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Agent Never Give Up

by askman-devversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.askman-dev/agent-never-give-up

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add agent-never-give-up -- npx -y agent-never-give-up-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account askman-dev, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32602 servers in this category
  • Published to the registry more recently than 1% of the other 32602 servers in this category
  • Basic checks equal to or better than 100% of the other 32602 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent Never Give Up safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 11 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Rystic

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated 2 days ago
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Rystic

by Rystic-Inc

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

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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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