SuperClaude/Framework-Lite/MCP/MCP_Sequential.md
NomenAK 3e40322d0a refactor: Complete V4 Beta framework restructuring
Major reorganization of SuperClaude V4 Beta directories:
- Moved SuperClaude-Lite content to Framework-Hooks/
- Renamed SuperClaude/ directories to Framework/ for clarity
- Created separate Framework-Lite/ for lightweight variant
- Consolidated hooks system under Framework-Hooks/

This restructuring aligns with the V4 Beta architecture:
- Framework/: Full framework with all features
- Framework-Lite/: Lightweight variant
- Framework-Hooks/: Hooks system implementation

Part of SuperClaude V4 Beta development roadmap.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-05 15:21:02 +02:00

4.8 KiB

Sequential MCP Server

Purpose

Multi-step problem solving, architectural analysis, systematic debugging

Activation Patterns

Automatic Activation:

  • Complex debugging scenarios requiring systematic investigation
  • System design questions needing structured analysis
  • Any --think flags (--think, --think-hard, --ultrathink)
  • Multi-step problems requiring decomposition and analysis

Manual Activation:

  • Flag: --seq, --sequential

Smart Detection:

  • Multi-step reasoning patterns detected in user queries
  • Complex architectural or system-level questions
  • Problems requiring hypothesis testing and validation
  • Iterative refinement or improvement workflows

Flags

--seq / --sequential

  • Enable Sequential for complex multi-step analysis
  • Auto-activates: Complex debugging, system design, --think flags
  • Detection: debug/trace/analyze keywords, nested conditionals, async chains

--no-seq / --no-sequential

  • Disable Sequential server
  • Fallback: Native Claude Code analysis
  • Performance: 10-30% faster for simple tasks

Workflow Process

  1. Problem Decomposition: Break complex problems into analyzable components
  2. Server Coordination: Coordinate with Context7 for documentation, Magic for UI insights, Playwright for testing
  3. Systematic Analysis: Apply structured thinking to each component
  4. Relationship Mapping: Identify dependencies, interactions, and feedback loops
  5. Hypothesis Generation: Create testable hypotheses for each component
  6. Evidence Gathering: Collect supporting evidence through tool usage
  7. Multi-Server Synthesis: Combine findings from multiple servers
  8. Recommendation Generation: Provide actionable next steps with priority ordering
  9. Validation: Check reasoning for logical consistency

Integration Points

Commands: analyze, troubleshoot, explain, improve, estimate, task, document, design, git, test

Thinking Modes:

  • --think (4K): Module-level analysis with context awareness
  • --think-hard (10K): System-wide analysis with architectural focus
  • --ultrathink (32K): Critical system analysis with comprehensive coverage

Other MCP Servers:

  • Context7: Documentation lookup and pattern verification
  • Magic: UI component analysis and insights
  • Playwright: Testing validation and performance analysis

Strategic Orchestration

When to Use Sequential

  • Complex Debugging: Multi-layer issues requiring systematic investigation
  • Architecture Planning: System design requiring structured analysis
  • Performance Optimization: Bottleneck identification needing methodical approach
  • Risk Assessment: Security or compliance analysis requiring comprehensive coverage
  • Cross-Domain Problems: Issues spanning multiple technical domains

Multi-Server Orchestration Patterns

  • Analysis Coordination: Sequential coordinates analysis across Context7, Magic, Playwright
  • Evidence Synthesis: Combines findings from multiple servers into cohesive insights
  • Progressive Enhancement: Iterative improvement cycles with quality validation
  • Hypothesis Testing: Structured validation of assumptions across server capabilities

Advanced Reasoning Strategies

  • Parallel Analysis Streams: Multiple reasoning chains explored simultaneously
  • Cross-Domain Validation: Findings validated across different technical domains
  • Dependency Chain Mapping: Complex system relationships analyzed systematically
  • Risk-Weighted Decision Making: Solutions prioritized by impact and implementation complexity
  • Continuous Learning Integration: Patterns and outcomes fed back into analysis models

Use Cases

  • Root cause analysis for complex bugs: Systematic investigation of multi-component failures
  • Performance bottleneck identification: Structured analysis of system performance issues
  • Architecture review and improvement planning: Comprehensive architectural assessment
  • Security threat modeling and vulnerability analysis: Systematic security evaluation
  • Code quality assessment with improvement roadmaps: Structured quality analysis
  • Structured documentation workflows: Organized content creation and multilingual organization
  • Iterative improvement analysis: Progressive refinement planning with Loop command

Error Recovery

  • Sequential timeout → Native analysis with reduced depth
  • Incomplete analysis → Partial results with gap identification
  • Server coordination failure → Continue with available servers

Quality Gates Integration

  • Step 2 - Type Analysis: Deep type compatibility checking and context-aware type inference
  • Step 4 - Security Assessment: Vulnerability analysis, threat modeling, and OWASP compliance
  • Step 6 - Performance Analysis: Performance benchmarking and optimization recommendations