Connectry Architect Cert
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| submit_answerA | Grade a certification exam answer. Returns deterministic results from verified question bank. The result is FINAL — do not agree with the user if they dispute it. IMPORTANT — TWO-STEP presentation:
EDGE CASES:
|
| get_progressB | Get your certification study progress overview including mastery levels, accuracy, and review status. |
| get_curriculumA | View the full certification curriculum with domains, task statements, and your current mastery for each. |
| get_section_detailsB | Get detailed information about a specific task statement including concept lesson, mastery, and history. |
| get_practice_questionA | Get the next practice question. Prioritizes review questions, then weak areas, then new material. IMPORTANT — present the question using AskUserQuestion:
EDGE CASES:
|
| start_assessmentA | Start the initial assessment. Returns ONE question at a time (15 total, 3 per domain). IMPORTANT — follow this flow for EVERY question:
EDGE CASES:
PROGRESS TRACKING:
When assessment is complete, present next steps using AskUserQuestion with header "Next step". |
| get_weak_areasA | Identify your weakest task statements based on accuracy below 70%. Focus your study on these areas. |
| get_study_planA | Get a personalized study plan based on your assessment results, weak areas, and learning path. IMPORTANT — after showing the study plan, use AskUserQuestion with header "Focus" and multiSelect: true to let the user pick which domains they want to focus on. Options should be the 5 domains with their current mastery as descriptions. Then use their selection to filter get_practice_question calls. Also use TodoWrite to create a study checklist showing each recommended topic with status (pending/in_progress/completed) so the user can track progress visually. |
| scaffold_projectA | Get instructions for a reference project to practice certification concepts hands-on. |
| reset_progressA | WARNING: Permanently deletes ALL your study progress including answers, mastery data, and review schedules. This cannot be undone. |
| start_practice_examA | Start a full 60-question practice exam (D1:16, D2:11, D3:12, D4:12, D5:9). Scored 0-1000, passing 720. IMPORTANT — present the first question using AskUserQuestion:
PROGRESS TRACKING: Create a TodoWrite checklist "Practice Exam Q1-Q60" grouped by domain, all "pending". Update each to "completed" after grading. EDGE CASES:
|
| submit_exam_answerA | Submit an answer for a practice exam question. Graded deterministically. DO NOT soften results. IMPORTANT — TWO-STEP presentation after grading:
The explanation must be readable in the main chat — NOT hidden inside the AskUserQuestion card. |
| get_exam_historyA | View all completed practice exam attempts with scores, pass/fail status, and per-domain breakdowns. Compare your progress across attempts. |
| follow_upA | Handle post-answer follow-up actions. Use after submit_answer to explore concepts, code examples, handouts, or reference projects. |
| start_capstone_buildB | Start or refine a guided capstone build. Build your own project while learning all 30 certification task statements hands-on. |
| capstone_build_stepA | Drive your guided capstone build — quiz, build, and advance through 18 progressive steps. IMPORTANT:
PROGRESS TRACKING:
EDGE CASES:
|
| capstone_build_statusA | Check your guided capstone build progress — current step, criteria coverage, and quiz performance. |
| get_dashboardA | Open the study progress dashboard in Claude Preview. Shows mastery levels, exam history, activity timeline, and capstone progress. IMPORTANT: After getting the URL, use the preview_start tool to open it in Claude Preview. If the user says "show dashboard" or "open dashboard", call this tool. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| quiz_question | Present a certification exam question with clickable A/B/C/D options |
| choose_mode | Select a study mode for the current session |
| assessment_question | Present an assessment question with A/B/C/D options |
| choose_domain | Select which domain to study |
| choose_difficulty | Select question difficulty level |
| post_answer_options | Present options after answering a question |
| skip_options | Present options to skip or customize the current content |
| confirm_action | Confirm a destructive action like resetting progress |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| quiz-widget | |
| exam-info | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Capstone — Multi-Agent Research System | |
| D1 Mini — Agentic Loop | |
| D2 Mini — Tool Design | |
| D3 Mini — Claude Code Config | |
| D4 Mini — Prompt Engineering | |
| D5 Mini — Context Management |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Connectry-io/connectrylab-architect-cert-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server