CoverCraft AI by Ambuj Kumar Tripathi
REMOTE · CAREER-WORKSPACE-AMBUJSYSTEMS.VERCEL.APP
Live Hugging Face model proofing, ATS resume scoring and career tools by Ambuj Kumar Tripathi
Available components
Last scanned (15 hours ago)
Scores higher than 67% of remote servers
Reachable. Last reached 22 Oct 2026.
Category Education and Research
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 591 tokens (~73/item across 8 items; 8 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management30
- Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- 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 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
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.
- 22 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.
- 20 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Oct 26 0
- Stability: unverified → 0.03 ▲ functional
- 13 Oct 26 70
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 22 Oct 2026 · Probed https://career-workspace-ambujsystems.vercel.app/api/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=*.vercel.app | CN=WR1,O=Google Trust Services,C=US | 29 Aug 2026 | 27 Nov 2026 | RSA 2048 | SHA256-RSA | f7911168ffa7d0f4135e24792e7a52a8 |
| SANs: *.vercel.app | ||||||
| CN=WR1,O=Google Trust Services,C=US (CA) | CN=GTS Root R1,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | RSA 2048 | SHA256-RSA | 7fd9e2c2d2048a0474b627a26d0868a7 |
| CN=GTS Root R1,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 19 Jun 2020 | 28 Jan 2028 | RSA 4096 | SHA256-RSA | 77bd0d6cdb36f91aea210fc4f058d30d |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of career-workspace-ambujsystems.vercel.app. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| app. | present | 23684 | 8 | Verified |
| vercel.app. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=63072000; includeSubDomains; preload |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://career-workspace-ambujsystems.vercel.app/api/mcp | Verified | 200 | |
| http (plaintext) | http://career-workspace-ambujsystems.vercel.app/api/mcp | HTTPS enforced | 308 | https://career-workspace-ambujsystems.vercel.app/api/mcp |
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 →
ats_readiness ~60
Perform heuristic ATS compliance checks (keyword coverage, word count, metrics density, parseable formatting, contact info).
| Name | Type | Req | Description |
|---|---|---|---|
| jd_text | string | – | Target job description text (optional for keyword matching) |
| letter_text | string | yes | Generated cover letter text |
| Name | Type | Req | Description |
|---|---|---|---|
| checks | object | yes | Individual heuristic evaluation criteria |
| readiness_level | string | yes | ATS Readiness Tier: HIGH, MEDIUM, LOW |
| readiness_score | number | – | Calculated readiness percentage (0-100) |
| suggestions | array | yes | Specific formatting recommendations |
No examples provided.
company_research ~69
Search web for verified company information, tech stack, and engineering culture using Tavily API and grounded synthesis.
| Name | Type | Req | Description |
|---|---|---|---|
| company_name | string | yes | Target company name (e.g. Stripe, Razorpay) |
| focus_areas | array | – | Optional focus areas like tech_stack, culture, recent_news |
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | Target company name |
| confidence | string | yes | Confidence level: HIGH, MEDIUM, LOW |
| recent_news | array | – | Recent developments |
| sources | array | yes | Verified source citations with URLs and titles |
| sources_count | number | – | Count of verified sources evaluated |
| summary | string | yes | Grounded company summary with source citations |
| tech_stack | array | – | Verified tech stack |
No examples provided.
cover_letter_generator ~102
Synthesize structured, evidence-grounded cover letter paragraphs with in-line citations and tone alignment.
| Name | Type | Req | Description |
|---|---|---|---|
| approved_company_facts | array | – | Verified company research facts |
| candidate_name | string | yes | Candidate name |
| company | string | yes | Target company name |
| matched_skills | array | yes | Verified matched skills with evidence |
| role | string | yes | Target role title |
| tone | string | – | Tone style: professional, confident, technical, humble |
| Name | Type | Req | Description |
|---|---|---|---|
| greeting | string | yes | Salutation |
| paragraphs | array | yes | Structured body paragraphs |
| subject_line | string | yes | Recommended email subject line |
No examples provided.
evidence_validator ~54
Validate factual resume claims against verified web source citations using deterministic Claim Ledger verification. Rejects unsupported claims.
| Name | Type | Req | Description |
|---|---|---|---|
| claims | array | yes | List of candidate claims |
| sources | array | yes | List of source citations with url and content |
| Name | Type | Req | Description |
|---|---|---|---|
| audit_verdict | string | yes | Audit conclusion: ALL_CLAIMS_VERIFIED, PARTIAL_EVIDENCE_GAPS, or UNSUPPORTED_CLAIMS_DETECTED |
| claim_ledger | array | yes | Detailed ledger of verified, partial, and unsupported claims |
| confidence | number | yes | Mathematical confidence score between 0.0 and 1.0 |
| summary | object | yes | Summary counts of verified, partial, and unsupported claims |
No examples provided.
github_proofer ~91
Inspect public GitHub repositories, code languages, commit activity, stars, and forks to fact-check candidate technical claims. Validates evidence-backed claims and flags uncorroborated technical claims.
| Name | Type | Req | Description |
|---|---|---|---|
| candidate_github_or_resume | string | yes | GitHub username, URL, or resume text containing GitHub link |
| technical_claims | array | – | List of technical claims to cross-reference against code repositories |
| Name | Type | Req | Description |
|---|---|---|---|
| audit_verdict | string | yes | EVIDENCE_SUPPORTED, PARTIALLY_SUPPORTED, or UNSUPPORTED_CLAIMS_DETECTED |
| claim_verifications | array | yes | Per-claim verification breakdown |
| profile_url | string | yes | Public GitHub profile URL |
| username | string | yes | Inspected GitHub handle |
| verified_repositories | array | – | Verified repositories matching skills |
No examples provided.
huggingface_proofer ~86
Inspect public Hugging Face assets (models, spaces, datasets, lifetime and rolling 30-day downloads) to verify GenAI, LoRA, GGUF, and LLM fine-tuning claims.
| Name | Type | Req | Description |
|---|---|---|---|
| ai_technical_claims | array | – | AI/ML claims to verify |
| candidate_hf_or_resume | string | yes | Hugging Face username or resume text |
| Name | Type | Req | Description |
|---|---|---|---|
| aggregate_downloads_all_time | number | yes | Lifetime downloads across all models |
| aggregate_downloads_last_30_days | number | – | Rolling 30-day downloads |
| audit_verdict | string | yes | GenAI competency audit verdict |
| claim_verifications | array | – | Per-claim verification breakdown |
| profile_url | string | yes | Public Hugging Face profile URL |
| total_models_published | number | – | Number of public models published |
| username | string | yes | Inspected Hugging Face handle |
| verified_models | array | – | Published models with weights and metrics |
No examples provided.
jd_analyzer ~49
Parse target Job Description and match required skills against candidate experience with evidence classification and gap detection.
| Name | Type | Req | Description |
|---|---|---|---|
| jd_text | string | yes | Job description text |
| resume_text | string | yes | Candidate resume text |
| Name | Type | Req | Description |
|---|---|---|---|
| chart_data | object | yes | Categorical breakdown of strong, partial, transferable, and missing skills |
| overall_match | number | yes | Deterministic overall match percentage (0-100) |
| required_skills | array | yes | Extracted required skills with evidence match |
| role_title | string | yes | Identified target job title |
No examples provided.
source_filter ~80
Audit and categorize research source domains into authoritative tiers (Tier 1: Official/SEC, Tier 2: Reputable tech press, Tier 3: Aggregators) and discard promotional spam.
| Name | Type | Req | Description |
|---|---|---|---|
| company_domain | string | – | Target company primary domain (e.g. stripe.com) |
| sources | array | yes | List of research sources with url and content |
| Name | Type | Req | Description |
|---|---|---|---|
| audit_verdict | string | yes | Source quality verdict |
| filtered_sources | array | yes | Categorized source citations |
| tier_1_authoritative_count | number | yes | Count of official primary sources |
| tier_2_reputable_count | number | – | Count of reputable secondary sources |
No examples provided.
How do I install the CoverCraft AI by Ambuj Kumar Tripathi MCP server?
CoverCraft AI by Ambuj Kumar Tripathi is a hosted endpoint at https://career-workspace-ambujsystems.vercel.app/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · career-workspace-ambujsystems.vercel.app
claude mcp add --transport http ambuj123-lab-covercraft-mcp 'https://career-workspace-ambujsystems.vercel.app/api/mcp'
What is the CoverCraft AI by Ambuj Kumar Tripathi MCP server?
CoverCraft AI by Ambuj Kumar Tripathi is an MCP server listed in the public MCP registry as io.github.Ambuj123-lab/covercraft-mcp. Live Hugging Face model proofing, ATS resume scoring and career tools by Ambuj Kumar Tripathi. This page covers its hosted endpoint (https://career-workspace-ambujsystems.vercel.app/api/mcp).
Is the CoverCraft AI by Ambuj Kumar Tripathi MCP server safe to use?
CoverCraft AI by Ambuj Kumar Tripathi scores 74 out of 100 on VerifyMCP. 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 CoverCraft AI by Ambuj Kumar Tripathi MCP server expose?
CoverCraft AI by Ambuj Kumar Tripathi exposes 8 tools: company_research, evidence_validator, jd_analyzer, ats_readiness, source_filter, and 3 more. Their descriptions and schemas cost roughly 591 tokens of context every time the server is loaded.
Does the CoverCraft AI by Ambuj Kumar Tripathi MCP server require authentication?
No. We connected to CoverCraft AI by Ambuj Kumar Tripathi without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the CoverCraft AI by Ambuj Kumar Tripathi MCP server still maintained?
CoverCraft AI by Ambuj Kumar Tripathi is still listed as active in the MCP registry. We last reached this channel on 22 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.