Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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.
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
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。
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。
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
注册名称已通过 GitHub 账户 askman-dev 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
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。
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。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Rystic
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Start, seed, clock, inspect and diff Rystic API simulators from your agent.
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。
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:
%% 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;
/mcp endpoint (Streamable HTTP specification compliant)logic-is-too-complex – for circular reasoning or over-complicated logicbug-fix-always-failed – for repeated failed bug fix attemptsmissing-requirements – for unclear or missing requirementslost-main-objective – for when current actions feel disconnected from the original goalscope-creep-during-task – for when changes expand beyond the original task scopelong-goal-partially-done – for multi-step tasks where remaining work is forgottenstrategy-not-working – for when the same approach fails repeatedlylist_scenarios, accessed via get_prompt):analysis-too-long – for excessive analysis timeunclear-acceptance-criteria – for undefined acceptance criteriawrong-level-of-detail – for working at wrong abstraction levelconstraints-cant-all-be-met – for conflicting requirements or constraintsblocked-by-environment-limits – for environmental blockers vs logic problemslist_scenarios – list all scenarios with their tier (core/extended)get_prompt – access any scenario (core or extended)static and sampling modesSince 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.
~/.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" } } }
To configure the server for Claude Desktop, edit the configuration file located at:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonAdd the following entry to the mcpServers object:
{
"mcpServers": { "agent-never-give-up": { "type": "http", "url": "https://agent-never-give-up-mcp.askman.dev/mcp" } } }
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" } } }
~/.codeium/windsurf/mcp_config.json).{
"mcpServers": { "agent-never-give-up": { "type": "http", "url": "https://agent-never-give-up-mcp.askman.dev/mcp" } } }
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.
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
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.
Keep it concrete.
...
...
Key principles:
description explains *when* to use the tool (the trigger condition)See prompts/AGENTS.md for detailed guidance on writing effective prompts.
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):
prompts/core/{scenario_name}/ (must match /^[a-z0-9]+(-[a-z0-9]+)*$/).tool.md file following the format above.npm run generate:scenarios to regenerate types and discovery data.Extended scenarios (accessible via get_prompt):
prompts/extended/{scenario_name}/ (same naming rules as above).tool.md file following the format above.npm run generate:scenarios to regenerate types and discovery data.# Deploy to Cloudflare Workers
npm run deploy
After deployment, your MCP endpoint will be: https://agent-never-give-up-mcp. .workers.dev/mcp
MIT