How to Use the Hexometer MCP in LangChain

Q: Can LangChain use Hexometer to track site uptime?

Yes. The agent calls getuptimestats to pull live data into your chain. It handles the logic for what happens during a downtime event.

Build automated site health chains in LangChain. Connect Hexometer tools directly to your agent's reasoning loop for real-time monitoring.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Hexometer MCP to LangChain

Create your Vinkius account to connect Hexometer 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.

GDPR Free for Subscribers

Setup Hexometer with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Site Health Checks in LangChain

Chain together diagnostic tools to track your infrastructure. When your agent runs `get_site_health`, it can trigger subsequent actions based on the returned status. Stop checking dashboards manually. Use `get_uptime_stats` to feed historical data into your memory buffers and let the chain decide when to alert your engineering team.

Performance Auditing within LangChain

Evaluate page speed automatically using `check_speed_desktop` and `check_speed_mobile`. Your agent parses these metrics to identify bottlenecks that affect user experience. LangChain handles the tool output as structured data. You can pass these results directly into a summarization chain to generate incident reports without human input.

Proactive SEO and Security Monitoring

Run `run_seo_audit` and `get_security_status` as part of your daily maintenance pipeline. The agent interprets the findings to flag potential vulnerabilities or missing meta tags. Fixing broken links becomes a scripted task. When `check_broken_links` returns a list, the agent iterates through them to update your records or trigger a repair process.

Setup guide

Set up Hexometer MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
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 LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "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 Hexometer tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "hexometer-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 Hexometer transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hexometer. 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.

Connect Hexometer now

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 Hexometer MCP in LangChain

Install the MCP adapters and point your client to the Vinkius endpoint. You then fetch the tools and inject them into your agent's definition.

Yes. The agent calls `get_uptime_stats` to pull live data into your chain. It handles the logic for what happens during a downtime event.

LangSmith logs every tool call made by your agent. You can inspect the inputs and outputs of `check_page_errors` to see exactly what your agent saw.

Tools are stateless. Use a session client or a vector store if you need to keep historical data available for future agent turns.

It accesses your site's public-facing metrics, SEO audit reports, and security headers. No private user data or sensitive database credentials are ever exposed.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript