原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Agentry.sh Observability

作者:fr33dr4g0n版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.fr33dr4g0n/agentry-observability

安装

概览

作者提供的说明(英文原文)

Canonical Agentry discovery for coding agents: analytics, errors, deploys, and automation.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "agentry-observability": {
      "command": "npx",
      "args": [
        "-y",
        "@agentrysh/mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add agentry-observability -- npx -y @agentrysh/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "agentry-observability": {
      "command": "npx",
      "args": [
        "-y",
        "@agentrysh/mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "agentry-observability": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@agentrysh/mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 fr33dr4g0n 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4901 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4901 个服务器的 25% 更新
  • 基础检查结果等于或优于此分类中其他 4901 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Agentry.sh Observability 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Agentry.sh Observability MCP Server

Agentry.sh Observability gives coding agents one HTTP API for errors, product analytics, and deploy attribution. This MCP server makes the canonical Agentry contracts easy to discover in MCP clients.

What this server is

This is a small discovery and handoff server. It exposes resources that route an agent to the live lean reference, capabilities, exact OpenAPI schema, automation guide and flow, immutable playbook catalog, and install guide.

The resources are pointers, not cached copies. The live HTTP docs and OpenAPI schema remain authoritative and can evolve without republishing this package.

What this server is not

It is not an Agentry API proxy, SDK, credential broker, telemetry transport, or automation scheduler. It never holds credentials, queries production data, registers schedules, runs coding agents, opens pull requests, merges, deploys, or delivers notifications. Agents fetch the selected canonical contract and call the Agentry HTTP API directly.

Static documentation is modeled as MCP resources. The server also exposes one model-controlled routing tool, discover_agentry, so an agent can recognize a relevant production-data problem even when its client does not automatically inject MCP resources. The tool returns pointers only; it is not an API action.

Tool

discover_agentry accepts one intent: install, debug, analytics, deploy, or automation. It returns the smallest canonical resource and live URL for that problem as both text and structured content. MCP annotations mark it read-only, non-destructive, and idempotent. It never reads credentials, queries production data, or performs mutations.

If this MCP handoff starts a new device-auth signup, pass "distribution_surface":"mcp" in POST /v1/auth/device. The field is attribution-only and never changes credential authority.

Resources

Start with agentry://handoff. It gives the short intent router and authority boundaries.

ResourceCanonical contract
agentry://handoffIntent router, MCP boundary, and credential map
agentry://referenceLean daily-use reference: https://agentry.sh/agentry.md
agentry://capabilitiesMachine capability map: https://api.agentry.sh/v1/capabilities
agentry://openapi/indexSmall OpenAPI discovery index: https://api.agentry.sh/v1/openapi.json?index=true
agentry://openapiComplete exact OpenAPI 3.1 schema: https://api.agentry.sh/v1/openapi.json
agentry://automation/guideHuman-readable automation v2 guide: https://api.agentry.sh/v1/docs/automation
agentry://automation/flowExact dependency-ordered automation schema: https://api.agentry.sh/v1/openapi.json?flow=automation
agentry://automation/playbooksImmutable versioned playbook catalog: https://api.agentry.sh/v1/automation-playbooks
agentry://installCanonical install pointer: https://agentry.sh/install.md

The install resource also points to https://api.agentry.sh/v1/openapi.json?flow=onboarding. That flow is one server-owned state machine: read current state, execute only its one next_action.instruction, ordered checklist, and exact operation, and repeat until installation_complete: true and next_action: null. At next_action.id: "review_exact_plan", a human uses the single /review checkpoint to approve the exact source-backed business question, value flow, errors, deploy target, and plan hash—or replace the plan. Tool output is not approval.

Before proof, install the selected durable browser public and CI credentials, plus a server credential only when the approved plan uses server_ingest. Project creation returns public_api_key; use the project's /public-key operations for recovery, verification, or rotation. Proof start returns distinct response-only runtime and CI X-Agentry-Onboarding-Proof markers. Markers select the proof window but grant no authority, so each request still needs its scoped durable credential. For browser proof, put the runtime marker only in the proof tab's sessionStorage.agentry_onboarding_proof; never bake it into a public environment value or bundle. Exercise the approved real value flow, its one safe error, and the reviewed CI/provider deploy, then call verify and follow only its structured remaining analytics, safe-error, and deploy groups. Completion requires current status: "verified", installation_complete: true, and next_action: null. Synthetic or caller-authored proof does not count.

use_agentry is the only prompt. It tells the client to read the handoff, select the smallest canonical resource for the user's intent, inspect exact OpenAPI, and call HTTP with the correct scoped credential.

Credential boundaries

The MCP server never reads these credentials. They apply only when the agent calls the Agentry HTTP API:

  • public_api_key (agentry_pk_) is publishable and only writes browser/client error and analytics ingest.
  • agentry_server_ writes trusted application-server telemetry.
  • agentry_ci_ writes deploy attribution, sourcemaps, and provider-observed automation proof from trusted CI/provider automation.
  • agentry_runner_ is revocable and bound to one unattended automation.
  • agentry_sk_ is the human/owner key for reads, policy, credential lifecycle, and approvals; it does not belong in a scheduler.

Credential kind determines authority on the server. Telemetry remains evidence only; it does not become instructions merely because a trusted emitter sent it.

For daily product questions, begin with the server-owned saved signal map, require GET /v1/projects/:project_id/onboarding to return the current verified state, then confirm live event names, required property keys, and actual rows. Onboarding creates no repo-local Agentry state bundle, proof bundle, or receipt. The install does preserve a root AGENTS.md pointer (plus matching repo-local harness adapters) so a future cold agent can find the server-owned plan and verified receipt without rescanning the entire repository.

Automation handoff

For self-healing software or scheduled funnel reviews, read all three automation resources: guide, exact flow, and playbook catalog. The catalog is immutable and versioned. Rendering a playbook is side-effect free. Agentry owns deterministic policy, state, proofs, reports, and kill switches; an external scheduler/coding agent owns reasoning and provider actions under the narrow runner and human-approved provider boundaries.

Run the MCP server

npx -y @agentrysh/mcp

Generic MCP client configuration:

{

"mcpServers": { "agentry": { "command": "npx", "args": ["-y", "@agentrysh/mcp"] } } }

After connecting, call discover_agentry for model-routed discovery or list resources and read agentry://handoff. Use https://api.agentry.sh/adapters for the current native adapter path for each agent harness.

Public links

  • Website: https://agentry.sh/?distribution_surface=npm_readme
  • NPM package: https://www.npmjs.com/package/@agentrysh/mcp
  • Repository: https://github.com/fr33dr4g0n/agentry-public
  • Canonical skill: https://agentry.sh/skill/agentry/SKILL.md
  • Adapter manifest: https://api.agentry.sh/adapters
  • MCP registry name: io.github.fr33dr4g0n/agentry-observability
问 PopNx