io.github.aaryagodbole/dsa-coach-mcp
PYPI · DSA-COACH-MCP
DSA coach for LeetCode, Codeforces and more: spaced-repetition revision and a mistake journal.
Available components
Last scanned (17 hours ago)
Scores higher than 78% of PyPI servers
Category Education and Research
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. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs uv_build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 32 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to aaryagodbole/dsa-coach-mcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 1 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability75
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (fair).Partial
- Tool/resource definitions use about 959 tokens (~68/item across 14 items; 13 tools + 1 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 15 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
- Supports UI / widget rendering.Pass
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.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 3 Nov 26 64
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Analysed pypi/dsa-coach-mcp@0.2.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | aaryagodbole/dsa-coach-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/aaryagodbole/dsa-coach-mcp/.github/workflows/release.yml@refs/tags/v0.2.0 |
| Rekor log index | 3664227485 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:464ba0470a21cd151c2592a53ddacb71a72f5a653a064dbc0c43196fc8349b4e |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | uv_build |
Background: Why install scripts are a supply-chain risk →
Dependencies 32 packages
| Packages resolved | 32 |
|---|---|
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_profile ~54
The user's standing on one platform: level, solved and unsolved counts per tag, and their most recent submissions.
| Name | Type | Req | Description |
|---|---|---|---|
| handle | string | yes | – |
| platform | string | yes | – |
| recent_submissions | integer | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| handle | string | yes | – |
| level_summary | object | – | – |
| limitations | array | – | – |
| platform | string | yes | – |
| solved_by_tag | object | – | – |
| solved_ids | array | – | – |
| submissions | array | – | – |
| unsolved_attempts_by_tag | object | – | – |
No examples provided.
list_mistakes ~85
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.
| Name | Type | Req | Description |
|---|---|---|---|
| days | – | – | – |
| kind | – | – | – |
| limit | integer | – | – |
| platform | – | – | – |
| problem_id | – | – | – |
| tag | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
list_platforms ~23
Connected platforms, with the tags and levels each one accepts as filters.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
log_review ~144
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.
| Name | Type | Req | Description |
|---|---|---|---|
| mistakes | – | – | – |
| platform | string | yes | – |
| problem_id | string | yes | – |
| rating | – | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| difficulty | – | – | – |
| due | string | yes | – |
| platform | string | yes | – |
| problem_id | string | yes | – |
| retrievability | – | – | – |
| reviews | integer | – | – |
| stability | – | – | – |
| title | string | yes | – |
| url | string | yes | – |
No examples provided.
mistake_kinds ~39
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.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
mistake_patterns ~44
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.
| Name | Type | Req | Description |
|---|---|---|---|
| days | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| by_month | array | yes | – |
| by_platform | array | yes | – |
| by_tag | array | yes | – |
| kinds | array | yes | – |
No examples provided.
personalize_schedule ~38
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.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| parameters | array | yes | – |
| personalised | boolean | yes | – |
| reviews | integer | yes | – |
No examples provided.
progress ~30
Per platform the user has reviewed on: problems reviewed, reviews logged, and problems due for revision now.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
record_problem ~100
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.
| Name | Type | Req | Description |
|---|---|---|---|
| level | – | – | – |
| tags | – | – | – |
| title | string | yes | – |
| url | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| level | – | – | – |
| platform | string | yes | – |
| problem_id | string | yes | – |
| source | string | – | – |
| tags | array | – | – |
| title | string | yes | – |
| url | string | yes | – |
No examples provided.
revisions_due ~33
Problems due for revision now, the one the user is least likely to recall first.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
schedule_info ~33
The FSRS parameters in use, whether they were fitted to this user's own reviews, and how many reviews are logged.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| parameters | array | yes | – |
| personalised | boolean | yes | – |
| reviews | integer | yes | – |
No examples provided.
search_problems ~82
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.
| Name | Type | Req | Description |
|---|---|---|---|
| exclude_solved_by | – | – | – |
| level | – | – | – |
| limit | integer | – | – |
| platform | string | yes | – |
| tags | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
show_dashboard ~65
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.
| Name | Type | Req | Description |
|---|---|---|---|
| days | – | – | – |
| limit | integer | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| due | array | yes | – |
| patterns | – | yes | – |
| progress | array | yes | – |
No examples provided.
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.
pypi · dsa-coach-mcp
claude mcp add aaryagodbole-dsa-coach-mcp -- uvx dsa-coach-mcp
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.