BMAD Method + StacksFinder MCP: Data-Driven Tech Decisions
The BMAD method provides structure for AI-assisted development. The StacksFinder MCP brings deterministic, data-driven tech decisions into that workflow. Here's how to combine them.
Key Takeaways
- BMAD + MCP = structured, data-driven development
- Use
analyze_tech&list_technologiesin Planning (Phase 2) - Use
compare_techs&recommend_stackin Solutioning (Phase 3) - Document decisions with
create_blueprintin Implementation
What is the BMAD Method?
BMAD ("Build More, Architect Dreams") is an AI-driven agile methodology from bmad-code-org with 21+ specialized agents and 50+ workflows.
The method organizes development into 4 phases. Tech stack decisions happen primarily in phases 2-3, which is where StacksFinder MCP integrates.
Discovery
Brainstorm, research, explore solutions
Planning
Create PRD, tech specs, UX design
list_technologiesanalyze_techSolutioning
Architecture, epics, implementation readiness
compare_techsrecommend_stackImplementation
Sprint planning, story development, code review
create_blueprintget_blueprintBased on the official BMAD-METHOD workflow. See their full diagram.
The Tech Decision Problem
LLM Hallucinations
AI models have training cutoffs and can confidently state outdated or incorrect information about frameworks.
Opinion-Based Advice
"Use React" without context. LLMs reflect popular opinions, not data-driven analysis of your constraints.
Non-Reproducible
Ask the same question twice, get different answers. Makes it impossible to audit or justify decisions.
The Solution: Deterministic Scoring via MCP
The StacksFinder MCP gives your AI assistant access to versioned, deterministic scores for 30+ technologies. Same question = same answer. Every score is explainable and auditable.
MCP Tools Overview
Quick Install (30 seconds)
Add to your Claude Code,
Cursor, or
VS Code configuration:
{
"mcpServers": {
"stacksfinder": {
"command": "npx",
"args": ["-y", "stacksfinder-mcp"]
}
}
} list_technologies FreeGet all 30+ technologies organized by category
"List all available database technologies"
analyze_tech Free6-dimension scores, strengths, weaknesses, compatible techs
"Analyze SvelteKit for a solo developer building an MVP"
compare_techs FreeSide-by-side comparison of 2-4 technologies
"Compare Next.js, SvelteKit, and Remix for a SaaS product"
recommend_stack FreeFull stack recommendation for any project type
"Recommend a stack for an e-commerce MVP with a $50/month budget"
create_blueprint ProGenerate a shareable blueprint with AI narrative
"Create a blueprint for our fintech startup stack"
get_blueprint ProFetch an existing blueprint by ID
"Get blueprint bp_abc123"
When to Use Each MCP Tool
The key insight: use data tools in phases 2-3 before committing to architecture decisions. Phase 1 focuses on business goals (no tech yet), and Phase 4 is about documenting what you decided.
list_technologies analyze_techcompare_techs recommend_stackcreate_blueprint get_blueprintPractical Examples
Scenario: Solo Founder Building a SaaS MVP
Constraints: 1 developer, $50/month budget, need to launch in 6 weeks
I'm starting a B2B SaaS for invoice management. Solo founder, $50/month budget, need to ship in 6 weeks. Help me choose a tech stack using the StacksFinder tools.
I'll use the StacksFinder MCP to get data-driven recommendations. Let me start by getting a full stack recommendation for your constraints...
recommend_stack context: "mvp", budget: "low", team_size: 1Recommended Stack (Score: 89/100)
- Framework: SvelteKit (DX: 92, solo-dev bonus)
- Database: PostgreSQL via Supabase (free tier)
- Auth: Supabase Auth (built-in)
- Hosting: Vercel (free tier)
I've heard good things about Next.js too. How does it compare?
Let me compare them directly for your use case...
compare_techs ["sveltekit", "nextjs"], context: "mvp"SvelteKit vs Next.js for Solo MVP
- SvelteKit: 89 (simpler mental model, less boilerplate)
- Next.js: 84 (larger ecosystem, more learning resources)
Verdict: SvelteKit edges out for solo developers prioritizing speed-to-ship.
Perfect. Let's document this for my pitch deck.
I'll create a shareable blueprint with the rationale...
create_blueprint title: "Invoice SaaS MVP Stack"Blueprint ready: bp_inv_saas_2026
Share link: stacksfinder.com/bp/inv_saas_2026
Includes scoring breakdown, rationale, and export to PDF.
Ready to try data-driven stack decisions?
Frequently Asked Questions
What is the BMAD method?
BMAD stands for "Build More, Architect Dreams" (or Business-Method-Architecture-Development). It is an AI-driven agile methodology from bmad-code-org with 4 phases: Discovery (optional), Planning, Solutioning, and Implementation. It uses specialized AI agents for each phase.
Why use StacksFinder MCP instead of asking the LLM directly?
LLMs have training cutoff dates and can hallucinate about technology capabilities. StacksFinder provides deterministic, versioned scores based on current data. The same question always produces the same answer, making decisions reproducible and auditable.
Which AI coding assistants support the MCP?
The StacksFinder MCP works with Claude Code, Cursor, VS Code Copilot (with MCP support), Windsurf, and any MCP-compatible client. Installation takes under 2 minutes via npx.
Is the MCP free to use?
Yes, the core tools (list_technologies, analyze_tech, compare_techs, recommend_stack) are free with generous rate limits. Pro features like create_blueprint and API access require a subscription.
Can I use BMAD without AI agents?
Absolutely. BMAD is a methodology that works with or without AI. However, combining it with AI agents and the StacksFinder MCP significantly accelerates the research and decision-making phases.
Where can I learn more about BMAD?
The official BMAD repository is at github.com/bmad-code-org/BMAD-METHOD. It includes 21+ specialized agents, 50+ workflows, and comprehensive documentation. The BMadCode YouTube channel also has tutorials.
Start Making Data-Driven Tech Decisions
Install the StacksFinder MCP in under 2 minutes and bring deterministic scoring to your AI workflow.
Free tier includes list_technologies, analyze_tech, compare_techs, and 1 recommend_stack per day.