dsa-tracker-mcp
mcp-name: io.github.ashmitrrr/dsa-tracker-mcp-server
This is an MCP server for tracking your progress through your DSA questions and comes loaded with a default list of Neetcode 150 (any custom DSA problem list can be switched per user) with built-in spaced repetition. Built with FastMCP and SQLite.
Talk to it naturally from Claude: "what should I work on next", "log that I solved Two Sum, confidence 4, took 12 minutes", "how's my progress", "show me my history on Contains Duplicate".
Features
- Spaced repetition — problems you struggle with come back sooner, problems you nail come back later. Schedule is based on how you rated each attempt (gave up / struggled / solved) and your confidence (1-5).
- List-agnostic — ships with the full NeetCode 150 (150 problems, 18 categories) but can load any custom problem list via a JSON file.
- Fuzzy matching — log an attempt with a loosely-typed problem name ("two sum", "contains dupe") and it'll match the right problem.
- Stats & streaks — solved counts, per-category breakdown, daily streak, total time spent.
Tools
| Tool | Description |
|---|---|
log_attempt |
Log an attempt at a problem (status, confidence 1-5, time spent). Schedules the next review. |
get_next_problem |
Get what to work on next: an overdue review, or the next new problem in order. Optional category filter. |
get_stats |
Overall progress summary — solved counts, per-category breakdown, streak, total time. |
search_problems |
Search/filter problems by name, category, difficulty, or status. |
get_problem_history |
All logged attempts for a given problem, chronological. |
Resources
dsa://progress— current progress snapshotdsa://problem-list— full list of tracked problems
Prompts
daily_review— generates a daily review session based on what's dueexplain_pattern(category)— explains the core pattern/approach for a given category
Installation
git clone https://github.com/ashmitrrr/dsa-tracker-mcp.git
cd dsa-tracker-mcp
python3 -m venv .venv
source .venv/bin/activate # on Windows: .venv\Scripts\activate
pip install -r requirements.txt
Configuration
Claude Desktop
Add to your claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"dsa-tracker": {
"command": "/absolute/path/to/dsa-tracker-mcp/.venv/bin/python",
"args": ["/absolute/path/to/dsa-tracker-mcp/server.py"]
}
}
}
Restart Claude Desktop completely after saving.
Environment variables (optional)
| Variable | Default | Description |
|---|---|---|
DSA_TRACKER_DB |
~/.dsa_tracker_mcp/progress.db |
Path to the SQLite database |
DSA_TRACKER_PROBLEMS_FILE |
(none, uses built-in NeetCode 150) | Path to a JSON file with a custom problem list |
Custom problem list format
[
{
"name": "Two Sum",
"category": "Arrays & Hashing",
"difficulty": "Easy",
"url": "https://leetcode.com/problems/two-sum/"
}
]
url and difficulty are optional and will be auto-filled where possible. order_index is assigned automatically based on list order.
Spaced repetition logic
| Outcome | Next review |
|---|---|
| Gave up | 1 day |
| Struggled, confidence ≤ 2 | 2 days |
| Struggled, confidence ≥ 3 | 4 days |
| Solved, confidence ≤ 3 | 7 days |
| Solved, confidence ≥ 4 | 21 days |
get_next_problem prioritizes overdue reviews before suggesting new problems.
Example prompts
- "What should I work on next?"
- "I just solved Valid Anagram, confidence 5, took 6 minutes, log it"
- "How's my progress on Trees?"
- "Show me my history on Two Sum"
- "Give me a daily review"
License
MIT — see LICENSE.
Metadata
Release files for dsa-tracker-mcp 1.0.1
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|---|---|---|---|---|
| dsa_tracker_mcp-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.1 kB
Release files / dsa_tracker_mcp-1.0.1.tar.gz
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