About io.github.clm-cloud-solutions/uptimebolt-mcp-server
io.github.clm-cloud-solutions/uptimebolt-mcp-server is an MCP server published by clm-cloud-solutions in the Blockchain category: aI-powered infrastructure monitoring — health, incidents, predictions, RCA, deploy safety.
The repository has 2 stars and 0 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
claude mcp add io-github-clm-cloud-solutions-uptimebolt-mcp-server -- npx -y @uptimebolt/mcp-servernpx -y @uptimebolt/mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (10)
get_deploymentsRecent deployments with automatic incident correlation (GitHub/GitLab)
Parameters not published.
get_executive_summaryInfrastructure health summary for standups, weekly reports, or status updates
Parameters not published.
get_incidentsActive and resolved incidents with optional AI root cause analysis details
Parameters not published.
get_monitor_healthDetailed health for a specific monitor including response time trends and active predictions
Parameters not published.
get_monitor_metricsResponse time stats (avg, p95, p99), uptime percentage, and error breakdown
Parameters not published.
get_monitorsList all monitors with operational status, response time, and uptime percentage
Parameters not published.
get_predictionsAI predictions for upcoming issues with confidence levels and predicted impact
Parameters not published.
get_service_statusHealth status of business services with health score (0-100), monitor breakdown, and active incidents
Parameters not published.
is_safe_to_deployCI/CD deploy safety check based on health scores, predictions, and active incidents
Parameters not published.
run_root_cause_analysisAI-powered RCA using multi-model analysis (Claude, GPT) with deploy correlation
Parameters not published.
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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
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.