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5 MCPs · 0 installs total
AI-powered architectural analysis server for software projects. Provides technology stack detection, ADR management, security checks, enhanced TDD workflow, and
MCP server for debugging pytest failures, allowing users to register test failures, apply systematic debugging principles, and analyze failure patterns.
A self-hosted MCP server that provides capability packs for AI agents to perform browser, desktop, git, and code actions via schema-validated JSON calls, enabli
A Model Context Protocol (MCP) server designed to help track pytest failures and resolve errors faster using the 9 principles of debugging.
Ansible collection for testing and auditing Model Context Protocol (MCP) servers. Provides comprehensive modules to verify MCP server implementations, test tool