How to Use the Uptime.com MCP in LlamaIndex

Index past Uptime.com alerts and configs with LlamaIndex.

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Connect Uptime.com MCP to LlamaIndex

Create your Vinkius account to connect Uptime.com to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Uptime.com with LlamaIndex

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Claude

Perplexity

Building a searchable knowledge base from uptime data.

LlamaIndex lets you index the output of `list_recent_alerts` so you can search past downtime events semantically. Instead of just reading an alert list, your agent queries the index and gets answers grounded in specific historical API data. This is ideal for compliance or debugging: 'Why did we fail on service X last quarter?' You get a direct answer from indexed records.

Querying configuration changes.

You can index the results of `list_checks` and `get_account_info`. This means you can ask natural language questions like, 'What was the monitoring setup for our main API endpoint last month?' The RAG application combines live uptime data with historical configuration documents into one queryable source.

Retrieving root cause analysis history.

The `get_root_cause_analysis` tool output becomes searchable knowledge. You can ask your AI client to 'Compare the RCA for Service A's failure last week vs. this month.' The index finds patterns in the text, connecting different alert records and making complex comparisons simple.

Setup guide

Set up Uptime.com MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Uptime.com MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Uptime.com tools.",
)
response = await agent.run("List recent Uptime.com data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Uptime.com. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Uptime.com MCP in LlamaIndex

LlamaIndex consumes the structured output of uptime tools (like `get_check_stats`) and converts it into embeddings that live in a vector store. This allows for deep semantic searching over API data.

It indexes operational records, including check configurations, alert details, and statistical outputs from `get_check_stats`. The goal is making that raw API data searchable.

Yes. You combine live uptime monitoring results with historical configuration records to answer complex questions about system stability, effectively turning an API into a persistent knowledge base.

The MCP Server handles endpoint token authentication for calls to Uptime.com. Remember that indexing large data sets might require careful management of API call frequency.

This server touches operational and metadata types: check details, alert history, account profiles (`get_account_info`), and global node lists.

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