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

Agentloopkit

作者:abhiyoheswaran1版本 1.2.0i★ –i在你的电脑上运行
注册名称io.github.abhiyoheswaran1/agentloopkit

安装

概览

作者提供的说明(英文原文)

Read-only MCP server for AgentLoopKit tasks, policies, reports, handoffs, and status.

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: 其他

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": {
    "agentloopkit": {
      "command": "npx",
      "args": [
        "-y",
        "agentloopkit"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add agentloopkit -- npx -y agentloopkit

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": {
    "agentloopkit": {
      "command": "npx",
      "args": [
        "-y",
        "agentloopkit"
      ]
    }
  }
}

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": {
    "agentloopkit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agentloopkit"
      ]
    }
  }
}

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 abhiyoheswaran1 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32464 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32464 个服务器的 17% 更新
  • 基础检查结果等于或优于此分类中其他 32464 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

Agentloopkit 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(1.2.0)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:Spec Driven Development, Remote Desktop Commander, yontu

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

yontu

作者:senrecep

Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.

在你的电脑上运行今天更新
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。

AgentLoopKit

A drop-in engineering loop for software agents.

An open-source Baseframe Labs developer tool.

Your software agent can produce a diff. AgentLoopKit helps you decide whether that work is reviewable, verifiable, and merge-ready.

It gives Codex, Claude Code, Cursor, OpenCode, Gemini CLI, GitHub Copilot CLI, and other engineering agents a local acceptance layer: task contracts, safety rules, verification evidence, review-readiness scores, PR descriptions, and reviewer handoffs.

Unstructured automation produces code. Agentic engineering produces auditable work.

ProjScan finds the risk. AgentLoopKit controls the work. AgentFlight proves the result.

The screenshots and terminal demos in this README are generated from committed sources in docs/assets/readme/ with Playwright and VHS. You can regenerate them locally.

What It Does

AgentLoopKit is a repo-level toolkit for developers using Codex, Claude Code, Cursor, OpenCode, Gemini CLI, GitHub Copilot CLI, and other engineering agents.

Keep your agent, IDE, and CLI. AgentLoopKit gives those tools a repeatable local workflow:

  1. Specify the task.
  2. Constrain the risk.
  3. Implement the smallest useful change.
  4. Verify with real commands.
  5. Review the diff.
  6. Hand off with evidence.
  7. Ship only when the work is reviewable.

Run init inside an existing repository and AgentLoopKit creates:

  • .agentloop/ for tasks, reports, handoffs, gates, policies, templates, and agent instructions
  • AGENTS.md for agent-facing repo guidance
  • AGENTLOOP.md for the working loop
  • agentloop.config.json for local command and path settings

Generated AGENTS.md includes a specialist roster for product, CLI, template, verification, security, release, docs, compatibility, MCP, and repo-steward work. It helps future agent sessions split work without adding a background service.

The CLI demo shows the normal path: initialize a repo, create a task, run reviewed verification, score review readiness, draft PR copy, inspect review context, and trace why a file changed.

Install

Use it with npx from the repository you want to configure:

cd /path/to/your/repo

npx agentloopkit init --dry-run npx agentloopkit init

init writes files into the current directory. --dry-run previews the same plan and writes nothing.

Commit the generated harness baseline before your first feature task when you want clean diff evidence. If the harness files are still uncommitted, explain-diff, Guard, and resume packs will include those generated files as local work, which is accurate but noisier than the steady-state loop.

After setup, non-init commands search upward for the nearest agentloop.config.json and use that folder as the AgentLoop root. You can run agentloop status, agentloop verify, agentloop ship, or agentloop prepare-pr from a nested source folder and still write tasks, reports, runs, and handoffs to the initialized repo root.

Do not run init from your home directory unless you intend to configure your home folder. AgentLoopKit refuses that by default; --force allows it and prints a home-directory target warning. If you want local agent guidance but do not want to commit the generated files, use local-only mode:

npx agentloopkit init --local-only

--local-only writes the harness, asks Git for this clone's metadata directory, then adds a marked block to that clone's info/exclude for .agentloop/, AGENTS.md, AGENTLOOP.md, and agentloop.config.json. It does not edit .gitignore, global Git config, shell profiles, or other project files.

The examples below use agentloop after setup. If you are not installing the package locally or exposing its binary on PATH, keep using the one-off form, for example npx --yes agentloopkit@latest doctor --redact-paths.

Check the published package explicitly:

npx --yes agentloopkit@latest version

npx --yes agentloopkit@latest init

For repeatable CI or team setup, replace @latest with a vetted version.

Before initialization, exploratory preflight can be advisory:

npx --yes agentloopkit@latest doctor --advisory --redact-paths

Advisory mode keeps missing-setup diagnostics visible but exits 0 so first-run scripts can continue. Use plain doctor or doctor --strict for gates that should fail on setup errors.

Pinned team usage:

pnpm add -D agentloopkit

pnpm agentloop init

Existing Repos

Repos that already use AgentLoopKit can update the CLI without rewriting local harness files:

cd /path/to/existing/repo

npx --yes agentloopkit@latest version npx --yes agentloopkit@latest doctor --redact-paths npx --yes agentloopkit@latest upgrade-harness --details --redact-paths npx --yes agentloopkit@latest init --dry-run

These commands inspect the published package. This repository may document unreleased guidance before the next publish; check release status before expecting agentloopkit@latest to include new subcommands.

init skips existing generated files and appends to unmarked AGENTS.md files instead of overwriting maintainer edits. Use upgrade-harness to find older guidance that does not tell agents to run agentloop doctor and agentloop start before broad reads, list handles with agentloop context handles when available, or expand source truth with agentloop context show . Copy only the useful pieces into AGENTS.md, AGENTLOOP.md, or .agentloop/harness/*.

You can use the latest loop before refreshing old guidance:

npx --yes agentloopkit@latest create-task --type bugfix --title "Fix checkout bug"

npx --yes agentloopkit@latest start --for generic --goal implement --redact-paths npx --yes agentloopkit@latest verify npx --yes agentloopkit@latest ship npx --yes agentloopkit@latest prepare-pr npx --yes agentloopkit@latest maintainer-check

Core Workflow

First useful loop after init:

agentloop doctor

agentloop create-task --type bugfix --title "Fix checkout bug" --include-config-commands agentloop status --brief agentloop start --for codex --goal implement --redact-paths agentloop loop create --goal "Keep checkout work release-ready" --budget-tokens 50000 --max-iterations 5 agentloop loop tick agentloop loop scorecard agentloop ready agentloop verify --task-commands --progress agentloop ship agentloop prepare-pr agentloop task done

That sequence creates a task contract, checks the repo setup, gives the next software agent a compact start briefing, records a local loop contract with token receipts, scores whether another loop pass should continue, checks readiness gates, runs only reviewed verification commands, records review-readiness evidence, drafts PR copy, and closes the active task. It does not post to GitHub, publish packages, call an LLM, execute a coding agent, or run hidden commands.

Make Your Agent Start Here

Before a software agent broad-scans the repo, run:

agentloop doctor --redact-paths

agentloop start --for codex --goal implement --redact-paths agentloop context handles --redact-paths agentloop context show --redact-paths

doctor checks the Agent Readiness Matrix: Doctor-before-Start guidance, Start guidance, context-handle guidance, broad-read avoidance, MCP guidance, and installed agent instruction files. start gives the current task, proof, risk, context budget, and source handles. context handles lists which handles are available now. context show expands exact local source truth only when the agent needs detail.

npx agentloopkit init

agentloop create-task --title "Fix login redirect bug" --type bugfix \ --acceptance "Password-reset login redirects to the requested page" \ --include-config-commands \ --verification "npm test -- auth"

Run Codex, Claude Code, Cursor, OpenCode, Gemini CLI, or another software agent.

agentloop verify --task-commands --only-task-commands --progress agentloop ship --github-comment agentloop prepare-pr

create-task sets the new contract as the active task. Use agentloop task set only when you need to switch to another contract. Add --include-config-commands when you want the task contract to copy non-empty test, lint, typecheck, and build commands from agentloop.config.json. Task creation records those commands; it does not run them. Use verify --task-commands --only-task-commands when the active contract already includes the full check list. Use verify --post-verification-gates only for reviewed task gates that need the verification report to exist first. After verification and ship, use agentloop prepare-pr for reviewer copy and agentloop task done to close the active task before starting unrelated work.

Use agentloop status or agentloop next when an agent needs the next local action without reading every file:

npx agentloopkit status

npx agentloopkit status --brief npx agentloopkit next npx agentloopkit next --redact-paths

When status or next recommends create-task in a dirty repo, the reason calls out existing dirty non-evidence files so agents can confirm the next task scope before implementation. When create-task sees that same pre-existing dirty work, it also adds a bounded Risk Notes bullet to the generated task contract so later review evidence preserves the baseline count and examples.

Use agentloop start --for codex --goal implement --redact-paths when a software agent needs the repo truth before broad reads. Start is the preflight: current task when one exists, decisive state, next safe command, read-first handles, risk summary, verification freshness, context-budget impact, and source handles. Use agentloop context handles to list available handles and normal empty states, then agentloop context show to expand source truth only when needed. Use agentloop context pack --for codex --goal continue --redact-paths when you need the lower-level receipt and omission details directly. Use agentloop guard when you want a live local check for scope drift, stale verification, proof debt, and context-budget pressure before review. Use agentloop explain-diff when you need to understand whether the current changed files are covered by task scope, recent run evidence, fresh verification, and risk guidance. Use agentloop resume-pack --for codex, --for claude, --for cursor, --for generic, or --for human when you need the older compact continuation surface. These commands are read-only by default and use local evidence only.

agentloop start is the agent starting point. It keeps agents from guessing by turning task state, changed files, verification, risk, and context pressure into one compact preflight. The Context Contract sits underneath it: context pack explains why each item is present, names what was left out, and provides local handles for the source truth. A large changed-file list becomes a small briefing the agent can expand only when it needs detail.

agentloop loop adds a local loop contract on top of normal task contracts. agentloop loop create records the goal, budget, stop conditions, suggested commands, native task path, and a token receipt.

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx