Spec Coding MCP is an MCP server tool developed by Feiyun0112, built primarily with TypeScript and JavaScript, running on Node.js. It integrates with AI-powered IDEs and coding assistants compatible with the Model Context Protocol (MCP). This free program helps developers adopt a structured, spec-driven development workflow. It connects AI applications with external data sources and tools, enhancing development phases from goal collection to task execution. Spec Coding MCP generates organized specifications in EARS format, using proven templates for requirements, design, and tasks.

What does Spec Coding MCP connect to?

Spec Coding MCP connects to AI-powered IDEs and AI coding assistants that support the Model Context Protocol (MCP). MCP is an open standard for integrating LLM applications with external data and tools. Compatible AI clients include Claude Code Skill, Claude Desktop, Cursor, Cline, Windsurf, and VS Code. MCP clients can also be integrated into CLI tools, web applications, and Python scripts, allowing Spec Coding MCP to extend its reach across various development environments.

Core features and tools

Spec Coding MCP supports a complete development workflow, guiding users from goal collection to task execution. It provides AI-Powered Guidance with step-by-step instructions for each development phase. The tool generates Structured Documentation, producing organized specifications in EARS format. It is Template-Based, utilizing proven templates for requirements, design, and tasks. Specific actions an AI assistant can perform include creating a spec, listing specs, checking spec status, and viewing spec documents.

Who is it for?

Spec Coding MCP is for developers who use AI coding assistants and IDEs and desire a structured, spec-driven development workflow. It works with any AI-powered IDE except Kiro. The program assists those seeking AI guidance through development phases and automated generation of organized specifications. This tool is ideal for teams implementing EARS format for requirements. Skip this if your development process does not involve AI assistance or a formal specification-driven approach.

How to get started

No credentials are required. The Model Context Protocol uses a JSON-RPC message format over stateful connections.

Use cases

• Spec-driven development: Guides users through creating detailed specifications (requirements, design, tasks) with AI assistance before writing code.
• AI-powered development phase guidance: Provides step-by-step instructions for each stage of the development process, from goal collection to task execution.
• Structured documentation generation: Automatically generates organized specifications in EARS format, utilizing proven templates for requirements, design, and tasks.

Spec Coding MCP offers a valuable approach for developers integrating AI into a structured development lifecycle. It supports major AI IDEs and clients via the Model Context Protocol, providing guidance and automated spec generation. The program emphasizes user consent and control, aligning with open standards. Its focus on EARS format specifications helps maintain project clarity. Try creating a new spec using an MCP-compatible AI assistant to experience its structured development workflow.