Best for
- Teams that want a structured spec-driven workflow for AI-assisted development.
- Developers who need to visualize project progress in their IDE.
- Projects that require an approval process and task tracking for compliance.
This server provides comprehensive spec-driven development features, suitable for AI-assisted development projects that need structured workflows and approval mechanisms. Its security features (such as localhost binding, rate limiting, audit logging) make it suitable for enterprise environments, but it lacks built-in HTTPS and user authentication, which must be supplemented via a reverse proxy. The tool list is not explicitly documented, but based on the description, it is inferred to have tools for creating, listing, executing specs, etc.
Spec Workflow MCP is a Model Context Protocol (MCP) server for structured spec-driven development in AI-assisted software development. It provides a sequential workflow for creating specs (Requirements → Design → Tasks), a real-time web dashboard, and a VSCode extension for monitoring and managing project progress directly in your development environment. Features include an approval workflow with revisions, task progress tracking, implementation logs with code statistics, and support for 11 languages.
npx -y @pimzino/spec-workflow-mcp@latest --dashboard (default port 5000); B) Install the Spec Workflow MCP Extension from the VSCode marketplace. 3. Replace '/path/to/your/project' with your actual project path. For Claude Code CLI, use claude mcp add spec-workflow npx @pimzino/spec-workflow-mcp@latest -- /path/to/your/project. For sandboxed environments, set the SPEC_WORKFLOW_HOME environment variable to redirect global state files.{
"mcpServers": {
"spec-workflow": {
"command": "npx",
"args": [
"-y",
"@pimzino/spec-workflow-mcp@latest",
"/path/to/your/project"
]
}
}
}