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Provide AI agents with coding standards, testing, planning, and requirements guidance.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codeops-mcp" yet — see the docs or source repo.
Using codeops-mcp, create a development plan for adding a refund approval feature to an e-commerce admin system, including requirement breakdown, coding standards, test strategy, and acceptance criteria.
A structured development plan with task breakdown, standards, test checklist, and acceptance criteria.
Use codeops-mcp to review the following Python API code for naming, maintainability, error handling, and test coverage, then provide recommended fixes.
A categorized issue list, risk notes, and actionable improvement recommendations.
With codeops-mcp, expand the brief requirement 'users can reset passwords' into functional requirements, edge cases, failure scenarios, and test cases.
A more complete requirements spec and matching test case list for implementation and validation.
Provides queryable team coding standards and best practices for AI-assisted development.
Validate code rules, automate reviews, and generate reports across multiple stacks.
Let AI assistants use OpenCode CLI and multiple models through one interface.
Build, debug, and manage software tasks with natural language across LLMs.
Aggregate coding plan services for code review, plan review, and AI coding dialogue.
Secure file and directory operations for autonomous AI development workflows.