spec-coding-mcp
Transform feature ideas into production-ready code through systematic Spec-Driven Development 通过系统化的**规格驱动开发**,将功能想法转化为可投入生产的代码
Install / Use
claude mcp add feiyun0112 -- npx -y github:feiyun0112/spec-coding-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of spec-coding-mcp
spec-coding-mcp scores 69/100 on our quality scale, 3857th of 4,617 Development & Engineering skills we index.
Its MCP Server is 4.4 KB long, split into 5 sections and no code examples: a solid amount of guidance for an agent.
It has 50 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated about 10 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-10-21 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 94/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
spec-coding-mcp compared with similar skills
All 4 of these similar skills score higher than spec-coding-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| spec-coding-mcp (this skill)by feiyun0112 | 69 | 50 | 10mo ago | MCP Server |
| taste-skillby Leonxlnx | 100 | 110.6k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 69.8k | today | CLAUDE.md |
Frequently asked questions
- How do I install spec-coding-mcp?
- Run
claude mcp add feiyun0112 -- npx -y github:feiyun0112/spec-coding-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does spec-coding-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is spec-coding-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 94/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is spec-coding-mcp still maintained?
- The repository was last updated about 10 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubSpec Coding MCP Server
Transform feature ideas into production-ready code through systematic Spec-Driven Development
What is Spec-Driven Development?
Spec-Driven Development is, simply put, a software development process where clear, detailed specifications serve as the core driver throughout the entire development workflow. These specifications cover various aspects such as functional requirements, performance metrics, interface definitions, and data formats of the software system, acting like blueprints in construction to clearly outline what the final software should look like for developers.
The core of spec-driven development is to transform vague requirements into an executable, traceable, and verifiable development process through standardized specification documents. Essentially, it integrates the rigor of traditional software engineering into AI programming, turning development from "vibe coding" (relying on intuition) into a controllable engineering process.
The key to spec-driven development is the "Spec folder" — each functional module corresponds to a Spec folder containing 3 core files that "materialize" requirements, designs, and tasks:
-
1.requirements.md (Requirements Document) — Uses EARS syntax (Easy Approach to Requirements Syntax) to write user stories and acceptance criteria, avoiding vague expressions.
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2.design.md (Technical Solution) — Includes details such as architectural design, process logic, technology selection, and potential risks.
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3.tasks.md (Task List) — Breaks down the technical solution into executable specific tasks (todolist).
Implementing Spec-Driven Development with spec-coding-mcp
The MCP in
spec-coding-mcpstands for Model Context Protocol, which is an important bridge connecting external tools with the AI IDE. As long as your AI IDE can use MCP, you can usespec-coding-mcp.
Here, we'll take GitHub Copilot as an example to introduce how to use spec-coding-mcp.
1. Configure Vs Code
To make GitHub Copilot work with Spec-Coding-MCP, you first need to set up MCP server information in the relevant configuration files.
Visit NuGet.org, search for SpecCodingMcpServer, and you'll see the "MCP Server" tab:

Add a .vscode/mcp.json file to your Vs Code workspace, copy the json from the "MCP Server" tab into it, and save. Then click start above:

SpecCodingMcpServer requires .NET 10 to run. Please ensure you have .NET 10 installed locally (https://dotnet.microsoft.com/en-us/download/dotnet/10.0)

2. Start the Spec-Driven Development Process
- 1.Function Definition: Issue the instruction "Start spec coding" to GitHub Copilot, then specify the specific function, such as "Create a Vue to-do app", add relevant details, and proceed to the next step after confirmation.



- 2.Requirements Collection: Copilot will start the requirements collection phase, generate a requirements document in EARS format, and proceed to the design phase after confirming the requirements are correct.

- 3.Design Document: Based on the confirmed requirements, Copilot will generate a comprehensive technical architecture design document. Proceed to task planning after confirming the design is acceptable.

- 4.Task Planning: Copilot will decompose the design and requirements into a list of executable tasks, ultimately generating a complete Spec folder structure containing requirements.md, design.md, and tasks.md.

- 5.Task Execution: Enter the specific execution phase after confirming the task plan. Copilot will execute tasks one by one until development is complete.




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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
