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io.github.clm-cloud-solutions/uptimebolt-mcp-server

AI-powered infrastructure monitoring — health, incidents, predictions, RCA, deploy safety

Unclaimed last commit 7 months ago blockchain
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Scored 6 months ago · breakdown

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 Code
claude mcp add io-github-clm-cloud-solutions-uptimebolt-mcp-server -- npx -y @uptimebolt/mcp-server
npx
npx -y @uptimebolt/mcp-server

This 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_KEY environment variable
  • HTTP mode: Pass x-api-key header 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.

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.clm-cloud-solutions/uptimebolt-mcp-server

How do I install io.github.clm-cloud-solutions/uptimebolt-mcp-server?

Run claude mcp add io-github-clm-cloud-solutions-uptimebolt-mcp-server -- npx -y @uptimebolt/mcp-server, then add the server to your MCP client's configuration.

Is io.github.clm-cloud-solutions/uptimebolt-mcp-server safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.clm-cloud-solutions/uptimebolt-mcp-server still maintained?

The last commit was 7 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.