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Enables AI assistants to leverage the BMAD methodology with 11 specialized agents and 36+ workflows for software development tasks.
Enables AI assistants to leverage the BMAD methodology with 11 specialized agents and 36+ workflows for software development tasks.
A Model Context Protocol server that brings the BMAD Method to AI assistants.
The BMAD MCP Server provides AI assistants with access to 11 specialized agents and 36+ automated workflows from the BMAD (Building Modern Apps Decisively) methodology. Configure once, use everywhere across all your projects.
What is BMAD?
BMAD is a comprehensive software development methodology with specialized AI agents for different roles (Business Analyst, Architect, Developer, UX Designer, etc.) and workflows for common tasks (PRD generation, architecture design, debugging, testing).
Why MCP?
Instead of copying BMAD files to every project, the MCP server provides universal access:
Single bmad tool with intelligent operations:
// List available agents and workflows
{ operation: "list", query: "agents" }
// Read agent details (no execution)
{ operation: "read", type: "agent", agent: "analyst" }
// Execute agent with context
{ operation: "execute", agent: "analyst", message: "Help me..." }
| Agent | Role | Load with |
|---|---|---|
| 📊 Mary | Business Analyst | analyst |
| 🏗️ Winston | System Architect | architect |
| 💻 Amelia | Developer | dev |
| 🎨 Sally | UX Designer | ux-designer |
| 🧪 Murat | Test Architect | tea |
| 📋 John | Product Manager | pm |
| 🔄 Bob | Scrum Master | sm |
| 🐛 Diana | Debug Specialist | debug |
| ... | [+3 more agents] |
prd # Product Requirements Document
architecture # System architecture design
debug-inspect # Comprehensive debugging
atdd # Acceptance test generation
ux-design # UX specifications
party-mode # Multi-agent brainstorming
... and 30+ more
bmad tool for all operationsbmad:// URIsOption 1: npx (Recommended)
Add to your MCP client configuration:
{
"mcpServers": {
"bmad": {
"command": "npx",
"args": ["-y", "bmad-mcp-server"]
}
}
}
Option 2: Global Installation
npm install -g bmad-mcp-server
{
"mcpServers": {
"bmad": {
"command": "bmad-mcp-server"
}
}
}
Option 3: Local Development
git clone https://github.com/mkellerman/bmad-mcp-server.git
cd bmad-mcp-server
npm install
npm run build
{
"mcpServers": {
"bmad": {
"command": "node",
"args": ["/absolute/path/to/bmad-mcp-server/build/index.js"]
}
}
}
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"bmad": {
"command": "npx",
"args": ["-y", "bmad-mcp-server"]
}
}
}
Restart Claude Desktop.
github.copilot.chat.mcp.servers:{
"github.copilot.chat.mcp.servers": {
"bmad": {
"command": "npx",
"args": ["-y", "bmad-mcp-server"]
}
}
}
{
"mcpServers": {
"bmad": {
"command": "npx",
"args": ["-y", "bmad-mcp-server"]
}
}
}
Just ask your AI assistant naturally - it handles the MCP tool calls automatically:
Agent Execution:
You: "Ask Mary to analyze the market opportunity for a SaaS product"
→ AI executes: { operation: "execute", agent: "analyst", message: "..." }
→ Mary (Business Analyst) provides market analysis
Workflow Execution:
You: "Start a PRD workflow for a task management app"
→ AI executes: { operation: "execute", workflow: "prd", message: "..." }
→ John (Product Manager) guides you through PRD creation
Debug Assistance:
You: "Ask Diana to debug this script" (with code attached)
→ AI executes: { operation: "execute", agent: "debug", message: "..." }
→ Diana starts comprehensive debugging workflow
Collaborative Problem Solving:
You: "Start party-mode with the planning team to brainstorm features"
→ AI executes: { operation: "execute", workflow: "party-mode", message: "..." }
→ Multiple agents collaborate on brainstorming session
Architecture Review:
You: "Have Winston review this system design"
→ AI executes: { operation: "execute", agent: "architect", message: "..." }
→ Winston provides architectural guidance
You can also work with the tool directly (useful for development/testing):
List available agents:
{
"operation": "list",
"query": "agents"
}
Execute an agent:
{
"operation": "execute",
"agent": "analyst",
"message": "Help me analyze the market for a SaaS product"
}
Run a workflow:
{
"operation": "execute",
"workflow": "prd",
"message": "Create PRD for task management app"
}
Read agent details:
{
"operation": "read",
"type": "agent",
"agent": "architect"
}
Multi-source loading with Git remotes:
{
"mcpServers": {
"bmad": {
"command": "npx",
"args": [
"-y",
"bmad-mcp-server",
"git+https://github.com/org/custom-bmad.git#main"
]
}
}
}
Custom project root:
{
"mcpServers": {
"bmad": {
"command": "npx",
"args": ["-y", "bmad-mcp-server"],
"env": {
"BMAD_ROOT": "/custom/bmad/location"
}
}
}
}
The server searches for BMAD content in this order:
./bmad/ (highest priority - project customizations)~/.bmad/ (personal defaults)~/.bmad/cache/git/ (shared/team content)# Clone repository
git clone https://github.com/mkellerman/bmad-mcp-server.git
cd bmad-mcp-server
# Install dependencies
npm install
# Build
npm run build
# Run tests
npm test
src/
├── index.ts # MCP server entry point
├── cli.ts # CLI entry point
├── server.ts # MCP server implementation
├── core/
│ ├── bmad-engine.ts # Core business logic
│ └── resource-loader.ts # Multi-source content loading
├── tools/
│ ├── bmad-unified.ts # Unified tool implementation
│ └── operations/ # Operation handlers
├── types/ # TypeScript types
└── utils/ # Utilities
npm run build # Compile TypeScript
npm run dev # Development mode with auto-restart
npm test # Run all tests
npm run test:unit # Unit tests only
npm run test:coverage # Coverage report
npm run lint # Check linting
npm run format # Format code
# Run all tests
npm test
# Run with coverage
npm run test:coverage
# Run specific test suite
npm run test:unit
npm run test:integration
npm run test:e2e
# Watch mode
npm run test:watch
AI Assistant (Claude, Copilot, etc.)
↓ MCP Protocol
MCP Server Layer
↓
BMAD Engine (transport-agnostic)
↓
Resource Loader (multi-source)
↓
BMAD Content (agents, workflows)
bmad tool with modular operationsSee Architecture Documentation for details.
We welcome contributions! Please see our Development Guide for:
git checkout -b feature/my-featurenpm testgit commit -m "feat: add my feature"git push origin feature/my-featureWe use Conventional Commits for commit messages.
ISC © mkellerman
This MCP server is built on the BMAD Method. All methodology, agents, workflows, and best practices are credited to the original BMAD Method project.
Выполни в терминале:
claude mcp add bmad-mcp-server -- npx Web content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
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