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Govern collaborative development with file-based workflows via MCP server and CLI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "lrnev" yet — see the docs or source repo.
Set up governance rules for our collaborative development project: use repository files as the single source of truth, define requirements, tasks, approvals, change logs, and delivery workflows, and suggest a directory structure and configuration suitable for execution through the MCP server and CLI.
A practical project governance plan including file structure, workflow rules, role responsibilities, and execution guidance.
Based on this project goal, generate a traceable task breakdown and approval workflow for the development team. Each task must map to file-based records and include status fields, owners, dependencies, acceptance criteria, and change history.
A structured task list and approval mechanism ready to be used in repository governance files.
Check whether the current project files keep requirements, tasks, change logs, and delivery status consistent. Identify missing items, conflicts, and incomplete workflows, then provide remediation suggestions suitable for batch handling via CLI.
A consistency review report listing issues, impact scope, and recommended remediation steps.
Analyze project structure, read files, and understand codebases with context.
Connect AI to GitLab for managing projects, issues, merge requests, and files.
Search code, read files, and manage GitLab projects via API.
Access and manage engineering docs with traceable support for requirements, tests, and impact analysis.
Analyze code, collect code assets, and generate technical documentation automatically.
Connect GitHub repos so AI can analyze and build from real code.