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Connectrylab Architect Cert Mcp

mcp-connectry-io-connectrylab-architect-cert-mcp · by Connectry-io

Free certification prep for the Claude Certified Architect exam. 390 questions. Spaced repetition. Zero sycophancy.

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Install

$ agentstack add mcp-connectry-io-connectrylab-architect-cert-mcp

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Ace the Claude Certified Architect exam

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


What is Architect Cert?

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:

  • 390 scenario-based questions across all 5 exam domains and 30 task statements
  • Interactive clickable UI — answer questions with A/B/C/D buttons, select follow-ups, pick domains with checkboxes — all inside Claude
  • Lessons-first assessment — learn each domain's concepts before being tested on them
  • Guided capstone build — shape your own project, then build it step-by-step while learning every task statement hands-on
  • 30 concept handouts — one per task statement, with code examples and common mistakes
  • 6 reference projects — runnable TypeScript codebases demonstrating each domain in practice
  • Practice exams — 60-question weighted exams with history tracking and improvement trends
  • Progress dashboard — glassmorphism visual dashboard with mastery levels, exam history chart, activity timeline
  • Visual progress tracking — todo checklists track your progress through assessments, exams, and capstone builds in real time
  • Interactive follow-ups — wrong answer? Click to see code examples, concept lessons, handouts, or reference projects
  • PDF generation — branded handout PDFs with the Architect Cert logo for offline study
  • Spaced repetition — SM-2 algorithm schedules reviews at optimal intervals
  • Deterministic grading — pure function grading, no LLM judgment, zero sycophancy

Everything runs locally. No cloud, no accounts, no telemetry.

Quick Start

1. Install

npm install -g connectry-architect-mcp

2. Configure Your MCP Client

Claude Code — One-liner

claude mcp add connectry-architect -- connectry-architect-mcp

That's it. Restart Claude Code and the server starts automatically.

Claude Code — Manual config

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.

Claude Desktop — macOS

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: > ``json > "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.

Claude Desktop — Windows

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.

Any MCP-compatible client

Architect Cert works with any client that supports the Model Context Protocol. Configure it as a stdio server:

  • Command: connectry-architect-mcp
  • Arguments: none
  • Transport: stdio

The server exposes 18 tools, 8 prompts, and 3 resource types.

3. Start Studying

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" |

Learning Path

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.

Interactive Experience

Architect Cert uses Claude's built-in interactive UI to make studying feel natural. No typing answer letters — just click.

Clickable Answer Selection

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.

Follow-Up Actions

After every answer, clickable follow-up buttons appear:

After a wrong answer:

  • Got it, next question
  • Explain with a code example
  • Show me the concept lesson
  • Show me the handout
  • Show me in the reference project

After a correct answer:

  • Next question
  • Explain why the others are wrong

Multi-Select Domain Picker

When requesting a study plan, you can select multiple domains to focus on using checkboxes — no need to list them out by name.

Visual Progress Checklists

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.

Skip & Other

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.

Initial Assessment

Start with a 15-question diagnostic (3 per domain) that determines your learning path. The assessment works differently from raw practice:

Lessons-First Flow

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:

  1. Concept handout is shown (one-time per domain)
  2. 3 questions presented one at a time (easy, medium, hard)
  3. Each answer graded immediately with explanation
  4. Move to the next domain

Path Assignment

Based on your overall accuracy:

| Score | Path | Description | |-------|------|-------------| | = 60% | Exam-Weighted | Focuses on high-weight domains first (D1 at 27%, D3 & D4 at 20% each). Targets weak areas aggressively. |

Progress Tracking

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.

Concept Handouts

Every task statement has a concept handout — a structured study document (~500-800 words) that covers:

  • Concept — The core idea, mental model, and when/why to use it
  • Code Example — Realistic TypeScript demonstrating the pattern
  • Common Mistakes — The 3-5 most frequent errors (which map to exam wrong answers)
  • References — Links to Anthropic's official documentation

Reading Handouts in Claude

You: "Show me the handout for task 2.3"

Claude: [loads the full handout with concept, code, mistakes, references]

When Handouts Appear Automatically

  • During assessment — shown before the first question of each new domain
  • After a wrong answer — "Show me the handout" is one of the follow-up options
  • During capstone build — relevant handouts are available at each build step

Generating PDF Handouts

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:

  • Architect Cert logo and domain label in the header
  • Clean formatting with syntax-highlighted code blocks
  • "Connectry LABS — Claude Certified Architect Exam Prep — Free & Open Source" footer

Adaptive Practice

Every practice question is selected by a three-priority algorithm:

  1. Overdue reviews — Spaced repetition items due for review today
  2. Weak areas — Topics where your mastery is below 50%
  3. New material — Fresh questions from your recommended domain

Filtering

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]

Interactive Follow-Ups

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.

Mastery Levels

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 | = 90% accuracy, 5+ attempts, 3+ consecutive correct | Exam-ready — rare reviews |

Spaced Repetition (SM-2)

The SM-2 algorithm schedules review intervals:

  • First review: 1 day after answering
  • Second review: 3 days after first review
  • Subsequent reviews: Previous interval x ease factor (starts at 2.5)
  • Wrong answer: Interval resets, ease factor decreases by 0.2 (floor: 1.3)
  • Correct answer: Ease factor increases by 0.1

Difficult questions come back often. Easy ones space out to weeks or months.

Guided Capstone Build

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.

How It Works

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:

  1. Quiz — 2-3 questions on the task statements you're about to build (clickable A/B/C/D)
  2. Build — Claude generates the file's code, themed to your project
  3. Walkthrough — Line-by-line explanation mapping code to task statements

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.

Capstone Build Tools

| 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 |

How It Connects to Everything Else

  • Quiz answers during the build use the same submit_answer grading and SM-2 scheduling
  • After any quiz question, you can use the same follow-up options (code example, concept lesson, handout, reference project)
  • The reference projects show how the capstone structure looks when complete
  • Progress persists across sessions — pick up where you left off

Practice Exams

Full 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.

Progress Dashboard

Architect Cert includes a glassmorphism visual dashboard that renders directly inside Claude via Claude Preview.

What It Shows

  • Readiness Ring — Overall exam readiness percentage in a circular progress indicator
  • Domain Mastery Grid — 5 cards with progress bars for each exam domain
  • Exam History Chart — Line chart plotting your practice exam scores over time, with the 720 passing score marked
  • Recent Activity Timeline — Your last 10 answers with correct/incorrect indicators
  • Capstone Progress — Current build step and completion percentage
  • Quick Action Buttons — Jump to practice, exam, study plan, or capstone

How to Open

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.

Text Fallback

For MCP clients that don't support Claude Preview, the dashboard tool also returns a text summary with mastery percentages and exam stats.

Reference Projects

Architect Cert includes 6 complete reference projects — runnable TypeScript codebases that demonstrate certif

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.