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Provide persistent project context, workflow management, and code verification for technical teams.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dev-mcp" yet — see the docs or source repo.
Based on the current project materials, generate a new-member onboarding pack including project goals, code structure, key dependencies, development workflow, common risks, and suggested tasks for the first two weeks.
A structured onboarding guide that helps a new member quickly understand the project and start contributing.
Summarize the current project status, including completed work, pending tasks, blockers, relevant decisions, and next priorities so I can continue in a new session.
A project status brief that can be used to resume work immediately with minimal context rebuilding.
Review this code change for project compliance, verify key logic, identify potential defects, assess test coverage, and flag any release risks with suggested fixes.
A pre-commit verification report highlighting issues, risks, and actionable recommendations.
Give AI coding assistants persistent, structured project memory stored as local Markdown.
Give any LLM direct access to local files, terminal, and codebase tasks.
Secure file and directory operations for autonomous AI development workflows.
Automate task breakdown, dependency tracking, and smart project recommendations.
Maintain persistent project understanding across chats with code search and memory.
Build, debug, and manage software tasks with natural language across LLMs.