UptimeRobot MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add UptimeRobot 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 UptimeRobot. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in UptimeRobot?"
)
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 UptimeRobot MCP Server
Connect your UptimeRobot account to any AI agent to actively manage your website monitors, alert contacts, and response times directly from your conversational workspace.
LlamaIndex agents combine UptimeRobot tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Monitors — List all configured services natively, retrieve individual historical logs, create new endpoints to monitor (HTTP, Ping), edit configurations, or permanently delete monitors.
- Alert Contacts — Browse your configured alert notification targets (Email, Slack, Webhooks), create new distribution recipients, and manage who gets notified upon downtime.
- Metrics & History — Reset historical statistics for specific monitors quickly or retrieve the raw data array of up ratios and response times to graph or analyze.
- Account Setup — Extract UptimeRobot account usage to discover your remaining monitor slots limits and overall subscription features.
The UptimeRobot MCP Server exposes 10 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 UptimeRobot to LlamaIndex via MCP
Follow these steps to integrate the UptimeRobot 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 10 tools from UptimeRobot
Why Use LlamaIndex with the UptimeRobot MCP Server
LlamaIndex provides unique advantages when paired with UptimeRobot through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine UptimeRobot tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain UptimeRobot tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query UptimeRobot, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what UptimeRobot tools were called, what data was returned, and how it influenced the final answer
UptimeRobot + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the UptimeRobot MCP Server delivers measurable value.
Hybrid search: combine UptimeRobot real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query UptimeRobot 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 UptimeRobot for fresh data
Analytical workflows: chain UptimeRobot queries with LlamaIndex's data connectors to build multi-source analytical reports
UptimeRobot MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect UptimeRobot to LlamaIndex via MCP:
create_alert_contact
Type 2=Email, 11=Slack. Creates a new alert notification target
create_uptime_monitor
Provide a friendly name, URL, and type (1=HTTP, 3=Ping). Creates a new uptime monitor
delete_alert_contact
This action is irreversible. Permanently deletes an alert contact
delete_uptime_monitor
This action is irreversible. Permanently deletes an uptime monitor
get_account_info
Retrieves UptimeRobot account usage and limits
get_monitor_details
Retrieves full details for a specific UptimeRobot monitor
list_alert_contacts
Lists all configured alert notification targets (Email, Slack, Webhook, etc.)
list_monitors
Returns pass/fail status, up ratio, and response times. Lists all uptime monitors configured in UptimeRobot
reset_monitor_logs
Resets monitoring logs and statistics for a specific monitor
update_uptime_monitor
Updates an existing monitor configuration
Example Prompts for UptimeRobot in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with UptimeRobot immediately.
"List all my monitors and highlight any that are currently down."
"Create an HTTP monitor for our newly deployed marketing site (`https://marketing.vinkius.com/`)."
"Delete alert contact 'old-devops@acme.com'. Our team rotated users."
Troubleshooting UptimeRobot MCP Server with LlamaIndex
Common issues when connecting UptimeRobot to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUptimeRobot + LlamaIndex FAQ
Common questions about integrating UptimeRobot 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 UptimeRobot 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 UptimeRobot to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.