Better Stack 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 Better Stack 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 Better Stack. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Better Stack?"
)
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 Better Stack MCP Server
Connect your Better Stack (Better Uptime) account to any AI agent and empower it to act as your Level 1 Site Reliability Engineer (SRE). Let your AI diagnose incidents, manage escalations, and audit monitoring configs securely via conversation.
LlamaIndex agents combine Better Stack 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
- Incident Response — Rapidly list firing incidents, inspect technical downtime payloads, acknowledge alerts, and force resolve states inline
- Uptime Monitors — Fetch exact definitions of active HTTP endpoint pings, DNS probes, and latency constraints across your fleet
- Cron Heartbeats — Investigate passive tracking endpoints validating background workers and server limits
- On-Call Management — Expose active shifts and team schedules to determine explicitly who is getting paged in real-time
- Status Pages — Read configured public dashboards tracking your global infrastructure
The Better Stack 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 Better Stack to LlamaIndex via MCP
Follow these steps to integrate the Better Stack 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 Better Stack
Why Use LlamaIndex with the Better Stack MCP Server
LlamaIndex provides unique advantages when paired with Better Stack through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Better Stack tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Better Stack tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Better Stack, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Better Stack tools were called, what data was returned, and how it influenced the final answer
Better Stack + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Better Stack MCP Server delivers measurable value.
Hybrid search: combine Better Stack real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Better Stack 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 Better Stack for fresh data
Analytical workflows: chain Better Stack queries with LlamaIndex's data connectors to build multi-source analytical reports
Better Stack MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Better Stack to LlamaIndex via MCP:
acknowledge_incident
Acknowledge an ongoing explicit incident halting paging
get_heartbeat
Get explicit details of a passive heartbeat node
get_incident
Retrieve the native timeline payload of an explicit incident
get_monitor
Get full details of a specific Better Stack monitor
list_heartbeats
List all configured cron heartbeats securely
list_incidents
List all explicit incidents on Better Stack
list_monitors
List all monitors on Better Stack (Better Uptime)
list_on_call
List exact On-Call routing calendars
list_status_pages
List all explicit Status Pages
resolve_incident
Force resolve a specific incident
Example Prompts for Better Stack in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Better Stack immediately.
"List any active unresolved incidents going on right now."
"Who is currently on-call for the main engineering shift?"
"Check the detailed root cause of passed Incident #8012."
Troubleshooting Better Stack MCP Server with LlamaIndex
Common issues when connecting Better Stack to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBetter Stack + LlamaIndex FAQ
Common questions about integrating Better Stack 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 Better Stack 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 Better Stack to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.