pimzino/spec-workflow-mcp

A Model Context Protocol (MCP) server that provides structured spec-driven development workflow tools for AI-assisted software development, featuring a...

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Summary Information

Updated 60 minutes ago
Added to GitGenius on September 16th, 2026
Created on August 7th, 2025
Open Issues & Pull Requests: 10 (+0)
GitHub issues: Enabled
Number of forks: 355
Total Stargazers: 4,293 (+0)
Total Subscribers: 31 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.6 hours
Mean response time: 2.2 days
90th percentile: 4.5 days
Tracked items: 135

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How this project is maintained

About 8% of issues opened in the past year have never received a reply. 90% of issues opened in the past year have since been closed. Three people close 91% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 6
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 45 days
Stale 30+ days: 3
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (59)
  • bug (54)
  • documentation (2)
  • wontfix (1)

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Detailed Description

Spec Workflow MCP is a Model Context Protocol server that integrates structured spec-driven development tools into AI-assisted software development workflows.

The tool addresses the challenge of maintaining coherent project progress when working with AI assistants by providing a framework for spec-driven development. It works by offering a server that implements the Model Context Protocol, allowing AI tools to access and manage project specifications and development state. The project includes a real-time web dashboard for monitoring progress and a VSCode extension that brings these capabilities directly into the editor, enabling developers to track and manage workflow state without leaving their development environment.

Developers should adopt this tool if they work regularly with AI assistants and want to maintain structured specifications throughout their project lifecycle. It suits projects where clear specification management and real-time progress visibility are priorities, particularly those where developers alternate between AI-assisted coding and manual work. The combination of a web dashboard and VSCode integration means you can choose your preferred interface for monitoring and managing project state.

The project shows active development with regular commits across multiple areas of the codebase. Work spans the core MCP server implementation, the web dashboard interface, and the VSCode extension, indicating sustained effort to maintain all three components. The codebase demonstrates attention to both backend functionality and user-facing interfaces, with changes distributed across server logic, dashboard features, and editor integration.