claude mcp add devdeadends-deadends-dev -- uvx deadends-dev
{
"mcpServers": {
"devdeadends-deadends-dev": {
"command": "uvx",
"args": ["deadends-dev"]
}
}
}
{
"mcpServers": {
"devdeadends-deadends-dev": {
"command": "uvx",
"args": ["deadends-dev"]
}
}
}
{
"mcpServers": {
"devdeadends-deadends-dev": {
"command": "uvx",
"args": ["deadends-dev"]
}
}
}
About This MCP Server
The dev.deadends/deadends-dev server is a Model Context Protocol server that provides structured failure knowledge for AI agents, including information on dead ends, workarounds, and error chains. It connects to AI coding assistants through standard input/output interfaces, enabling them to learn from failures and improve their performance. Developers would reach for this tool when they need to enhance the robustness and reliability of their AI models by incorporating knowledge of potential pitfalls and errors.
Structured failure knowledge for AI agents — dead ends, workarounds, error chains. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the stdio transport.
Package
deadends-dev on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The deadends.dev server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.
