have a full picture of the system dependencies in one continuous run.
Set up Uptime.com MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes Uptime.com tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"uptimecom-mcp": {
"transport": "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,
)
result = await agent.ainvoke({
"messages": "List recent Uptime.com transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Uptime.com. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Uptime.com MCP in LangChain
Use it with your favorite AI tools
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