wassden
Spec-Driven Development MCP server that transforms any LLM into a systematic development agent
🚀 Generate requirements → design → tasks → code with 100% traceability and validation
⚡ Quick Start (MCP)
# Add to Claude Code
claude mcp add wassden -- uvx --from git+https://github.com/tokusumi/wassden-mcp wassden start-mcp-server --transport stdio
# Test it
uvx --from git+https://github.com/tokusumi/wassden-mcp wassden prompt-requirements --userInput "Create a TODO app"
🎯 What It Does
- ✅ Requirements → Design → Tasks → Code - Complete SDD workflow with structured prompts
- 🔒 100% READ-ONLY - No file modification risk, only analysis and prompt generation
- 🌍 Auto Language Detection - Seamless Japanese/English support
- ⚡ Ultra-fast Performance - <0.01ms response time with 405+ tests passing
- 📊 100% Traceability - Complete REQ↔DESIGN↔TASK mapping enforcement
📦 Installation
Prerequisites
- uv package manager (
pip install uv) - MCP-compatible client (Claude Code, Cursor, GitHub Copilot, etc.)
Claude Code
claude mcp add wassden -- uvx --from git+https://github.com/tokusumi/wassden-mcp wassden start-mcp-server --transport stdio
Cursor, GitHub Copilot, Other MCP Clients
Edit your MCP settings file:
{
"mcpServers": {
"wassden": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/tokusumi/wassden-mcp",
"wassden",
"start-mcp-server",
"--transport",
"stdio"
]
}
}
}
📚 For detailed setup and development installation, see docs/development.md
🚀 Basic Usage
1. Analyze & Generate Requirements
# Analyze project description and generate requirements prompt
uvx --from git+https://github.com/tokusumi/wassden-mcp wassden prompt-requirements \
--userInput "Create a task management API with authentication"
2. Validate Generated Specs
# Validate specifications with auto language detection
uvx --from git+https://github.com/tokusumi/wassden-mcp wassden validate-requirements specs/my-feature/requirements.md
uvx --from git+https://github.com/tokusumi/wassden-mcp wassden validate-design specs/my-feature/design.md
uvx --from git+https://github.com/tokusumi/wassden-mcp wassden validate-tasks specs/my-feature/tasks.md
3. Get Traceability Matrix
# Generate complete dependency mapping
uvx --from git+https://github.com/tokusumi/wassden-mcp wassden get-traceability
Requirements Generation
prompt-requirements - Analyzes input for completeness and generates EARS requirements prompt- Default: Checks completeness, asks questions if incomplete, generates prompt if complete
--force: Skip completeness verification and generate requirements prompt
Design & Planning
prompt-design - Generates architectural design prompt from requirementsprompt-tasks - Creates WBS task breakdown prompt from design
Validation Suite
validate-requirements - Ensures EARS format and completenessvalidate-design - Checks architectural consistencyvalidate-tasks - Verifies task dependencies and coverage
Traceability & Analysis
get-traceability - Complete REQ↔DESIGN↔TASK dependency mappinganalyze-changes - Impact analysis for specification changesgenerate-review-prompt - Task-specific implementation review
📚 See full tool documentation for detailed usage and examples
- Response Time: <0.01ms average (ultra-fast analysis)
- Test Coverage: 405+ tests with 100% passing
- Memory Efficient: <50MB growth per 1000 operations
- Concurrent Support: Handles 20+ parallel tool calls efficiently
🧪 Run benchmarks: python benchmarks/run_all.py
🧪 Development Mode Features (Experimental)
⚠️ NOTE: Experimental features for internal validation and benchmarking. Requires dev installation.
The experiment framework provides validation and benchmarking capabilities for the wassden toolkit itself. These features are only available in development mode:
# Install with dev dependencies
git clone https://github.com/tokusumi/wassden-mcp
cd wassden-mcp
uv sync # Installs all dependencies including dev extras
# Run experiments (dev mode only)
uv run wassden experiment run ears # EARS pattern validation
uv run wassden experiment run performance # Performance benchmarking
uv run wassden experiment run language # Language detection testing
Key Capabilities
- Statistical Analysis: Mean, variance, confidence intervals (REQ-04)
- Experiment Management: Save/load/compare configurations (REQ-05, REQ-06)
- Comparative Analysis: Statistical significance testing (REQ-07)
- Resource Constraints: 10-minute timeout, 100MB memory limit (NFR-01, NFR-02)
📚 See Experiment Framework Documentation for detailed usage
🎯 Use Cases
- Development Teams: Systematic requirements gathering and project planning
- AI Agents: Structured prompts for complex development workflows
- Technical Writers: Automated documentation validation and traceability
- Quality Assurance: Built-in validation with actionable feedback
📚 Documentation
🤝 Contributing
Contributions are welcome! See docs/development.md for development setup.
make check # Run all quality checks before committing
📄 License
MIT License - see LICENSE file for details.
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