Dsa Tracker MCP Server

Name: Dsa Tracker MCP Server
Author: ashmitrrr

by ashmitrrrversion 1.0.1i★ –iRuns on your computer

Registry nameio.github.ashmitrrr/dsa-tracker-mcp-server

Install

Overview

Description from the maker (original English)

Track DSA/LeetCode practice with spaced repetition, ships with NeetCode 150.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: DSA_TRACKER_DB, DSA_TRACKER_PROBLEMS_FILE

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "dsa-tracker": {
      "command": "uvx",
      "args": [
        "dsa-tracker-mcp"
      ],
      "env": {
        "DSA_TRACKER_DB": "your-value",
        "DSA_TRACKER_PROBLEMS_FILE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add dsa-tracker --env DSA_TRACKER_DB=your-value --env DSA_TRACKER_PROBLEMS_FILE=your-value -- uvx dsa-tracker-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "dsa-tracker": {
      "command": "uvx",
      "args": [
        "dsa-tracker-mcp"
      ],
      "env": {
        "DSA_TRACKER_DB": "your-value",
        "DSA_TRACKER_PROBLEMS_FILE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "dsa-tracker": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "dsa-tracker-mcp"
      ],
      "env": {
        "DSA_TRACKER_DB": "your-value",
        "DSA_TRACKER_PROBLEMS_FILE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

DSA_TRACKER_DB env
Path to the SQLite database file (default: ~/.dsa_tracker_mcp/progress.db)
DSA_TRACKER_PROBLEMS_FILE env
Path to a JSON file with a custom problem list (default: uses built-in NeetCode 150)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account ashmitrrr, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32684 servers in this category
Published to the registry more recently than 13% of the other 32684 servers in this category
Basic checks equal to or better than 100% of the other 32684 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Dsa Tracker MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Master CSS

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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 snapshot
dsa://problem-list — full list of tracked problems

Prompts

daily_review — generates a daily review session based on what's due
explain_pattern(category) — explains the core pattern/approach for a given category

Installation

dsa-tracker-mcp is published on PyPI, no manual cloning or virtual environments needed. The recommended way to run it is with uv, which downloads and runs the package on demand.

Claude Desktop

Add to your claude_desktop_config.json (Settings → Developer → Edit Config):

"mcpServers": { "dsa-tracker": { "command": "uvx", "args": ["dsa-tracker-mcp"] } } }

Restart Claude Desktop completely after saving.

Alternative: pip install

If you'd rather install it directly:

pip install dsa-tracker-mcp

Then point your config at the installed console script:

"mcpServers": { "dsa-tracker": { "command": "dsa-tracker-mcp" } } }

From source

git clone https://github.com/ashmitrrr/dsa-tracker-mcp-server.git

cd dsa-tracker-mcp-server python3 -m venv .venv source .venv/bin/activate # on Windows: .venv\Scripts\activate pip install -e .

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

To set these with uvx, add an env block to your config:

"mcpServers": { "dsa-tracker": { "command": "uvx", "args": ["dsa-tracker-mcp"], "env": { "DSA_TRACKER_PROBLEMS_FILE": "/absolute/path/to/my-problems.json" } } } }

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.

Dsa Tracker MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Master CSS

README from the maker

dsa-tracker-mcp

Features

Tools

Resources

Prompts

Installation

Claude Desktop

Alternative: pip install

From source

Environment variables (optional)

Custom problem list format

Spaced repetition logic

Example prompts

License