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Prometheus MCP server for AI agents: PromQL queries, alert explanations, series discovery.
prom-mcp 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 56/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。该条目暂无自动安装命令，请查阅仓库获取手动安装说明。 在将 prom-mcp 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
查看来源文档运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-09T21:00:37.770627Z",
"publishedAt": "2026-10-09T21:00:37.770627Z",
"statusChangedAt": "2026-10-09T21:00:37.770627Z"
}
},
"server": {
"name": "io.github.aniketatgithub/prom-mcp",
"title": "prom-mcp",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.2.0",
"packages": [
{
"version": "0.2.0",
"transport": {
"type": "stdio"
},
"fileSha256": "6404193ab4c2d3a61ccaf9f13d6d00a6ea4a1b15c64e0d0803fbc6fd0f58985c",
"identifier": "https://github.com/aniketatgithub/prom-mcp/releases/download/v0.2.0/prom-mcp_v0.2.0_linux_amd64.mcpb",
"registryType": "mcpb",
"environmentVariables": [
{
"name": "PROM_URL",
"default": "http://localhost:9090",
"description": "Base URL of your Prometheus server."
},
{
"name": "PROM_TOKEN",
"isSecret": true,
"description": "Bearer token for an auth-protected Prometheus. Leave empty if not needed."
},
{
"name": "PROM_TIMEOUT",
"default": "15s",
"description": "Timeout for Prometheus requests, e.g. 15s or 30s."
}
]
},
{
"version": "0.2.0",
"transport": {
"type": "stdio"
},
"fileSha256": "096743ba296a1cc911fa95029d56cdeb4e3b963e4bc446fad6a1c7bfdde5a1a9",
"identifier": "https://github.com/aniketatgithub/prom-mcp/releases/download/v0.2.0/prom-mcp_v0.2.0_linux_arm64.mcpb",
"registryType": "mcpb",
"environmentVariables": [
{
"name": "PROM_URL",
"default": "http://localhost:9090",
"description": "Base URL of your Prometheus server."
},
{
"name": "PROM_TOKEN",
"isSecret": true,
"description": "Bearer token for an auth-protected Prometheus. Leave empty if not needed."
},
{
"name": "PROM_TIMEOUT",
"default": "15s",
"description": "Timeout for Prometheus requests, e.g. 15s or 30s."
}
]
},
{
"version": "0.2.0",
"transport": {
"type": "stdio"
},
"fileSha256": "d6fe1f9d83d13152d6a55d3e2a0da0906801e88fb6ff0999be9d3187ee9d911e",
"identifier": "https://github.com/aniketatgithub/prom-mcp/releases/download/v0.2.0/prom-mcp_v0.2.0_darwin_amd64.mcpb",
"registryType": "mcpb",
"environmentVariables": [
{
"name": "PROM_URL",
"default": "http://localhost:9090",
"description": "Base URL of your Prometheus server."
},
{
"name": "PROM_TOKEN",
"isSecret": true,
"description": "Bearer token for an auth-protected Prometheus. Leave empty if not needed."
},
{
"name": "PROM_TIMEOUT",
"default": "15s",
"description": "Timeout for Prometheus requests, e.g. 15s or 30s."
}
]
},
{
"version": "0.2.0",
"transport": {
"type": "stdio"
},
"fileSha256": "f733ff764008815141639f86298e571741ac03b454a02974ed00f7c7be53b35b",
"identifier": "https://github.com/aniketatgithub/prom-mcp/releases/download/v0.2.0/prom-mcp_v0.2.0_darwin_arm64.mcpb",
"registryType": "mcpb",
"environmentVariables": [
{
"name": "PROM_URL",
"default": "http://localhost:9090",
"description": "Base URL of your Prometheus server."
},
{
"name": "PROM_TOKEN",
"isSecret": true,
"description": "Bearer token for an auth-protected Prometheus. Leave empty if not needed."
},
{
"name": "PROM_TIMEOUT",
"default": "15s",
"description": "Timeout for Prometheus requests, e.g. 15s or 30s."
}
]
}
],
"repository": {
"id": "1411543081",
"url": "https://github.com/aniketatgithub/prom-mcp",
"source": "github"
},
"websiteUrl": "https://github.com/aniketatgithub/prom-mcp",
"description": "Prometheus MCP server for AI agents: PromQL queries, alert explanations, series discovery."
}
}