CLI Agent MCP

Invoke OpenAI Codex CLI agent for deep code analysis and critical review.

CAPABILITIES:

• Strongest deep analysis and reflection abilities

• Excellent at finding issues, edge cases, and potential bugs

• Good at critical code review and architectural assessment

LIMITATIONS:

• Tends to over-engineer solutions or over-simplify features

• May suggest unnecessary abstractions

BEST PRACTICES:

• Be explicit about scope: "Only fix X, don't refactor Y"

• Specify constraints: "Keep it simple, no new abstractions"

• Use for: Code review, bug hunting, security analysis

SUPPORTS: Image attachments for UI/screenshot analysis

Invoke Google Gemini CLI agent for UI design and comprehensive analysis.

CAPABILITIES:

• Strongest UI design and image understanding abilities

• Excellent at rapid UI prototyping and visual tasks

• Great at inferring original requirements from code clues

• Best for full-text analysis and detective work

LIMITATIONS:

• Not good at summarization (outputs can be verbose)

• May need full_output=true for research tasks

BEST PRACTICES:

• Use for: UI mockups, image analysis, requirement discovery

• Enable full_output when doing research or analysis

• Good first choice for "understand this codebase" tasks

Invoke Anthropic Claude CLI agent for code implementation.

CAPABILITIES:

• Strongest code writing and implementation abilities

• Excellent at translating requirements into working code

• Good at following patterns and conventions

LIMITATIONS:

• May leave compatibility shims or legacy code paths

• Sometimes adds unnecessary backwards-compatibility

BEST PRACTICES:

• Be explicit about target: "Replace old implementation completely"

• Specify cleanup: "Remove deprecated code paths"

• Use for: Feature implementation, refactoring, code generation

SUPPORTS: Custom system prompts via system_prompt or append_system_prompt, agent selection via agent parameter

Invoke OpenCode CLI agent for full-stack development.

CAPABILITIES:

• Excellent at rapid prototyping and development tasks

• Good at working with multiple frameworks and tools

• Supports multiple AI providers (Anthropic, OpenAI, Google, etc.)

LIMITATIONS:

• May need explicit model selection for best results

• Permission system differs from other CLI agents

BEST PRACTICES:

• Use for: Rapid prototyping, multi-framework projects

• Specify agent type for specialized tasks (e.g., --agent build)

• Use file attachments for context-heavy tasks

SUPPORTS: File attachments, multiple agents (build, plan, etc.)