# io.github.aaryagodbole/dsa-coach-mcp (pypi · dsa-coach-mcp)

DSA coach for LeetCode, Codeforces and more: spaced-repetition revision and a mistake journal.

- Trust score: 79/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-04

## Components

- pypi · `dsa-coach-mcp`: 79/100 (this document), [markdown](https://verifymcp.io/servers/aaryagodbole-dsa-coach-mcp/dsa-coach-mcp.md), [page](https://verifymcp.io/servers/aaryagodbole-dsa-coach-mcp/dsa-coach-mcp)

## Channel facts

- Registry: `pypi`
- Package: `dsa-coach-mcp`
- Version: `0.2.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-04.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs uv_build at install time, a recognised build step with no custom scripting around it.
  - 1 of 32 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 97/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to aaryagodbole/dsa-coach-mcp).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 1 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 75/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (fair).
  - Tool/resource definitions use about 959 tokens (~68/item across 14 items; 13 tools + 1 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 15 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).
  - Supports UI / widget rendering.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### How do I install the io.github.aaryagodbole/dsa-coach-mcp server?

io.github.aaryagodbole/dsa-coach-mcp runs locally as a PyPI package, launched with uvx dsa-coach-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add aaryagodbole-dsa-coach-mcp -- uvx dsa-coach-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "aaryagodbole-dsa-coach-mcp": {
      "command": "uvx",
      "args": [
        "dsa-coach-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "aaryagodbole-dsa-coach-mcp": {
      "command": "uvx",
      "args": [
        "dsa-coach-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add aaryagodbole-dsa-coach-mcp -- uvx dsa-coach-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "aaryagodbole-dsa-coach-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "dsa-coach-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add aaryagodbole-dsa-coach-mcp --command uvx --arg dsa-coach-mcp
```

### Hermes

```yaml
mcp_servers:
  aaryagodbole-dsa-coach-mcp:
    command: "uvx"
    args: ["dsa-coach-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "aaryagodbole-dsa-coach-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "dsa-coach-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add aaryagodbole-dsa-coach-mcp -t stdio -c uvx -a dsa-coach-mcp
```

### Other

```json
{
  "mcpServers": {
    "aaryagodbole-dsa-coach-mcp": {
      "command": "uvx",
      "args": [
        "dsa-coach-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-04 (score 79, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-11-03 (score 64)

First indexed and scored.

## MCP tools (13)

### `list_platforms` (~23 tokens)

Connected platforms, with the tags and levels each one accepts as filters.

Output parameters:

- `result` (array)

### `get_profile` (~54 tokens)

The user's standing on one platform: level, solved and unsolved counts per tag,
and their most recent submissions.

Input parameters:

- `handle` (string, required)
- `platform` (string, required)
- `recent_submissions` (integer)

Output parameters:

- `handle` (string)
- `level_summary` (object)
- `limitations` (array)
- `platform` (string)
- `solved_by_tag` (object)
- `solved_ids` (array)
- `submissions` (array)
- `unsolved_attempts_by_tag` (object)

### `search_problems` (~82 tokens)

Problems having every tag given, at the level given. Take tags and levels from
list_platforms or from problems the platform returned. With exclude_solved_by,
skips that handle's solved problems.

Input parameters:

- `exclude_solved_by`
- `level`
- `limit` (integer)
- `platform` (string, required)
- `tags`

Output parameters:

- `result` (array)

### `log_review` (~144 tokens)

Record how well the user recalled a problem, schedule the next revision with
FSRS, and journal any mistakes made on the way.

rating: again (could not solve it), hard (solved with real difficulty), good
(solved after some thought) or easy (solved at once).

The problem's title, link and tags are read from the platform itself. Give each
mistake a short kind, reusing an existing one from mistake_kinds when it fits, and
a note on what went wrong in the user's own words.

Input parameters:

- `mistakes`
- `platform` (string, required)
- `problem_id` (string, required)
- `rating` (required)

Output parameters:

- `difficulty`
- `due` (string)
- `platform` (string)
- `problem_id` (string)
- `retrievability`
- `reviews` (integer)
- `stability`
- `title` (string)
- `url` (string)

### `revisions_due` (~33 tokens)

Problems due for revision now, the one the user is least likely to recall
first.

Input parameters:

- `limit` (integer)

Output parameters:

- `result` (array)

### `record_problem` (~100 tokens)

Record a problem from a platform this server has no adapter for, as read from
its page: its URL, title, the tags the page shows and its difficulty as the page
states it. The platform is the URL's host, and the problem id its path. Returns
the platform and problem_id to pass to log_review.

Input parameters:

- `level`
- `tags`
- `title` (string, required)
- `url` (string, required)

Output parameters:

- `level`
- `platform` (string)
- `problem_id` (string)
- `source` (string)
- `tags` (array)
- `title` (string)
- `url` (string)

### `progress` (~30 tokens)

Per platform the user has reviewed on: problems reviewed, reviews logged, and
problems due for revision now.

Output parameters:

- `result` (array)

### `schedule_info` (~33 tokens)

The FSRS parameters in use, whether they were fitted to this user's own
reviews, and how many reviews are logged.

Output parameters:

- `parameters` (array)
- `personalised` (boolean)
- `reviews` (integer)

### `personalize_schedule` (~38 tokens)

Fit the FSRS parameters to this user's own review history, so revisions are
timed to how fast they personally forget. Needs the optimizer extra.

Output parameters:

- `parameters` (array)
- `personalised` (boolean)
- `reviews` (integer)

### `mistake_kinds` (~39 tokens)

Every mistake label used so far, most frequent first. Reuse these labels when
logging new mistakes so the same kind of mistake is counted together.

Output parameters:

- `result` (array)

### `list_mistakes` (~85 tokens)

Journaled mistakes, newest first, with the problem each was made on. Filter by
label, problem tag, platform, one problem (platform and problem_id), or the last
\``days`` days.

Input parameters:

- `days`
- `kind`
- `limit` (integer)
- `platform`
- `problem_id`
- `tag`

Output parameters:

- `result` (array)

### `mistake_patterns` (~44 tokens)

Mistake counts per label, broken down by problem tag, platform and month.
Counts only; reading what they say about the user is up to you.

Input parameters:

- `days`

Output parameters:

- `by_month` (array)
- `by_platform` (array)
- `by_tag` (array)
- `kinds` (array)

### `show_dashboard` (~65 tokens)

Show the user's progress per platform, the revisions due now ordered by how
likely they are to be forgotten, and a heatmap of mistakes by label and tag.
Hosts that support MCP Apps render it as an interactive dashboard.

Input parameters:

- `days`
- `limit` (integer)

Output parameters:

- `due` (array)
- `patterns`
- `progress` (array)

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/aaryagodbole-dsa-coach-mcp/dsa-coach-mcp#diagnostics

## Score history

- 2026-11-04: 79
- 2026-11-03: 64

## Common questions

### What is the io.github.aaryagodbole/dsa-coach-mcp server?

io.github.aaryagodbole/dsa-coach-mcp is listed in the public MCP registry as io.github.aaryagodbole/dsa-coach-mcp. DSA coach for LeetCode, Codeforces and more: spaced-repetition revision and a mistake journal. This page covers its PyPI package (dsa-coach-mcp).

### Is the io.github.aaryagodbole/dsa-coach-mcp server safe to use?

io.github.aaryagodbole/dsa-coach-mcp scores 79 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the io.github.aaryagodbole/dsa-coach-mcp server expose?

io.github.aaryagodbole/dsa-coach-mcp exposes 13 tools: list_platforms, get_profile, search_problems, log_review, revisions_due, and 8 more. Their descriptions and schemas cost roughly 770 tokens of context every time the server is loaded.

### Is the io.github.aaryagodbole/dsa-coach-mcp server still maintained?

io.github.aaryagodbole/dsa-coach-mcp is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the io.github.aaryagodbole/dsa-coach-mcp server under?

io.github.aaryagodbole/dsa-coach-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/dsa-coach-mcp/
- Socket report: https://socket.dev/pypi/package/dsa-coach-mcp
- Repository: https://github.com/aaryagodbole/dsa-coach-mcp
- Changelog RSS feed: https://verifymcp.io/servers/aaryagodbole-dsa-coach-mcp/dsa-coach-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/aaryagodbole-dsa-coach-mcp/dsa-coach-mcp.json
- HTML version of this page: https://verifymcp.io/servers/aaryagodbole-dsa-coach-mcp/dsa-coach-mcp