Deadends
Structured failure knowledge for AI agents — dead ends, workarounds, error chains
What is Deadends?
Deadends is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to structured failure knowledge for ai agents — dead ends, workarounds, error chains
Structured failure knowledge for AI agents — dead ends, workarounds, error chains
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Structured failure knowledge for AI agents — dead ends, work
Use Cases
Maintainer
Works with
Installation
PIP
pip install deadends-devManual Installation
pip install deadends-devConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Deadends
What is Deadends?
Deadends is a Model Context Protocol (MCP) server that structured failure knowledge for ai agents — dead ends, workarounds, error chains It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Deadends?
Install via pip with: pip install deadends-dev. Then configure your AI client to connect to this MCP server.
Which AI clients work with Deadends?
Deadends works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Deadends free to use?
Yes, Deadends is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Deadends in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Deadends?
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