AI-powered infrastructure monitoring tools for Claude, Cursor, and MCP clients.
About
UptimeBolt MCP Server connects your AI assistant to your infrastructure monitoring stack. Query service health, response time metrics (p95/p99), active incidents, AI predictions, root cause analysis, deployment correlations, and deploy safety checks — all through natural language. Built for DevOps engineers, SREs, and developers who want real-time infrastructure insights without leaving their IDE or AI assistant.
Security Report
Valid MCP server (2 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
8 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: UPTIMEBOLT_API_KEY
Sign up freeEnvironment variable: UPTIMEBOLT_API_URL
Sign up freeHow to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-clm-cloud-solutions-uptimebolt-mcp-server": {
"args": [
"-y",
"@uptimebolt/mcp-server"
],
"command": "npx"
}
}
}Getting Started
Once installed, try these example prompts and explore these capabilities:
- 1"Is it safe to deploy the payments service right now?"
- 2"What incidents happened in the last 24 hours?"
- 3"Show me the response time metrics for my API monitor"
- 4"Give me an executive summary of our infrastructure"
- 5"Are there any AI predictions for upcoming issues?"
- 6"Run a root cause analysis on the latest incident"
- 7Tool: get_service_status — Check health score, monitors, and incidents for a service
- 8Tool: get_monitors — List all monitors with filtering by status and type
- 9Tool: get_monitor_metrics — Response time stats (avg, p95, p99), uptime, SSL info
- 10Tool: get_monitor_health — Detailed health with predictions and trends for a specific monitor
- 11Tool: get_incidents — Active/resolved incidents with optional inline RCA
- 12Tool: get_predictions — AI predictions for upcoming issues filtered by confidence
- 13Tool: get_deployments — Recent deployments with incident correlation
- 14Tool: run_root_cause_analysis — AI-powered multi-model root cause analysis
- 15Tool: is_safe_to_deploy — CI/CD deploy safety gate with risk assessment
- 16Tool: get_executive_summary — Infrastructure health summary for reports
Documentation
View on GitHubFrom the project's GitHub README.
UptimeBolt MCP Server
AI-powered infrastructure monitoring tools for Claude, Claude Code, Cursor, and any MCP-compatible client.
UptimeBolt is an AI-first monitoring platform that groups monitors into logical business services, predicts cascade failures before they happen, and automatically identifies which deploy caused each incident — including the commit, files, and lines of code responsible.
Built by CLM Cloud Solutions in Madrid, Spain.
Why UptimeBolt MCP Server?
Ask your infrastructure questions in natural language. Instead of navigating dashboards, let your AI assistant query real-time monitoring data directly:
- "Is it safe to deploy right now?" — get a data-driven answer based on health scores, active incidents, and predictions
- "What caused the last incident?" — AI-powered root cause analysis with deploy correlation
- "Give me an executive summary of the last 24 hours" — ready for your standup or status report
- "Show me monitors that are degraded" — instant filtered view across your infrastructure
Features
- 10 monitoring tools — service status, incidents, predictions, RCA, deploy safety, and more
- Dual transport — stdio (local) + HTTP (remote/CI-CD)
- API key authentication — secure per-request access to your UptimeBolt data
- Works everywhere — Claude Desktop, Claude Code, Cursor, Cline, and any MCP client
- CI/CD ready — deploy safety checks directly in your pipeline
Quick Start
Install globally (recommended)
npm install -g @uptimebolt/mcp-server
Claude Desktop (stdio)
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"uptimebolt": {
"command": "uptimebolt-mcp",
"env": {
"UPTIMEBOLT_API_KEY": "your-api-key",
"UPTIMEBOLT_API_URL": "https://api.uptimebolt.io"
}
}
}
}
Or without global install, using npx:
{
"mcpServers": {
"uptimebolt": {
"command": "npx",
"args": ["-y", "--package=@uptimebolt/mcp-server", "uptimebolt-mcp"],
"env": {
"UPTIMEBOLT_API_KEY": "your-api-key",
"UPTIMEBOLT_API_URL": "https://api.uptimebolt.io"
}
}
}
}
Claude Code / Cursor
Add to your project's .mcp.json:
{
"mcpServers": {
"uptimebolt": {
"command": "uptimebolt-mcp",
"env": {
"UPTIMEBOLT_API_KEY": "your-api-key",
"UPTIMEBOLT_API_URL": "https://api.uptimebolt.io"
}
}
}
}
Docker (HTTP)
docker run -p 3100:3100 \
-e UPTIMEBOLT_API_URL=https://api.uptimebolt.io \
ghcr.io/clm-cloud-solutions/uptimebolt-mcp-server:latest
Then connect via mcp-remote:
{
"mcpServers": {
"uptimebolt": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://localhost:3100/mcp", "--header", "x-api-key:your-api-key"]
}
}
}
npm (programmatic)
npm install @uptimebolt/mcp-server
import { TOOLS, HANDLERS } from "@uptimebolt/mcp-server";
// TOOLS — MCP tool definitions (10 tools)
// HANDLERS — tool handler functions: (args, context?) => Promise<result>
Available Tools
| Tool | Description |
|---|---|
get_service_status | Health status of business services with health score (0-100), monitor breakdown, and active incidents |
get_monitors | List all monitors with operational status, response time, and uptime percentage |
get_monitor_health | Detailed health for a specific monitor including response time trends and active predictions |
get_monitor_metrics | Response time stats (avg, p95, p99), uptime percentage, and error breakdown |
get_incidents | Active and resolved incidents with optional AI root cause analysis details |
get_predictions | AI predictions for upcoming issues with confidence levels and predicted impact |
get_deployments | Recent deployments with automatic incident correlation (GitHub/GitLab) |
run_root_cause_analysis | AI-powered RCA using multi-model analysis (Claude, GPT) with deploy correlation |
is_safe_to_deploy | CI/CD deploy safety check based on health scores, predictions, and active incidents |
get_executive_summary | Infrastructure health summary for standups, weekly reports, or status updates |
Authentication
Get your API key at app.uptimebolt.io/settings/api-keys.
- stdio mode: Set
UPTIMEBOLT_API_KEYenvironment variable - HTTP mode: Pass
x-api-keyheader with each request (no startup key required)
CI/CD Integration
Use is_safe_to_deploy as a gate in your deployment pipeline:
curl -X POST http://localhost:3100/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "x-api-key: your-api-key" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "is_safe_to_deploy",
"arguments": { "service_name": "my-service" }
}
}'
The response includes a risk level (low, medium, high), active issues, and a recommendation (proceed, proceed_with_caution, wait_and_monitor).
Configuration
| Variable | Description | Default |
|---|---|---|
UPTIMEBOLT_API_KEY | Your UptimeBolt API key | (required for stdio) |
UPTIMEBOLT_API_URL | UptimeBolt API base URL | http://localhost:3200 |
MCP_HTTP_PORT | HTTP server port | 3100 |
NODE_ENV | Environment (production disables console logs) | development |
LOG_LEVEL | Log level (error, warn, info, debug) | debug (dev) / info (prod) |
Development
git clone https://github.com/clm-cloud-solutions/uptimebolt-mcp-server.git
cd uptimebolt-mcp-server
cp .env.example .env # configure your environment
npm install
npm run dev # stdio mode
npm run dev:http # HTTP mode
npm run build # compile TypeScript
npm run typecheck # type check without emitting
About UptimeBolt
UptimeBolt is an AI-first SaaS monitoring platform for DevOps teams and SREs. Key capabilities:
- Cascade failure prediction — dependency graph with what-if analysis, downtime cost estimation, and proactive mitigations
- Deploy correlation + RCA 2.0 — automatically correlates GitHub/GitLab deploys with incidents, identifies the responsible commit and files
- AI Copilot — conversational assistant with real-time infrastructure context
- 8 monitor types — HTTP, TCP, DNS, Database, Email, Synthetic, Push, Ping
About CLM Cloud Solutions
CLM Cloud Solutions S.L. is a technology company based in Madrid, Spain, building SaaS products for engineering teams to operate with confidence, speed, and security.
- GitHub
- Contact: info@clmcloudsolutions.es
License
MIT
Reviews
No reviews yet
Be the first to review this server!
More Cloud & DevOps MCP Servers
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
FinAgent
Freeby mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.
Google Workspace MCP
Freeby Taylorwilsdon · Productivity
Control Gmail, Calendar, Docs, Sheets, Drive, and more from your AI