Hexometer MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hexometer as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Hexometer. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Hexometer?"
)
print(response)
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.
LlamaIndex agents combine Hexometer tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Hexometer MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from Hexometer
Why Use LlamaIndex with the Hexometer MCP Server
LlamaIndex provides unique advantages when paired with Hexometer through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hexometer tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hexometer tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hexometer, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hexometer tools were called, what data was returned, and how it influenced the final answer
Hexometer + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hexometer MCP Server delivers measurable value.
Hybrid search: combine Hexometer real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hexometer to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Hexometer for fresh data
Analytical workflows: chain Hexometer queries with LlamaIndex's data connectors to build multi-source analytical reports
Hexometer MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Hexometer to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Hexometer to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHexometer + LlamaIndex FAQ
Common questions about integrating Hexometer MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.