
Uptimebolt Mcp Server
io.github.clm-cloud-solutionsPublished by GitHub account clm-cloud-solutionsv1.0.7Updated Oct 24, 2026
AI-powered infrastructure monitoring — health, incidents, predictions, RCA, deploy safety
Overview
UptimeBolt's MCP server lets an AI assistant query infrastructure monitoring data — service health, incidents, predictions, root cause analysis and deploy…
- What you can do
- Check service and monitor health, status, response times and uptime
- Review active and resolved incidents with optional AI root cause analysis
- Get AI predictions of upcoming issues with confidence and predicted impact
- List recent deployments with automatic GitHub/GitLab incident correlation
- Run multi-model root cause analysis and get a deploy safety verdict
- Produce an executive summary of infrastructure health for reports or standups
- When to use it
- Useful for DevOps and SRE teams already on UptimeBolt who want to ask about infrastructure health in natural language, investigate incidents and deploy correlation, or gate CI/CD pipelines on a deploy safety check.
- Requirements
- Runs locally over stdio via the npm package (Node.js), or as an HTTP/Docker service. Needs an UptimeBolt account and API key: UPTIMEBOLT_API_KEY for stdio, or an x-api-key header in HTTP mode. UPTIMEBOLT_API_URL sets the API base URL. Network access to the UptimeBolt API.
Installation
In SourceWeft
- Open Uptimebolt Mcp Server in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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)
Claude Desktop (stdio)
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
Or without global install, using npx:
Claude Code / Cursor
Add to your project's .mcp.json:
Docker (HTTP)
Then connect via mcp-remote:
npm (programmatic)
Available Tools
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:
The response includes a risk level (low, medium, high), active issues, and a recommendation (proceed, proceed_with_caution, wait_and_monitor).
Configuration
Development
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: [email protected]
License
MIT
Source: README.md at commit 736a07b
Tools
0Version history
1- v1.0.7LatestSep 16, 2026
Score
50% of the applicable checks met
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- Auth declared10 pts
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- Tools listed15 pts
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- DescriptionRequired15 pts
- Logo10 pts
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- License10 pts