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Hexometer MCP Server for LangChain 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Hexometer through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
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({
        "hexometer": {
            "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 Hexometer, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Hexometer
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Hexometer MCP Server

Connect your Hexometer account to any AI agent and take full control of your website monitoring and technical health through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Hexometer through native MCP adapters. Connect 11 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

  • Performance Analysis — Trigger on-demand page speed tests for desktop and mobile devices to ensure a fast user experience.
  • Asset Monitoring — Identify heavy scripts, large images, and detected JavaScript errors affecting your site's health.
  • Site Oversight — List all monitored properties and retrieve overall health scores and security statuses.
  • Availability Tracking — Access historical uptime statistics and monitor recent alerts for service interruptions.
  • SEO Auditing — Perform on-page SEO scans to analyze meta tags, headers, and broken link status.
  • Maintenance & Security — Verify SSL certificate expiry and monitor general security posture across your digital assets.

The Hexometer MCP Server exposes 11 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 Hexometer to LangChain via MCP

Follow these steps to integrate the Hexometer MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 11 tools from Hexometer via MCP

Why Use LangChain with the Hexometer MCP Server

LangChain provides unique advantages when paired with Hexometer through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Hexometer MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Hexometer queries for multi-turn workflows

Hexometer + LangChain Use Cases

Practical scenarios where LangChain combined with the Hexometer MCP Server delivers measurable value.

01

RAG with live data: combine Hexometer tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Hexometer, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Hexometer tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Hexometer tool call, measure latency, and optimize your agent's performance

Hexometer MCP Tools for LangChain (11)

These 11 tools become available when you connect Hexometer to LangChain via MCP:

01

check_broken_links

List detected 404 errors and broken links for a property

02

check_page_errors

Scan a page for JS errors and heavy assets

03

check_speed_desktop

Returns scores and asset details. Analyze desktop page speed for a specific URL

04

check_speed_mobile

Analyze mobile page speed for a specific URL

05

get_security_status

Retrieve SSL and general security health for a site

06

get_site_health

Get the overall health status for a specific property

07

get_uptime_stats

Get historical uptime statistics for a site

08

list_monitored_sites

List all websites (properties) tracked in Hexometer

09

list_recent_alerts

List recent monitoring alerts and notifications

10

list_wordpress_syncs

List active WordPress plugin syncs

11

run_seo_audit

Perform an on-demand SEO audit for a URL

Example Prompts for Hexometer in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Hexometer immediately.

01

"Analyze the mobile page speed for 'https://example.com'."

02

"Show me the health status for property ID 'prop_123'."

03

"Run an SEO audit for 'https://myblog.com/post-1'."

Troubleshooting Hexometer MCP Server with LangChain

Common issues when connecting Hexometer to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Hexometer + LangChain FAQ

Common questions about integrating Hexometer MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Hexometer to LangChain

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.