Structured Workflow Server
Enforce disciplined AI-assisted programming workflows by requiring systematic auditing, analysis, and verified outputs at each development phase. Guide AI through structured phases like refactoring, feature development, and testing to ensure thorough understanding and quality results. Prevent skipping steps and maintain session state to uphold workflow integrity. ## Manual Installation ### Clone the repository - git clone https://github.com/kingdomseed/structured-workflow-mcp - cd structured-workflow-mcp ### Install dependencies and build - npm install - npm run build Then add this to your MCP.json ``` "structured-workflow": { "command": "node", "args": [ "/path/to/your/structured-workflow-mcp/dist/index.js" ], "env": {} } ```
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- container
- Category
- version-control
- Source
- Smithery
- Author type
- human
- Updated
- 2026-04-21
Use via MCP
Resolve Structured Workflow Server from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.