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。
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Agent Never Give Up

作者:askman-dev版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.askman-dev/agent-never-give-up

安装

概览

作者提供的说明(英文原文)

An escape guide for coding agents, providing structured thinking tools to help agents unstick.

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": {
    "agent-never-give-up": {
      "command": "npx",
      "args": [
        "-y",
        "agent-never-give-up-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add agent-never-give-up -- npx -y agent-never-give-up-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": {
    "agent-never-give-up": {
      "command": "npx",
      "args": [
        "-y",
        "agent-never-give-up-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": {
    "agent-never-give-up": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agent-never-give-up-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 askman-dev 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 32602 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32602 个服务器的 1% 更新
  • 基础检查结果等于或优于此分类中其他 32602 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

Agent Never Give Up 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11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, Rystic

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前天更新
安装

Rystic

作者:Rystic-Inc

Start, seed, clock, inspect and diff Rystic API simulators from your agent.

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。

Agent Never Give Up MCP

This is a MCP server that acts as a "escape guide" for AI coding agents.

It provides structured thinking protocols to help agents unstuck themselves without human help.

The diagram below illustrates when an agent should call this server and what it receives in return:

graph TD

%% 1. The Normal Loop UserLoop[" User Query & Agent Loop (Claude Code / Windsurf / Cursor) Agent executing tasks..."]

%% 2. The Problem (Triggers) subgraph Triggers ["Agent Gets Stuck (Trigger State)"] direction TB S1["Circular Reasoning"] S2["Bug Fix Fails"] S3["Missing Info"] S4["Analysis Paralysis"] S5["Unclear 'Done' State"] end

%% Flow: Loop -> Stuck UserLoop -.->|"⚠️ Detects Issue (Inner Loop Stall)"| Triggers

%% 3. The Solution (MCP Call) subgraph MCP ["Agent Never Give Up MCP"] direction TB T1(logic-is-too-complex) T2(bug-fix-always-failed) T3(missing-requirements) T4(analysis-too-long) T5(unclear-acceptance-criteria) end

%% Mapping Triggers to Tools S1 -->|Call| T1 S2 -->|Call| T2 S3 -->|Call| T3 S4 -->|Call| T4 S5 -->|Call| T5

%% 4. The Response MCP -->|Returns| R1[" Metacognitive Protocol Structured markdown to:

  1. Re-anchor goal
  2. Summarize failures
  3. Propose NEW strategy"]

%% 5. The Outcome R1 --> Result[" Autonomous Recovery Agent unblocks itself & resumes execution (No Human Hand-off)"]

%% Cycle back to loop Result -.->|"Resumes Loop"| UserLoop

%% Styling classDef loop fill:#e1f5fe,stroke:#01579b,stroke-width:2px; classDef trigger fill:#ffebee,stroke:#b71c1c,stroke-width:2px; classDef tool fill:#fff3e0,stroke:#e65100,stroke-width:2px; classDef response fill:#e8f5e9,stroke:#1b5e20,stroke-width:2px;

class UserLoop loop; class S1,S2,S3,S4,S5 trigger; class T1,T2,T3,T4,T5 tool; class R1,Result response;

Features

  • Remote MCP server at /mcp endpoint (Streamable HTTP specification compliant)
  • Two-tier scenario organization:
  • Core scenarios (auto-registered as direct MCP tools):
  • logic-is-too-complex – for circular reasoning or over-complicated logic
  • bug-fix-always-failed – for repeated failed bug fix attempts
  • missing-requirements – for unclear or missing requirements
  • lost-main-objective – for when current actions feel disconnected from the original goal
  • scope-creep-during-task – for when changes expand beyond the original task scope
  • long-goal-partially-done – for multi-step tasks where remaining work is forgotten
  • strategy-not-working – for when the same approach fails repeatedly
  • Extended scenarios (discovered via list_scenarios, accessed via get_prompt):
  • analysis-too-long – for excessive analysis time
  • unclear-acceptance-criteria – for undefined acceptance criteria
  • wrong-level-of-detail – for working at wrong abstraction level
  • constraints-cant-all-be-met – for conflicting requirements or constraints
  • blocked-by-environment-limits – for environmental blockers vs logic problems
  • Discovery tools:
  • list_scenarios – list all scenarios with their tier (core/extended)
  • get_prompt – access any scenario (core or extended)
  • Dual mode support: Each tool supports static and sampling modes
  • Community-contributed prompts via markdown files
  • Public and auth-less (v0)
  • Cloudflare Workers deployment

Configuration

Since agent-never-give-up is a cloud-hosted MCP server, no local installation is required. Simply add the server configuration to your preferred AI tool.

Install in Cursor
  1. Open Cursor Settings > MCP.
  2. Click + Add new global MCP server.
  3. Use the following configuration (or edit your ~/.cursor/mcp.json file directly):
{

"mcpServers": { "agent-never-give-up": { "type": "http", "url": "https://agent-never-give-up-mcp.askman.dev/mcp", "note": "A 'Swiss Army knife' toolset to help agents recover from getting stuck" } } }

Install in Claude Desktop

To configure the server for Claude Desktop, edit the configuration file located at:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the following entry to the mcpServers object:

{

"mcpServers": { "agent-never-give-up": { "type": "http", "url": "https://agent-never-give-up-mcp.askman.dev/mcp" } } }

Install in Cline
  1. Open Cline and click the MCP Servers icon (☰).
  2. Select the Remote Servers tab (if available) or click Configure MCP Servers.
  3. Edit the cline_mcp_settings.json file to include:
{

"mcpServers": { "agent-never-give-up": { "type": "http", "url": "https://agent-never-give-up-mcp.askman.dev/mcp", "note": "A comprehensive suite of tools designed to keep agents persistent and unstuck" } } }

Install in Windsurf
  1. Open Windsurf.
  2. Go to File > Settings > Configure MCP Servers (or edit ~/.codeium/windsurf/mcp_config.json).
  3. Add the server configuration:
{

"mcpServers": { "agent-never-give-up": { "type": "http", "url": "https://agent-never-give-up-mcp.askman.dev/mcp" } } }

Development

To contribute to this project or run a local instance:

# Install dependencies

npm install

The local server will be available at http://localhost:8787/mcp.

Contributing Prompts

Prompts are organized in two tiers within the prompts/ directory:

prompts/

├── core/ # Core scenarios (auto-registered as tools) │ ├── logic-is-too-complex/ │ │ └── tool.md │ ├── bug-fix-always-failed/ │ │ └── tool.md │ └── missing-requirements/ │ └── tool.md └── extended/ # Extended scenarios (via list_scenarios + get_prompt) ├── analysis-too-long/ │ └── tool.md └── unclear-acceptance-criteria/ └── tool.md

Prompt File Format

Each tool.md file follows a simple markdown format with YAML frontmatter and a single protocol body:

---

name: scenario_name title: "Scenario Title" description: "When / why the agent should call this tool, from the agent's perspective"


When you notice [the trigger condition], follow this exact protocol step by step.

1. First step title

  1. Action item one.
  2. Action item two.
  3. Action item three.

Keep it concrete.

2. Second step title

...

3. Third step title

...

Key principles:

  • The description explains *when* to use the tool (the trigger condition)
  • The body is a *single protocol* with numbered sections
  • Each section has 2–6 concrete steps
  • Focus on *how to think*, not domain-specific details
  • No system prompt / user prompt template sections—just one actionable protocol

See prompts/AGENTS.md for detailed guidance on writing effective prompts.

Adding a New Scenario

Scenarios are auto-discovered from the prompts/ tree and the generated files in src/prompts/generated-scenarios.ts and src/types/generated-scenarios.ts. You do not need to manually edit TypeScript files—just add the prompt and regenerate.

Core scenarios (auto-registered as tools):

  1. Create a new directory: prompts/core/{scenario_name}/ (must match /^[a-z0-9]+(-[a-z0-9]+)*$/).
  2. Add a tool.md file following the format above.
  3. Run npm run generate:scenarios to regenerate types and discovery data.

Extended scenarios (accessible via get_prompt):

  1. Create a new directory: prompts/extended/{scenario_name}/ (same naming rules as above).
  2. Add a tool.md file following the format above.
  3. Run npm run generate:scenarios to regenerate types and discovery data.

Deploy

# Deploy to Cloudflare Workers

npm run deploy

After deployment, your MCP endpoint will be: https://agent-never-give-up-mcp. .workers.dev/mcp

License

MIT

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