MCPMarket
スキルを販売Power Your Agents接続
  1. ホーム
  2. サーバー
  3. Prometheus

Prometheus

bcfmtolgahanbybcfmtolgahan
•
3
•
デプロイメントとDevOps
データサイエンスとML
分析と監視

Connects AI agents to Prometheus, enabling metric queries, alert analysis, and SRE operations through the Model Context Protocol.

Related MCPs

View more
  • Flux159

    Kubernetes Manager

    Connects to a Kubernetes cluster and enables management via commands.

  • ckreiling

    Docker

    Manage Docker containers using natural language commands.

  • GutMutCode

    Cloudflare

    Manages Cloudflare resources using natural language commands via the Model Context Protocol (MCP).

Related Skills

View all
  • openclaw

    Diagram Maker & Visualizer

    Generates professional SVG, HTML, and Excalidraw diagrams for software architecture, system flows, and educational concepts.

  • openclaw

    GH Issues Auto-Fixer

    Automates the end-to-end GitHub issue lifecycle by spawning sub-agents to implement code fixes, open pull requests, and resolve review comments.

  • openclaw

    Discord Integration

    Manages Discord operations including messaging, reactions, and channel management directly through Claude.

MCPMarket

ClaudeやCursorのようなMCPクライアントをお気に入りのツールに接続するMCPサーバーを見つけましょう。MCPマーケットを閲覧して始めましょう。

ブラウズ

  • MCP検索
  • MCPサーバー
  • MCPクライアント
  • Claudeスキル
  • MCP Market Hub
  • カテゴリー
  • MCPサーバーとは?
  • Model Context Protocol

ランキング

  • 今日のトップMCP
  • 今日のトップClaudeスキル
  • Claudeスキル Top 100
  • MCPサーバー Top 100

概要

  • ニュース
  • 提出する
  • お問い合わせ

© 2026 MCPマーケット. 全著作権所有。·Privacy·Terms

The Prometheus Server offers a robust Model Context Protocol (MCP) interface, empowering AI agents to seamlessly interact with Prometheus and Alertmanager. It provides a comprehensive suite of 38 specialized tools, including full Prometheus API coverage, SRE Golden Signals, intelligent analysis (anomaly detection, capacity forecasting, metric correlation), and PromQL helpers. Designed for production environments, it supports multiple transports (stdio, HTTP/SSE) and features Kubernetes-native deployment options with Helm charts and Terraform modules, ensuring reliability and scalability.

主な機能

0138 comprehensive MCP Tools covering Prometheus API and intelligent analysis
02Advanced analysis capabilities like anomaly detection, capacity forecasting, and metric correlation
032 GitHub stars
04Built-in SRE Golden Signals for error rate, latency, throughput, and saturation
05PromQL helpers for query validation, explanation, suggestions, and optimization
06Production-ready with Kubernetes-native deployment options (Helm, Terraform, HPA, PDB)

ユースケース

01Programmatically managing Alertmanager silences and performing advanced metric comparisons.
02Empowering AI agents to autonomously query Prometheus metrics and analyze alerts.
03Automating SRE operations by calculating SLIs, detecting anomalies, and checking error budgets.