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MCP server · Documentation

Cert Pepper

Adaptive CLI study tool for IT certification exams — FSRS spaced repetition meets AI explanations

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Scored 6 months ago · breakdown

About Cert Pepper

Cert Pepper is an MCP server in the Documentation category: adaptive CLI study tool for IT certification exams — FSRS spaced repetition meets AI explanations.

Install

From source
git clone https://github.com/cert-pepper/cert-pepper

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

CertPepper

Quick Start

# Clone and install
git clone https://github.com/cert-pepper/cert-pepper.git && cd cert-pepper
cp .env.example .env          # add ANTHROPIC_API_KEY for AI explanations
uv sync

# Set up a database and start studying
uv run cert-pepper db init
uv run cert-pepper ingest     # loads the bundled Security+ content
uv run cert-pepper study

Or open the repo in Claude Code and ask it to generate a question bank for any exam:

Set up a question bank for the CISSP exam

See MCP Integration to enable the servers.

Why CertPepper?

Most study tools — Anki, Quizlet, flashcard apps — treat every question the same. CertPepper adapts:

  • FSRS-4.5 spaced repetition schedules reviews at optimal intervals based on your recall history — the same core algorithm behind Anki, tuned for exam prep.
  • Bayesian Knowledge Tracing estimates mastery per domain and steers new questions toward your weakest areas, weighted by how much each domain counts on the real exam.
  • AI explanations break down wrong answers with domain-specific context via Claude (MCP sampling in Claude Code, or the Anthropic API in CLI mode).
  • Domain-weighted scoring predicts your exam score using actual exam weights, with a conservative prior for unseen material.
  • MCP integration — study inside Claude Code with three servers for content, study sessions, and analytics.

Features

Command What it does
cert-pepper study Adaptive study session — picks questions based on your weak spots
cert-pepper study --domain 4 --count 15 Target a specific domain
cert-pepper study --new-questions Focus on unseen material
cert-pepper exam 90-question timed mock exam with countdown
cert-pepper progress Dashboard: domain accuracy, predicted score, pass probability, study streak
cert-pepper goal set --exam-date 2026-03-09 Set exam date, get a paced study calendar
cert-pepper pregenerate Batch-generate AI explanations (requires API key)
cert-pepper db init Create/reset the SQLite database
cert-pepper ingest Parse markdown content into the DB
cert-pepper upgrade Apply schema migrations and refresh content

No guarantees. Predicted scores and pass probabilities are estimates based on practice performance — not predictions of real exam outcomes.

MCP Integration

Three STDIO MCP servers are registered in .mcp.json:

Server Purpose
cert-pepper-study Start sessions, submit answers, get due cards
cert-pepper-content Search questions, get explanations, look up acronyms
cert-pepper-analytics Predict score, find weak areas, study recommendations

Enable them in Claude Code by adding enableAllProjectMcpServers: true to .claude/settings.local.json.

In Claude Code, explanations use MCP sampling — no ANTHROPIC_API_KEY needed.

Adding Your Own Exam

  1. Create a content directory in CertPepper's markdown format.
  2. Set CONTENT_ROOT=/path/to/your/content in .env.
  3. Run cert-pepper db init and cert-pepper ingest.

The examples/security-plus/ directory is a complete reference implementation with 228 questions, 135 flashcards, and 262 acronyms.

Configuration

Variable Default Description
DB_PATH ./cert_pepper.db SQLite database path
CONTENT_ROOT ./examples/security-plus Root of your exam content
ANTHROPIC_API_KEY — Required for CLI AI explanations (study, pregenerate). Not needed in Claude Code.
HAIKU_MODEL claude-haiku-4-5-20251001 Model for AI explanations
SONNET_MODEL claude-sonnet-4-6 Model for MCP sampling
DEFAULT_SESSION_SIZE 10 Questions per study session
MASTERY_THRESHOLD 0.85 BKT mastery cutoff

Repository Layout

cert-pepper/
├── cert_pepper/          — Python source (CLI, MCP servers, algorithms)
│   ├── cli/              — Typer commands
│   ├── mcp/              — Three FastMCP STDIO servers
│   ├── engine/           — FSRS, BKT, selector, scorer (pure Python)
│   ├── ingestion/        — Markdown parsers
│   ├── ai/               — Anthropic client + explainer
│   └── db/               — SQLAlchemy async engine + schema
├── tests/                — pytest suite
├── examples/
│   └── security-plus/    — Security+ SY0-701 exam content
└── docs/
    ├── security-plus-in-10-days.md — 10-day Security+ study guide
    └── content-format.md — Format spec for your own exam content

Worked Example

The examples/security-plus/ directory contains a complete Security+ SY0-701 exam prep set:

  • 5 domains of notes
  • 135 flashcards
  • 228 practice questions across all 5 domains
  • 262 acronyms

See Security+ in 10 Days for a step-by-step guide.

Contributing

See CONTRIBUTING.md for setup instructions, workflow, and PR guidelines.

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Cert Pepper

How do I install Cert Pepper?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Cert Pepper safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Cert Pepper still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.