Hexometer MCP Server for LangChain 11 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
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({
"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())
* 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.
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 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.
The largest ecosystem of integrations, chains, and agents. combine Hexometer 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 Hexometer queries for multi-turn workflows
Hexometer + LangChain Use Cases
Practical scenarios where LangChain combined with the Hexometer MCP Server delivers measurable value.
RAG with live data: combine Hexometer tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Hexometer, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Hexometer tools with web scrapers, databases, and calculators in a single agent run
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:
check_broken_links
List detected 404 errors and broken links for a property
check_page_errors
Scan a page for JS errors and heavy assets
check_speed_desktop
Returns scores and asset details. Analyze desktop page speed for a specific URL
check_speed_mobile
Analyze mobile page speed for a specific URL
get_security_status
Retrieve SSL and general security health for a site
get_site_health
Get the overall health status for a specific property
get_uptime_stats
Get historical uptime statistics for a site
list_monitored_sites
List all websites (properties) tracked in Hexometer
list_recent_alerts
List recent monitoring alerts and notifications
list_wordpress_syncs
List active WordPress plugin syncs
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.
"Analyze the mobile page speed for 'https://example.com'."
"Show me the health status for property ID 'prop_123'."
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHexometer + LangChain FAQ
Common questions about integrating Hexometer 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 Hexometer 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 Hexometer to LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
