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Spec MCP Server

by karol-f

Spec MCP Server

A Model Context Protocol server designed to streamline development workflows through AI-assisted analysis, planning, and verification.

Features

  • Tech Steering: Automated codebase analysis and documentation

  • Plan Generation: Comprehensive requirement and design documentation

  • Task Breakdown: Detailed task generation with dependencies

  • Implementation Verification: Automated code review and compliance checking

Installation

  1. Configure your AI client (Claude Desktop, Cursor, etc.)

  2. Add the server to your MCP configuration

  3. Start using the tools through your AI interface

Configuration Examples

Visual Studio Code

Add to your VS Code MCP configuration file:

  • Regular VS Code: ~/Library/Application Support/Code/User/mcp.json

  • VS Code Insiders: ~/Library/Application Support/Code - Insiders/User/mcp.json

{ "servers": { "spec": { "command": "npx", "args": [ "-y", "spec-mcp@latest" ] } } }

Zed

  1. Open Zed > Settings > Open Settings (it will open ~/. config/zed/settings.json)

  2. Add a context_servers section to your configuration:

{ "context_servers": { "spec": { "source": "custom", "command": "npx", "args": ["-y", "spec-mcp@latest"], "env": {} } } }

Claude Code (CLI)

For Claude Code CLI, use the following command:

claude mcp add spec-mcp --scope user -- npx -y spec-mcp@latest

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{ "mcpServers": { "spec": { "command": "npx", "args": [ "-y", "spec-mcp@latest" ] } } }

Workflow

The Spec MCP workflow guides you through complex development tasks like framework migrations, feature implementation, or refactoring. Follow these steps:

1. Analyze Codebase (One-time Setup)

Analyze the existing codebase to create steering documents that guide all future operations.

Prompt: Use Spec MCP to analyze the codebase

This creates three steering documents in .spec/steering/:

  • product.md - Product overview and business context

  • tech.md - Technology stack and development guidelines

  • structure.md - Project organization and patterns

Note: You can recreate these documents anytime with

2. Search Documentation

Search documentation for relevant information about frameworks, APIs, or migration guides using e.g. Context7 MCP.

Prompt: Search docs with Context7 MCP for [topic/framework/library]

3. Generate Plan

Create a comprehensive plan based on your requirements and the current codebase context.

Prompt: Create a plan with Spec MCP to [describe your objective]

This generates .spec/specs/plan.md with requirements, design, and traceability.

4. Generate Tasks

Break down the plan into actionable, testable tasks with dependencies.

Prompt: Generate tasks from the plan using Spec MCP

This creates .spec/specs/tasks.md with detailed implementation tasks.

5. Implement Tasks

Execute tasks systematically using the task orchestrator, which handles dependencies and parallelization.

Prompt: Implement tasks from tasks.md using Spec MCP task orchestrator

The orchestrator will:

  • Identify ready tasks based on dependencies

  • Execute tasks through task-executor

  • Verify completion with task-checker

  • Report progress and next available tasks

Available Tools

generate-codebase-analysis

Analyzes codebase and generates three foundational analysis documents: product.md, tech.md, and structure.md in .spec/steering/ directory. These documents provide comprehensive analysis of the product features, technology stack, and project structure.

generate-plan

Creates comprehensive plans from user requirements, combining requirements analysis with technical design.

generate-tasks

Breaks down plan.md into discrete, implementable tasks with requirement traceability, dependencies, and comprehensive acceptance criteria following task structure. Each task links back to specific requirements and includes detailed implementation guidance. Uses current directory if project_path not specified.

task-orchestrator

Analyzes tasks.md to identify dependencies, parallelization opportunities, and coordinate task execution. Returns a structured execution plan for deploying task executors efficiently.

task-executor

Executes a specific task from tasks.md by providing detailed implementation guidance, requirements, acceptance criteria, and code patterns. This tool focuses on implementing one task thoroughly.

verify-implementation

READ-ONLY verification tool that checks completed task implementation against acceptance criteria, runs EXISTING project tests, and reports quality status. This tool ONLY verifies and reports - it does NOT create or modify any files, tests, or code.

License

MIT

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security - not tested
F
license - not found
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quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

Streamlines development workflows through AI-assisted codebase analysis, comprehensive planning, task breakdown with dependencies, and automated implementation verification. Enables systematic approach to complex development tasks like framework migrations and feature implementation.

  1. Features
    1. Installation
      1. Configuration Examples
    2. Workflow
      1. 1. Analyze Codebase (One-time Setup)
      2. 2. Search Documentation
      3. 3. Generate Plan
      4. 4. Generate Tasks
      5. 5. Implement Tasks
    3. Available Tools
      1. generate-codebase-analysis
      2. generate-plan
      3. generate-tasks
      4. task-orchestrator
      5. task-executor
      6. verify-implementation
    4. License

      MCP directory API

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      curl -X GET 'https://glama.ai/api/mcp/v1/servers/karol-f/spec-mcp'

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