Agent Never Give Up▌
by askman-dev
Agent Never Give Up: structured thinking tools that help coding agents recover from stuck states quickly and reliably.
Structured thinking tools to help coding agents recover from stuck states
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI agents stuck in debugging loops
- / Coding assistants losing track of main objectives
- / Agents with unclear or expanding task scope
- / Automated development workflows hitting analysis paralysis
capabilities
- / Break circular reasoning loops with structured thinking protocols
- / Generate fresh debugging strategies when bug fixes repeatedly fail
- / Identify missing requirements blocking progress
- / Refocus work when scope creep occurs during tasks
- / Realign current actions with original objectives
- / Reset complex logic into manageable steps
what it does
Provides structured debugging protocols to help AI coding agents break out of stuck states and resume productive work without human intervention.
about
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.
how to install
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.
license
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.
readme
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["<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;
Features
- Remote MCP server at
/mcpendpoint (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 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 repeatedly
- Extended scenarios (discovered via
list_scenarios, accessed viaget_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 problems
- Core scenarios (auto-registered as direct MCP tools):
- 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
staticandsamplingmodes - 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
- Open Cursor Settings > MCP.
- Click + Add new global MCP server.
- Use the following configuration (or edit your
~/.cursor/mcp.jsonfile 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
- Open Cline and click the MCP Servers icon (☰).
- Select the Remote Servers tab (if available) or click Configure MCP Servers.
- Edit the
cline_mcp_settings.jsonfile 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
- Open Windsurf.
- Go to File > Settings > Configure MCP Servers (or edit
~/.codeium/windsurf/mcp_config.json). - 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
descriptionexplains 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):
- Create a new directory:
prompts/core/{scenario_name}/(must match/^[a-z0-9]+(-[a-z0-9]+)*$/). - Add a
tool.mdfile following the format above. - Run
npm run generate:scenariosto regenerate types and discovery data.
Extended scenarios (accessible via get_prompt):
- Create a new directory:
prompts/extended/{scenario_name}/(same naming rules as above). - Add a
tool.mdfile following the format above. - Run
npm run generate:scenariosto 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.<account>.workers.dev/mcp
License
MIT
FAQ
- What is the Agent Never Give Up MCP server?
- Agent Never Give Up is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Agent Never Give Up?
- This profile displays 36 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★36 reviews- ★★★★★Shikha Mishra· Dec 20, 2024
I recommend Agent Never Give Up for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Amina Tandon· Dec 8, 2024
We evaluated Agent Never Give Up against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Amina Okafor· Nov 27, 2024
Agent Never Give Up is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Yash Thakker· Nov 11, 2024
Strong directory entry: Agent Never Give Up surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Layla Wang· Oct 18, 2024
Agent Never Give Up is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Dhruvi Jain· Oct 2, 2024
Agent Never Give Up has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Hiroshi Singh· Sep 25, 2024
Agent Never Give Up has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Layla Liu· Sep 25, 2024
Agent Never Give Up is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Nia Ghosh· Sep 13, 2024
Strong directory entry: Agent Never Give Up surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Oshnikdeep· Sep 9, 2024
According to our notes, Agent Never Give Up benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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