HetrixTools 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 HetrixTools as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 HetrixTools. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in HetrixTools?"
)
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 HetrixTools MCP Server
Connect your HetrixTools account to any AI agent and take full control of your infrastructure monitoring and IP reputation management through natural conversation.
LlamaIndex agents combine HetrixTools 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
- Uptime Oversight — List all uptime monitors, check status, and retrieve detailed availability reports for your websites and services.
- Blacklist Monitoring — List and manage monitors for IP addresses and domains across 90+ global blacklists.
- On-Demand Checks — Perform real-time blacklist scans for any IPv4 address or domain directly from the chat.
- Maintenance Control — Quickly toggle maintenance modes for your monitors to avoid false alerts during updates.
- Resource Tracking — Monitor your account's API and monitor usage to stay within your plan limits.
- Team Alerts — Access and manage your contact lists to ensure the right people are notified of outages.
The HetrixTools 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 HetrixTools to LlamaIndex via MCP
Follow these steps to integrate the HetrixTools 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 HetrixTools
Why Use LlamaIndex with the HetrixTools MCP Server
LlamaIndex provides unique advantages when paired with HetrixTools through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine HetrixTools tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain HetrixTools tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query HetrixTools, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what HetrixTools tools were called, what data was returned, and how it influenced the final answer
HetrixTools + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the HetrixTools MCP Server delivers measurable value.
Hybrid search: combine HetrixTools real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query HetrixTools 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 HetrixTools for fresh data
Analytical workflows: chain HetrixTools queries with LlamaIndex's data connectors to build multi-source analytical reports
HetrixTools MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect HetrixTools to LlamaIndex via MCP:
add_uptime_monitor
Pass the configuration as a JSON string in "body_json" (requires type, target, label, and contact ID). Create a new uptime monitor
check_domain_blacklist
Useful for identifying mail delivery issues. Perform an on-demand blacklist check for a domain
check_ip_blacklist
Note: results may take a few minutes to process. Perform an on-demand blacklist check for an IPv4 address
delete_uptime_monitor
Remove an uptime monitor
get_account_usage
Retrieve current API and resource usage statistics
list_blacklist_monitors
List all IP and domain blacklist monitors
list_bulk_reports
List all generated bulk reports
list_contact_lists
List notification contact lists
list_uptime_monitors
Use this to check the current health of your infrastructure. List all uptime monitors
list_uptime_reports
Retrieve detailed uptime reports for a monitor
set_maintenance_mode
Modes: 1 (Normal), 2 (Maint. with notifications), 3 (Maint. without notifications). Toggle maintenance mode for an uptime monitor
Example Prompts for HetrixTools in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with HetrixTools immediately.
"List all my uptime monitors and their current status."
"Check if the IP address 1.2.3.4 is blacklisted."
"Put monitor ID 'm123' into maintenance mode without notifications."
Troubleshooting HetrixTools MCP Server with LlamaIndex
Common issues when connecting HetrixTools to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHetrixTools + LlamaIndex FAQ
Common questions about integrating HetrixTools 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 HetrixTools 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 HetrixTools to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.