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Free certification prep for the Claude Certified Architect exam. 390 scenario-based questions, guided capstone build, 30 concept handouts, 6 reference projects,
Free certification prep for the Claude Certified Architect exam. 390 scenario-based questions, guided capstone build, 30 concept handouts, 6 reference projects, practice exams, interactive UI with clickable answer cards, progress dashboard, spaced repetition, and deterministic grading. Everything runs locally — no cloud, no accounts, no telemetry.
Adaptive certification prep powered by the Model Context Protocol.
390 questions. Guided capstone build. 30 concept handouts. 6 reference projects. Practice exams. Interactive dashboard. Spaced repetition. Zero sycophancy.
Quick Start • Learning Path • Interactive Experience • Assessment • Handouts • Practice • Capstone Build • Practice Exams • Dashboard • Reference Projects • Tools • Architecture
Architect Cert is a free, open-source MCP server that turns Claude into your personal certification tutor for the Claude Certified Architect — Foundations exam. No courses, no slides, no video lectures — just ask Claude and study.
It ships with:
Everything runs locally. No cloud, no accounts, no telemetry.
npm install -g connectry-architect-mcp
claude mcp add connectry-architect -- connectry-architect-mcp
That's it. Restart Claude Code and the server starts automatically.
Add to .mcp.json in your project or ~/.claude.json globally:
{
"mcpServers": {
"connectry-architect": {
"command": "connectry-architect-mcp"
}
}
}
Restart Claude Code. The server starts automatically when Claude loads.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"connectry-architect": {
"command": "connectry-architect-mcp"
}
}
}
Tip: If you use
nvm, you may need to specify the full path to the binary:"command": "/Users/yourname/.nvm/versions/node/v22.20.0/bin/connectry-architect-mcp"
Restart Claude Desktop. You'll see the MCP tools icon appear in the chat input.
Add to %APPDATA%\Claude\claude_desktop_config.json:
{
"mcpServers": {
"connectry-architect": {
"command": "connectry-architect-mcp"
}
}
}
Restart Claude Desktop. You'll see the MCP tools icon appear in the chat input.
Architect Cert works with any client that supports the Model Context Protocol. Configure it as a stdio server:
connectry-architect-mcpThe server exposes 18 tools, 8 prompts, and 3 resource types.
Restart your MCP client and start chatting:
| What you want | What to ask Claude |
|---|---|
| Start from scratch | "Start an assessment to figure out where I stand" |
| Practice questions | "Give me a practice question" |
| Focus on a domain | "Give me a question about agentic architecture" |
| Learn a concept first | "Teach me about task 2.3 — tool provisioning" |
| Build your own capstone | "I want to start a guided capstone build" |
| Take a practice exam | "I want to take a practice exam" |
| Check your progress | "Show my study progress" |
| Show the dashboard | "Show my dashboard" |
| Get a study plan | "What should I study next?" |
| Explore a reference project | "Show me a reference project for domain 1" |
| Generate PDF handouts | Run npm run generate:pdfs in the project directory |
| Reset and start over | "Reset my progress" |
Architect Cert is designed to follow a natural progression. Here's the recommended order:
1. Assessment → Baseline your knowledge across all 5 domains
↓
2. Learn concepts → Read handouts for weak domains before practicing
↓
3. Adaptive practice → Questions prioritized by weakness, reviews, new material
↓
4. Follow-ups → Dive into code examples, concept lessons, reference projects
↓
5. Capstone build → Build your own project covering all 30 task statements
↓
6. Practice exams → Simulate the real exam (60 questions, scored out of 1000)
↓
7. Review & repeat → Dashboard tracks mastery, spaced repetition handles scheduling
You can jump to any stage at any time — the system adapts. But the path above gives you the most structured experience.
Architect Cert uses Claude's built-in interactive UI to make studying feel natural. No typing answer letters — just click.
Every question presents clickable A/B/C/D buttons directly in Claude. You tap your answer instead of typing it. If the question includes code in the scenario, a code preview appears alongside each option so you can reference it while deciding.
After every answer, clickable follow-up buttons appear:
After a wrong answer:
After a correct answer:
When requesting a study plan, you can select multiple domains to focus on using checkboxes — no need to list them out by name.
Long flows like the assessment (15 questions), practice exams (60 questions), and capstone build (18 steps) create a visual todo checklist that updates in real time as you progress. You always know where you are and what's left.
Every question selection includes a Skip button to move on and an Other option to ask a free-form question. If you use "Other" to ask something, Claude answers your question and then re-presents the same quiz question — you never lose your place. "Skip" moves to the next question; skipped questions remain unanswered and will reappear later.
Start with a 15-question diagnostic (3 per domain) that determines your learning path. The assessment works differently from raw practice:
When the assessment reaches a new domain for the first time, it pauses to show you the concept handout before asking questions. This means you learn the key ideas, see code examples, and understand common mistakes before being tested — no guessing blindly.
The flow for each domain:
Based on your overall accuracy:
| Score | Path | Description |
|---|---|---|
| < 60% | Beginner-Friendly | Starts with fundamentals, builds up gradually. Focuses on easy and medium questions first. |
| >= 60% | Exam-Weighted | Focuses on high-weight domains first (D1 at 27%, D3 & D4 at 20% each). Targets weak areas aggressively. |
The assessment creates a 15-item visual checklist (Q1 through Q15, grouped by domain) that updates after each answer. You always see exactly how far you've progressed.
Every task statement has a concept handout — a structured study document (~500-800 words) that covers:
You: "Show me the handout for task 2.3"
Claude: [loads the full handout with concept, code, mistakes, references]
Generate branded PDFs for all 30 handouts for offline study:
cd connectrylab-architect-cert-mcp
npm run generate:pdfs
This creates 30 PDFs in generated/handouts/ with:
Every practice question is selected by a three-priority algorithm:
You can filter practice questions by domain and/or difficulty:
You: "Give me a hard question about prompt engineering"
Claude: [presents a hard Domain 4 question with clickable A/B/C/D buttons]
After every answer, you get clickable follow-up options. Each option dives deeper into the concept — then brings you right back to your quiz. You never leave your study flow to look something up.
Each of the 30 task statements has an independent mastery level:
| Level | Criteria | What it means |
|---|---|---|
| Unassessed | No attempts yet | You haven't seen questions on this topic |
| Weak | < 50% accuracy | Needs significant study — questions resurface frequently |
| Developing | 50-69% accuracy | Making progress — keep practicing |
| Strong | 70-89% accuracy | Good understanding — review intervals are longer |
| Mastered | >= 90% accuracy, 5+ attempts, 3+ consecutive correct | Exam-ready — rare reviews |
The SM-2 algorithm schedules review intervals:
Difficult questions come back often. Easy ones space out to weeks or months.
The most hands-on way to learn — build your own project from scratch while covering all 30 task statements. Instead of just answering questions, you architect a real system themed to your own idea.
The capstone build has three phases:
Phase 1 — Project Shaping
You describe a project idea (e.g., "a multi-agent code review system"). Claude analyzes your idea against all 30 architectural criteria and identifies gaps. You refine together until every task statement is covered.
You: "I want to start a guided capstone build"
Claude: [presents the 30 criteria across all 5 domains]
Describe your project idea and I'll analyze coverage.
You: "A multi-agent code review system that analyzes PRs"
Claude: Your idea naturally covers 24/30 criteria. To cover the
remaining 6, I'd suggest adding: [specific suggestions
mapped to task statements]
Phase 2 — Interleaved Build (18 steps)
Each step follows the same pattern:
A visual 18-step checklist tracks your progress in real time.
The 18 steps build incrementally:
| Steps | What you build | Task Statements |
|---|---|---|
| 1-2 | Project config (CLAUDE.md, package.json) | 3.1-3.4 |
| 3-5 | MCP server, tools, error handling | 2.1-2.5 |
| 6-10 | Agentic loop, subagents, hooks, workflows, sessions | 1.1-1.7 |
| 11-13 | Prompts: system, extraction, batch processing | 4.1-4.6 |
| 14-18 | Context: preservation, triggers, propagation, scratchpad, confidence | 5.1-5.6 |
Every quiz answer feeds into the same spaced repetition and mastery tracking as regular practice.
Phase 3 — Final Review
After step 18, you get a complete coverage map: all 30 task statements, where each is demonstrated in your project, and your quiz performance per domain. Weak areas are flagged for further study.
| Tool | What it does |
|---|---|
start_capstone_build |
See the 30 criteria, describe your theme, refine until coverage is complete |
capstone_build_step |
Drive the build: confirm, quiz, build, next, status, or abandon |
capstone_build_status |
Check your progress — current step, criteria coverage, quiz performance |
submit_answer grading and SM-2 schedulingFull 60-question exams that simulate the real certification:
| Detail | Value |
|---|---|
| Total questions | 60 |
| D1: Agentic Architecture | 16 questions (27%) |
| D2: Tool Design & MCP | 11 questions (18%) |
| D3: Claude Code Config | 12 questions (20%) |
| D4: Prompt Engineering | 12 questions (20%) |
| D5: Context & Reliability | 9 questions (15%) |
| Scoring | 0-1000, passing at 720 |
| Question selection | Fresh set each time — avoids repeating your most recent attempt |
| UI | Clickable A/B/C/D buttons with code previews |
| Progress | Visual 60-item checklist updated after each answer |
All attempts are saved with per-domain score breakdowns and improvement trends.
Architect Cert includes a glassmorphism visual dashboard that renders directly inside Claude via Claude Preview.
You: "Show my dashboard"
Claude: [opens the branded dashboard in Claude Preview]
The dashboard can be reopened at any time by asking Claude again. It always reflects your latest data.
For MCP clients that don't support Claude Preview, the dashboard tool also returns a text summary with mastery percentages and exam stats.
Architect Cert includes 6 complete reference projects — runnable TypeScript codebases that demonstrate certification concepts in real code. Every file has a header comment mapping it to specific task statements.
| Project | Focus | Files | What You'll See |
|---|---|---|---|
| Capstone | All 5 domains | 24 | Full multi-agent support system with MCP server, coordinator, subagents, prompt engineering, context management, and hooks |
| D1 — Agentic Loop | Domain 1 | 10 | Multi-agent research coordinator with agentic loops, subagent spawning, hooks, session management, and task decomposition |
| D2 — Tool Design | Domain 2 | 12 | MCP server with split tools, structured errors, agent-scoped tool distribution, resources, and built-in tool patterns |
| D3 — Claude Code Config | Domain 3 | 14 | Complete config reference: CLAUDE.md hierarchy, slash commands, path rules, CI/CD workflows — not runnable code, but a real config layout |
| D4 — Prompt Engineering | Domain 4 | 11 | Data extraction pipeline with explicit criteria, few-shot, structured output, validation-retry, batch processing, and multi-pass review |
| D5 — Context Manager | Domain 5 | 14 | Long-session patterns: context preservation, scratchpad, subagent delegation, escalation, error propagation, confidence calibration, provenance |
You: "Show me a reference project for domain 1"
Claude: [returns the project README, file listing, and architecture walkthrough]
When you get a question wrong, one of the follow-up options is "Show me in the reference project" — this takes you straight to the relevant domain project so you can see the concept implemented in real code. Then you jump back to your quiz.
Get personalized study recommendations based on your performance, exam weights, and spaced repetition schedule.
When requesting a study plan, you can pick specific domains to focus on using checkboxes:
You: "What should I study next?"
Claude: [shows domain checkboxes — select the ones you want to focus on]
[generates a personalized study plan with a visual checklist]
The study plan creates a visual checklist so you can track your progress through each recommendation.
The Claude Certified Architect — Foundations exam covers 5 domains:
| # | Domain | Weight | Tasks | Questions |
|---|---|---|---|---|
| 1 | Agentic Architecture & Orchestration | 27% | 7 | 91 |
| 2 | Tool Design & MCP Integration | 18% | 5 | 65 |
| 3 | Claude Code Configuration & Workflows | 20% | 6 | 78 |
| 4 | Prompt Engineering & Structured Output | 20% | 6 | 78 |
| 5 | Context Management & Reliability | 15% | 6 | 78 |
| Total | 100% | 30 | 390 |
| Task | Description |
|---|---|
| 1.1 | Design and implement agentic loops for autonomous task execution |
| 1.2 | Orchestrate multi-agent systems with coordinator-subagent patterns |
| 1.3 | Configure subagent invocation, context passing, and spawning |
| 1.4 | Implement multi-step workflows with enforcement and handoff patterns |
| 1.5 | Apply Agent SDK hooks for tool call interception and data normalization |
| 1.6 | Design task decomposition strategies for complex workflows |
| 1.7 | Manage session state, resumption, and forking |
| Task | Description |
|---|---|
| 2.1 | Design effective tool interfaces with clear descriptions and boundaries |
| 2.2 | Implement structured error responses for MCP tools |
| 2.3 | Distribute tools appropriately across agents and configure tool choice |
| 2.4 | Integrate MCP servers into Claude Code and agent workflows |
| 2.5 | Select and apply built-in tools effectively |
| Task | Description |
|---|---|
| 3.1 | Configure CLAUDE.md files with appropriate hierarchy and scoping |
| 3.2 | Create and configure custom slash commands and skills |
| 3.3 | Apply path-specific rules for conditional convention loading |
| 3.4 | Determine when to use plan mode vs direct execution |
| 3.5 | Apply iterative refinement techniques for progressive improvement |
| 3.6 | Integrate Claude Code into CI/CD pipelines |
| Task | Description |
|---|---|
| 4.1 | Design prompts with explicit criteria to improve precision |
| 4.2 | Apply few-shot prompting to improve output consistency |
| 4.3 | Enforce structured output using tool use and JSON schemas |
| 4.4 | Implement validation, retry, and feedback loops |
| 4.5 | Design efficient batch processing strategies |
| 4.6 | Design multi-instance and multi-pass review architectures |
| Task | Description |
|---|---|
| 5.1 | Manage conversation context to preserve critical information |
| 5.2 | Design effective escalation and ambiguity resolution patterns |
| 5.3 | Implement error propagation strategies across multi-agent systems |
| 5.4 | Manage context effectively in large codebase exploration |
| 5.5 | Design human review workflows and confidence calibration |
| 5.6 | Preserve information provenance and handle uncertainty in synthesis |
Architect Cert provides 18 MCP tools that Claude uses to deliver the study experience:
| Tool | Description |
|---|---|
start_assessment |
Begin with 15 diagnostic questions (lessons-first, one at a time) to determine your learning path |
get_practice_question |
Get the next adaptive question with clickable A/B/C/D buttons (reviews > weak areas > new material) |
submit_answer |
Grade your answer deterministically — presents interactive follow-up options |
follow_up |
Handle post-answer actions: code examples, concept lessons, handouts, reference projects |
get_section_details |
Deep dive into a specific task statement with full concept handout |
| Tool | Description |
|---|---|
get_progress |
View overall study progress with mastery percentages per domain |
get_curriculum |
Browse all 5 domains and 30 task statements with current mastery levels |
get_weak_areas |
Identify topics that need the most work, ranked by weakness |
get_study_plan |
Get personalized recommendations with multi-select domain focus |
get_dashboard |
Open the visual progress dashboard in Claude Preview |
| Tool | Description |
|---|---|
start_practice_exam |
Take a full 60-question practice exam simulating the real certification |
submit_exam_answer |
Submit and grade answers during a practice exam |
get_exam_history |
View all past exam attempts with scores, trends, and per-domain comparison |
| Tool | Description |
|---|---|
start_capstone_build |
Start a guided capstone build — shape your project and validate criteria coverage |
capstone_build_step |
Drive the capstone build: confirm, quiz, build, next, status, or abandon |
capstone_build_status |
Check capstone build progress — current step, coverage, quiz performance |
| Tool | Description |
|---|---|
scaffold_project |
Access reference projects for hands-on practice with real code |
reset_progress |
Start over — requires explicit confirmation to prevent accidents |
The server also registers 8 interactive prompts and 3 resource types (concept handouts, reference projects, exam overview).
┌──────────────────────────────────────────────────────────────────────┐
│ YOUR MACHINE │
│ │
│ ┌──────────────┐ ┌────────────────────────────────┐ │
│ │ Claude Desktop│ │ Architect Cert MCP │ │
│ │ Claude Code │◄─────►│ │ │
│ │ Any MCP client│ stdio │ 18 tools │ │
│ └──────┬───────┘ │ 8 prompts │ │
│ │ │ 3 resource types │ │
│ │ └──────────┬─────────────────────┘ │
│ │ │ │
│ │ ┌────────────────┼────────────────────┐ │
│ │ │ │ │ │
│ │ ~/.connectry- 390 questions 6 reference │
│ │ architect/ 30 handouts projects │
│ │ progress.db (bundled JSON/MD) (bundled TS) │
│ │ │
│ │ ┌──────────────────────────┐ │
│ └──► Claude Preview (Dashboard) │ │
│ │ localhost HTTP server │ │
│ └──────────────────────────┘ │
│ │
└──────────────────────────────────────────────────────────────────────┘
| Component | Technology | Purpose |
|---|---|---|
| MCP Server | @modelcontextprotocol/sdk v1 |
Registers tools, prompts, resources over stdio |
| Grading Engine | Pure TypeScript functions | Deterministic answer verification |
| Spaced Repetition | SM-2 algorithm | Optimal review scheduling |
| Question Selector | Three-priority algorithm | Overdue reviews > weak areas > new material |
| Follow-Up System | State-driven tool chain | Interactive post-answer detours |
| Capstone Build Engine | 18-step interleaved builder | Guided learn-build-explain flow with LLM validation |
| Dashboard Server | Node.js HTTP + HTML | Glassmorphism visual dashboard via Claude Preview |
| Question Bank | 390 bundled JSON questions | Scenario-based, verified against docs |
| Concept Handouts | 30 bundled markdown files | Structured study materials per task statement |
| Reference Projects | 6 bundled TypeScript projects | Runnable code demonstrating each domain |
| PDF Generator | Puppeteer + Marked | Branded handout PDFs for offline study |
| Progress Store | better-sqlite3 (WAL mode) |
Persistent mastery, answers, schedules |
Architect Cert doesn't build its own chat UI. Instead, it instructs Claude to use built-in interactive tools:
This approach works across Claude Code and Claude Desktop without requiring any custom UI code on the client side.
This server enforces honest grading at the protocol level — not just in prompts:
gradeAnswer() is a pure function. No LLM is involved in judging correctness.submit_answer tool description instructs Claude to relay results verbatim.whyWrongMap entry explaining the misconception.| Metric | Value |
|---|---|
| Total questions | 390 |
| Domains covered | 5 |
| Task statements covered | 30 |
| Questions per task statement | 13 |
| Difficulty distribution | ~4 easy, 5 medium, ~4 hard per task |
| Answer key balance | Distributed across A/B/C/D |
| Question format | Scenario-based multiple choice |
| Each question includes | Scenario, question, 4 options, explanation, why-wrong-map, references |
| Source material | Anthropic official documentation |
~/.connectry-architect/progress.db (SQLite, WAL mode)~/.connectry-architect/config.json (auto-created on first run)We welcome contributions! Here's how to get started:
# Clone the repo
git clone https://github.com/Connectry-io/connectrylab-architect-cert-mcp.git
cd connectrylab-architect-cert-mcp
# Install dependencies
npm install
# Build
npm run build
# Run tests
npm test
# Generate PDF handouts
npm run generate:pdfs
# Run locally
node dist/index.js
src/
├── index.ts # MCP server entry point
├── config.ts # User config management
├── types.ts # All TypeScript interfaces
├── data/
│ ├── loader.ts # Lazy-cached data loading
│ ├── curriculum.json # 30 task statements
│ ├── questions/ # 390 questions (5 domain files)
│ ├── handouts/ # 30 concept handouts (markdown)
│ ├── criteria.ts # 30 task statement criteria for capstone validation
│ ├── build-steps.ts # 18 capstone build step definitions
│ └── system-prompt.ts # Anti-sycophancy rules
├── db/
│ ├── schema.ts # SQLite schema (9 tables)
│ ├── store.ts # Database initialization
│ ├── mastery.ts # Mastery level calculations
│ ├── answers.ts # Answer recording
│ ├── review-schedule.ts # SM-2 review scheduling
│ ├── capstone.ts # Capstone build CRUD operations
│ ├── users.ts # User management
│ └── exam-attempts.ts # Practice exam tracking
├── engine/
│ ├── grading.ts # Deterministic grading
│ ├── spaced-repetition.ts # SM-2 algorithm
│ ├── question-selector.ts # Priority-based selection
│ ├── exam-builder.ts # Practice exam generation
│ └── adaptive-path.ts # Learning path recommendations
├── tools/ # 18 MCP tool handlers
│ ├── index.ts # Tool registration
│ ├── elicit.ts # MCP elicitation helper (graceful fallback)
│ ├── start-assessment.ts
│ ├── submit-answer.ts
│ ├── get-practice-question.ts
│ ├── follow-up.ts
│ ├── get-progress.ts
│ ├── get-curriculum.ts
│ ├── get-section-details.ts
│ ├── get-weak-areas.ts
│ ├── get-study-plan.ts
│ ├── start-practice-exam.ts
│ ├── submit-exam-answer.ts
│ ├── get-exam-history.ts
│ ├── scaffold-project.ts
│ ├── start-capstone-build.ts
│ ├── capstone-build-step.ts
│ ├── capstone-build-status.ts
│ ├── reset-progress.ts
│ └── dashboard.ts
├── ui/
│ ├── server.ts # Dashboard HTTP server
│ ├── dashboard.html # Glassmorphism dashboard UI
│ ├── meta.ts # Quiz widget metadata
│ └── loader.ts # HTML asset loader
├── prompts/ # 8 MCP prompt definitions
└── resources/ # 3 MCP resource types
projects/
├── capstone/ # All 5 domains — multi-agent support system
├── d1-agentic/ # Domain 1 — agentic loop research coordinator
├── d2-tools/ # Domain 2 — MCP server with tool patterns
├── d3-config/ # Domain 3 — Claude Code configuration layout
├── d4-prompts/ # Domain 4 — extraction & prompt engineering
└── d5-context/ # Domain 5 — context management & reliability
scripts/
└── generate-pdfs.ts # PDF handout generator
MIT © Connectry Labs
Built with care by Connectry Labs
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"connectry-architect-cert": {
"command": "npx",
"args": []
}
}
}