A Model Context Protocol server that provides development standards and best practices context to AI coding assistants, ensuring generated code adheres to team/project conventions.
A local-first MCP server that gives AI coding assistants persistent, structured, human-readable memory for a software project by storing project knowledge as Markdown files in the project's .dev-context-memory/ folder.
MCP server that provides persistent memory and contextual awareness to language models, enabling project onboarding, recall of architectural rules, and code consistency across sessions.
An open-source server implementing the Model Context Protocol (MCP) that enables capturing insights from AI sessions and transforming them into persistent, searchable knowledge accessible across tools.
A Model Context Protocol (MCP) server that provides intelligent, context-aware access to development standards, enabling LLMs to automatically select and apply appropriate standards based on project requirements.
A customized MCP server that enables integration between LLM applications and documentation sources, providing AI-assisted access to LangGraph and Model Context Protocol documentation.