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MCP server that enables AI coding assistants to use spec-driven development practices via the GitHub Spec-Kit toolkit.

• 🎯 100% Spec-Kit Coverage: All 10 tools for complete spec-driven development
• 🚀 MCP Protocol: Full JSON-RPC 2.0 implementation for AI agents
• ⚡ High Performance: Built with Rust and Tokio for async I/O
• 🔧 Dual Installation: Install via cargo or npx
• 🛡️ Type Safe: Comprehensive type system with validation
• 📚 Comprehensive Docs: Tutorials, examples, and configuration guides
• 🌐 Multi-Editor Support: Claude Code, Cursor, Windsurf, VS Code, and more
• 🧪 Production Ready: Tested, documented, and deployed

Fast, reliable, works offline:

cargo install spec-kit-mcp

Advantages:

• ✅ Fastest startup
• ✅ Works offline
• ✅ Most reliable
• ✅ Full platform support (macOS Intel/ARM, Linux)

For Node.js users:

# Global installation
npm install -g @lsendel/spec-kit-mcp
# Or use with npx (downloads on first use)
npx @lsendel/spec-kit-mcp

Advantages:

• ✅ Familiar for Node.js users
• ✅ Auto-downloads prebuilt binaries
• ✅ npx always uses latest version

• Python 3.11+: Required by GitHub spec-kit
• uv package manager: Required to run spec-kit (install from https://docs.astral.sh/uv/)
• GitHub Spec-Kit: No separate installation needed - the MCP server uses uvx to run spec-kit directly
• Node.js 18+: Only if using npx installation method
• Git: For version control operations

Note: The spec-kit CLI is not available on PyPI. The MCP server automatically runs it via uvx --from git+https://github.com/github/spec-kit.git

Claude Code supports two ways to configure MCP servers:

First install via cargo:

cargo install spec-kit-mcp

Then configure ~/.config/claude-code/mcp.json:

{
 "mcpServers": {
 "spec-kit": {
 "command": "spec-kit-mcp",
 "args": [],
 "env": {}
 }
 }
}

Advantages:

• ✅ Fastest startup (<100ms)
• ✅ Works offline
• ✅ Most reliable
• ✅ Supports all platforms (macOS Intel/ARM, Linux)

Create or edit ~/.config/claude-code/mcp.json:

{
 "mcpServers": {
 "spec-kit": {
 "command": "npx",
 "args": ["-y", "@lsendel/spec-kit-mcp"],
 "env": {}
 }
 }
}

Advantages:

• ✅ No installation required
• ✅ Always uses latest version
• ✅ Good for trying it out

Note: First run may be slower as it downloads the binary.

1. Restart Claude Code after editing the config file

2. Test the MCP tools in Claude Code:

List all available MCP tools

You should see 10 spec-kit tools listed:

• speckit_init
• speckit_check
• speckit_constitution
• speckit_specify
• speckit_plan
• speckit_tasks
• speckit_implement
• speckit_clarify
• speckit_analyze
• speckit_checklist

3. Try a simple command:

Use speckit_check to verify my development environment

Issue: Tools not appearing after restart

Solution:

1. Check config file location: cat ~/.config/claude-code/mcp.json
2. Verify JSON syntax: cat ~/.config/claude-code/mcp.json | jq
3. Check Claude Code logs: ~/.config/claude-code/logs/
4. For npx method, ensure Node.js is installed: node --version
5. For binary method, verify installation: which spec-kit-mcp

Issue: spec-kit-mcp: command not found (Method 2)

Solution:

• Use Method 1 (npx) instead, or
• Add npm global bin to PATH: export PATH="$PATH:$(npm config get prefix)/bin"

Need help with other editors? See the Complete Configuration Guide for Cursor, Windsurf, VS Code, and more.

• 📖 Comprehensive Tutorials - Step-by-step guides for all skill levels
• 💡 Examples - Real-world project examples
• ⚙️ Configuration Guide - Setup for different AI assistants
• 🚀 Usage Guide - Detailed usage documentation

New to Spec-Kit? Start here:

1. Tutorial 1: Your First Spec-Kit Project (20 min)
2. Todo CLI Example - Complete beginner example
3. Configuration for Your Editor

Building APIs? Check out:

• Tutorial 2: Building a REST API
• Blog API Example - Production-ready API example

Working with teams?

• Tutorial 4: Team Collaboration
• CI/CD Integration

The MCP server exposes 10 spec-kit tools for the complete workflow:

Initialize a new spec-kit project with proper structure.

{
 "project_name": "my-project",
 "project_path": "."
}

Create project governing principles and development standards.

{
 "principles": "Simplicity, Performance, Security",
 "constraints": "Must support Python 3.11+",
 "output_path": "./speckit.constitution"
}

Define requirements and user stories (the "what").

{
 "requirements": "User authentication system with OAuth2 support",
 "user_stories": "As a user, I want to login with Google...",
 "output_path": "./speckit.specify"
}

Create a technical implementation plan (the "how").

{
 "spec_file": "./speckit.specify",
 "tech_stack": "Rust + Tokio",
 "output_path": "./speckit.plan"
}

Generate actionable task lists from the plan.

{
 "plan_file": "./speckit.plan",
 "breakdown_level": "medium",
 "output_path": "./speckit.tasks"
}

Execute implementation according to the task list.

{
 "task_file": "./speckit.tasks",
 "context": "Using Rust with async/await",
 "output_dir": "./src"
}

Request clarification on ambiguous requirements or specifications.

{
 "spec_file": "./speckit.specify",
 "questions": "How should we handle edge cases?"
}

Analyze code for quality, compliance, and technical debt.

{
 "target_path": "./src",
 "check_constitution": true,
 "output_format": "markdown"
}

Validate that required tools are installed for spec-kit development.

{
 "check_speckit": true,
 "check_git": true,
 "check_ai_tools": true
}

Generate review checklists to verify implementation completeness.

{
 "spec_file": "./speckit.specify",
 "task_file": "./speckit.tasks",
 "output_path": "./checklist.md"
}

See all tools in action: Check out the Examples directory for complete workflows

Here's a complete workflow using Claude Code:

User: Initialize a new spec-kit project called "user-auth"
Claude: [Uses speckit_init tool]
✓ Project initialized at ./user-auth
User: Create a constitution focusing on security and simplicity
Claude: [Uses speckit_constitution tool]
✓ Constitution created at ./speckit.constitution
User: Specify requirements for OAuth2 authentication
Claude: [Uses speckit_specify tool]
✓ Specification created at ./speckit.specify
User: Create a technical plan using Rust and OAuth2 libraries
Claude: [Uses speckit_plan tool]
✓ Technical plan created at ./speckit.plan
User: Generate detailed tasks
Claude: [Uses speckit_tasks tool]
✓ Task list created at ./speckit.tasks
 Found 15 actionable tasks

AI Agent (Claude Code, Cursor, etc.)
 ↓
MCP Protocol (JSON-RPC 2.0 over stdio)
 ↓
Spec-Kit MCP Server (Rust/Tokio)
 ↓
Tool Registry & Dispatcher
 ↓
Spec-Kit CLI Integration Layer
 ↓
Spec-Kit Python CLI (subprocess)
 ↓
File System (speckit.* artifacts)

git clone https://github.com/yourusername/spec-kit-mcp.git
cd spec-kit-mcp
cargo build --release

cargo test

# With default settings
cargo run
# With custom log level
cargo run -- --log-level debug
# With custom CLI path
cargo run -- --cli-path /path/to/specify
# With custom timeout
cargo run -- --timeout 600

spec-kit-mcp/
├── src/
│ ├── main.rs # Binary entry point
│ ├── lib.rs # Library root
│ ├── mcp/ # MCP protocol implementation
│ │ ├── types.rs # JSON-RPC types
│ │ ├── protocol.rs # Protocol handler
│ │ ├── transport.rs # Stdio transport
│ │ └── server.rs # MCP server
│ ├── speckit/ # Spec-kit CLI integration
│ │ ├── cli.rs # Command execution
│ │ └── errors.rs # Error types
│ └── tools/ # MCP tools
│ ├── mod.rs # Tool registry
│ ├── init.rs # speckit_init tool
│ ├── constitution.rs # speckit_constitution tool
│ ├── specify.rs # speckit_specify tool
│ ├── plan.rs # speckit_plan tool
│ └── tasks.rs # speckit_tasks tool
├── Cargo.toml # Rust package manifest
└── README.md # This file

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

1. Fork the repository
2. Create a feature branch: git checkout -b feature/my-feature
3. Make your changes
4. Run tests: cargo test
5. Run clippy: cargo clippy
6. Format code: cargo fmt
7. Commit with conventional commits: git commit -m "feat: add new feature"
8. Push and create a Pull Request

• ✅ All 10 spec-kit tools implemented (100% coverage)
• ✅ MCP protocol support (JSON-RPC 2.0)
• ✅ Dual distribution (cargo + npx)
• ✅ Comprehensive error handling
• ✅ Complete tutorials and examples
• ✅ Configuration guides for major editors
• ✅ Published to crates.io and npm

• Enhanced tool parameters and validation
• Configuration file support (.speckit-mcp.toml)
• Template system for common project types
• Performance optimizations and caching
• Windows platform support
• Web-based tool output visualization

• Remote MCP via Server-Sent Events (SSE)
• Web UI dashboard for project visualization
• Template marketplace integration
• Team collaboration features (shared constitutions)
• Metrics and analytics dashboard
• Plugin system for custom tools

• Cold start: <500ms
• Tool invocation: <200ms (excluding spec-kit CLI execution)
• Memory usage: <50MB baseline
• Concurrent requests: 10+

• ✅ Claude Code
• ✅ Cursor
• ✅ GitHub Copilot (with MCP support)
• ✅ Any MCP-compatible client

• ✅ macOS (Intel and ARM)
• ✅ Linux (x86_64)
• ⏳ Windows (planned)

Error: spec-kit CLI not found!

Solution: Ensure uv package manager is installed:

# Check if uv is installed
uv --version
# If not installed, install uv (macOS/Linux)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Or using pip
pip install uv
# Test spec-kit access
uvx --from git+https://github.com/github/spec-kit.git specify check

Note: The spec-kit CLI is not available as a standalone package. The MCP server uses uvx to run it directly from GitHub.

Solution: Upgrade to Python 3.11 or later:

# Check version
python3 --version
# Install Python 3.11+ (macOS with Homebrew)
brew install python@3.11

Solution: Ensure the binary is executable:

chmod +x $(which spec-kit-mcp)

Q: Do I need to install spec-kit separately? A: Yes, the MCP server requires the spec-kit Python CLI to be installed.

Q: Can I use this without Claude Code? A: Yes! It works with any MCP-compatible AI coding assistant.

Q: Does this work offline? A: Yes, if installed via cargo. The npx version requires internet for initial download.

Q: How does this compare to using spec-kit directly? A: This MCP server enables AI agents to use spec-kit automatically, streamlining the workflow.

This project is dual-licensed under:

• MIT License (LICENSE-MIT or http://opensource.org/licenses/MIT)
• Apache License 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)

You may choose either license for your use.

• GitHub Spec-Kit - The underlying spec-driven development toolkit
• Model Context Protocol - The protocol enabling AI-tool integration
• Anthropic Claude - AI assistant that inspired this integration
• Rust Community - For excellent async tooling (Tokio, Serde, etc.)

• Crates.io: https://crates.io/crates/spec-kit-mcp
• Docs.rs: https://docs.rs/spec-kit-mcp
• GitHub: https://github.com/yourusername/spec-kit-mcp
• Issues: https://github.com/yourusername/spec-kit-mcp/issues
• Spec-Kit: https://github.com/github/spec-kit

Built with Rust | Production Ready | Open Source