by askman-dev
Agent Never Give Up: structured thinking tools that help coding agents recover from stuck states quickly and reliably.
Provides structured debugging protocols to help AI coding agents break out of stuck states and resume productive work without human intervention.
Agent Never Give Up is an official MCP server published by askman-dev that provides AI assistants with tools and capabilities via the Model Context Protocol. Agent Never Give Up: structured thinking tools that help coding agents recover from stuck states quickly and reliably. It is categorized under developer tools. This server exposes 9 tools that AI clients can invoke during conversations and coding sessions.
You can install Agent Never Give Up in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
MIT
Agent Never Give Up is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
I recommend Agent Never Give Up for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Agent Never Give Up against two servers with overlapping tools; this profile had the clearer scope statement.
Agent Never Give Up is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Agent Never Give Up surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Agent Never Give Up is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Agent Never Give Up has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Agent Never Give Up has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Agent Never Give Up is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Agent Never Give Up surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Agent Never Give Up benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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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["<b>User Query & Agent Loop</b><br/>(Claude Code / Windsurf / Cursor)<br/>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<br/>(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["<b>Metacognitive Protocol</b><br/>Structured markdown to:<br/>1. Re-anchor goal<br/>2. Summarize failures<br/>3. Propose NEW strategy"]
%% 5. The Outcome
R1 --> Result["<b>Autonomous Recovery</b><br/>Agent unblocks itself &<br/>resumes execution<br/>(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.
## 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:
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.<account>.workers.dev/mcp
MIT
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.