Agent Never Give Up MCP
A

Agent Never Give Up MCP

An MCP server designed for AI programming agents that provides a structured thinking protocol to help agents recover autonomously when facing difficulties without human intervention.
2.5 points
6.6K

What is Agent Never Give Up MCP?

This is an 'escape guide' server specifically designed for AI programming assistants. When an AI assistant encounters difficulties during task execution (such as getting stuck in circular reasoning, failing to fix bugs, or lacking information), it can call this tool to obtain structured thinking guidance, thus recovering autonomously and continuing to work without human intervention.

How to use Agent Never Give Up MCP?

This is a cloud-hosted MCP server that does not require local installation. Simply add the server configuration to the AI tools you use (such as Cursor, Claude Desktop, Windsurf, etc.), and the AI assistant can automatically call the corresponding tools when needed.

Applicable Scenarios

When an AI assistant encounters the following situations during programming tasks: • The logic is too complex, leading to circular reasoning. • Multiple attempts to fix bugs have failed. • The requirements are unclear or information is missing. • The analysis takes too long, resulting in analysis paralysis. • The main goal is forgotten or the task scope expands. • The completion criteria are uncertain.

Main Features

Core Scenario Tools
Eight directly registered automatic tools that cover the most common卡顿 situations, including complex logic, failed bug fixes, missing requirements, and lost goals. It is not new.
Extended Scenario Library
Extended scenarios accessed through list_scenarios and get_prompt, including long analysis, unclear acceptance criteria, and incorrect detail levels. It is new.
Dual-Mode Support
Each tool supports both static and sampling modes to meet different usage needs. It is not new.
Community-Contributed Prompts
Prompts are organized through Markdown files, supporting community contributions and extensions, and are easy to maintain and update. It is new.
Cloud Deployment
Deployed based on Cloudflare Workers, no local installation is required, and it is ready to use. It is not new.
Discovery Tools
Provides list_scenarios to list all scenarios and get_prompt to access specific scenario prompts. It is not new.
Advantages
Improve AI assistant autonomy: Reduce dependence on human assistance and improve work efficiency.
Structured thinking guidance: Provide clear steps and frameworks to help AI systematically solve problems.
Easy to integrate: Support mainstream AI development tools with simple configuration.
Cloud service: No local installation and maintenance required.
Scalability: Support community contributions of new scenarios and prompts.
Free to use: The v0 version is completely free and does not require authentication.
Limitations
Dependent on network connection: Requires access to the cloud server.
Limited scenario coverage: Although multiple scenarios are provided, it may not cover all special situations.
Requires active invocation by the AI assistant: The AI needs to recognize that it is in a卡顿 state.
Prompt quality depends on community contributions: The quality of extended scenarios may vary.

How to Use

Select Your AI Tool
Choose the corresponding configuration method according to the AI programming assistant you use. It supports mainstream tools such as Cursor, Claude Desktop, Cline, and Windsurf.
Add MCP Server Configuration
Add the Agent Never Give Up server configuration to the MCP settings of the tool. Here is an example of Cursor's configuration:
Restart the AI Tool
Restart your AI tool after saving the configuration to make the configuration take effect.
Start Using
The AI assistant will automatically call the corresponding tools when encountering difficulties during task execution, or you can manually guide it to use specific scenarios.

Usage Examples

Example 1: Logic is Too Complex
The AI assistant gets stuck in circular reasoning when implementing a complex algorithm and cannot determine the best implementation method.
Example 2: Bug Fixes Repeatedly Fail
The AI assistant has tried to fix a bug five times, and each modification has introduced new problems or failed to completely solve the problem.
Example 3: Requirements are Unclear
The user's requirement description is vague, and the AI assistant is unsure of the specific functions to be implemented.

Frequently Asked Questions

Is this tool free?
Do I need programming knowledge to use it?
Which AI tools are supported?
How can I contribute new scenario prompts?
How is data privacy protected?
What should I do if the server is unavailable?

Related Resources

Official GitHub Repository
Source code, documentation, and contribution guidelines.
MCP Protocol Documentation
Official specification of the Model Context Protocol.
Cloudflare Workers
Documentation for the deployment platform.
Online Demo
Server status and basic information.

Installation

Copy the following command to your Client for configuration
{
  "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"
    }
  }
}

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

{
  "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"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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