AI-powered infrastructure monitoring tools for Claude, Cursor, and MCP clients.
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.
Valid MCP server (2 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
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Set these up before or after installing:
Environment variable: UPTIMEBOLT_API_KEY
Sign up freeEnvironment variable: UPTIMEBOLT_API_URL
Sign up freeAdd this to your MCP configuration file:
{
"mcpServers": {
"io-github-clm-cloud-solutions-uptimebolt-mcp-server": {
"args": [
"-y",
"@uptimebolt/mcp-server"
],
"command": "npx"
}
}
}Once installed, try these example prompts and explore these capabilities:
From the project's GitHub README.
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.
Ask your infrastructure questions in natural language. Instead of navigating dashboards, let your AI assistant query real-time monitoring data directly:
npm install -g @uptimebolt/mcp-server
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"
}
}
}
}
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 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 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>
| 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 |
Get your API key at app.uptimebolt.io/settings/api-keys.
UPTIMEBOLT_API_KEY environment variablex-api-key header with each request (no startup key required)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).
| 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) |
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
UptimeBolt is an AI-first SaaS monitoring platform for DevOps teams and SREs. Key capabilities:
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.
MIT
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