RUN IN TERMINAL
claude mcp add devdeadends-deadends-dev -- uvx deadends-dev
ADD TO claude_desktop_config.json
{
"mcpServers": {
"devdeadends-deadends-dev": {
"command": "uvx",
"args": ["deadends-dev"]
}
}
}
ADD TO .vscode/mcp.json
{
"mcpServers": {
"devdeadends-deadends-dev": {
"command": "uvx",
"args": ["deadends-dev"]
}
}
}
ADD TO .cursor/mcp.json
{
"mcpServers": {
"devdeadends-deadends-dev": {
"command": "uvx",
"args": ["deadends-dev"]
}
}
}
About This MCP Server
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.
