# 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

- Trust score: 74/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-22

## Components

- remote · `career-workspace-ambujsystems.vercel.app`: 74/100 (this document), [markdown](https://verifymcp.io/servers/ambuj123-lab-covercraft-mcp/api-mcp.md), [page](https://verifymcp.io/servers/ambuj123-lab-covercraft-mcp/api-mcp)

## Channel facts

- Endpoint: `https://career-workspace-ambujsystems.vercel.app/api/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-22.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 591 tokens (~73/item across 8 items; 8 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 30/100
  - Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% 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 8 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 20/100
  - Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28.

## Install

### 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.

### Claude

```bash
claude mcp add --transport http ambuj123-lab-covercraft-mcp 'https://career-workspace-ambujsystems.vercel.app/api/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "ambuj123-lab-covercraft-mcp": {
      "url": "https://career-workspace-ambujsystems.vercel.app/api/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "ambuj123-lab-covercraft-mcp": {
      "type": "http",
      "url": "https://career-workspace-ambujsystems.vercel.app/api/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.ambuj123-lab-covercraft-mcp]
url = "https://career-workspace-ambujsystems.vercel.app/api/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ambuj123-lab-covercraft-mcp": {
      "type": "remote",
      "url": "https://career-workspace-ambujsystems.vercel.app/api/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ambuj123-lab-covercraft-mcp --url 'https://career-workspace-ambujsystems.vercel.app/api/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ambuj123-lab-covercraft-mcp:
    url: "https://career-workspace-ambujsystems.vercel.app/api/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "ambuj123-lab-covercraft-mcp": {
      "Transport": "http",
      "Url": "https://career-workspace-ambujsystems.vercel.app/api/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add ambuj123-lab-covercraft-mcp -t streamable-http -u 'https://career-workspace-ambujsystems.vercel.app/api/mcp'
```

### Other

```json
{
  "mcpServers": {
    "ambuj123-lab-covercraft-mcp": {
      "type": "http",
      "url": "https://career-workspace-ambujsystems.vercel.app/api/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## 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.

### 2026-10-22 (score 74, +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.

### 2026-10-20 (score 73, +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.

### 2026-10-18 (score 72, +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.

### 2026-10-15 (score 71, +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.

### 2026-10-14 (score 70, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-13 (score 70)

First indexed and scored.

## MCP tools (8)

### `company_research` (~69 tokens)

Search web for verified company information, tech stack, and engineering culture using Tavily API and grounded synthesis.

Input parameters:

- `company_name` (string, required): Target company name (e.g. Stripe, Razorpay)
- `focus_areas` (array): Optional focus areas like tech_stack, culture, recent_news

Output parameters:

- `company` (string): Target company name
- `confidence` (string): Confidence level: HIGH, MEDIUM, LOW
- `recent_news` (array): Recent developments
- `sources` (array): Verified source citations with URLs and titles
- `sources_count` (number): Count of verified sources evaluated
- `summary` (string): Grounded company summary with source citations
- `tech_stack` (array): Verified tech stack

### `evidence_validator` (~54 tokens)

Validate factual resume claims against verified web source citations using deterministic Claim Ledger verification. Rejects unsupported claims.

Input parameters:

- `claims` (array, required): List of candidate claims
- `sources` (array, required): List of source citations with url and content

Output parameters:

- `audit_verdict` (string): Audit conclusion: ALL_CLAIMS_VERIFIED, PARTIAL_EVIDENCE_GAPS, or UNSUPPORTED_CLAIMS_DETECTED
- `claim_ledger` (array): Detailed ledger of verified, partial, and unsupported claims
- `confidence` (number): Mathematical confidence score between 0.0 and 1.0
- `summary` (object): Summary counts of verified, partial, and unsupported claims

### `jd_analyzer` (~49 tokens)

Parse target Job Description and match required skills against candidate experience with evidence classification and gap detection.

Input parameters:

- `jd_text` (string, required): Job description text
- `resume_text` (string, required): Candidate resume text

Output parameters:

- `chart_data` (object): Categorical breakdown of strong, partial, transferable, and missing skills
- `overall_match` (number): Deterministic overall match percentage (0-100)
- `required_skills` (array): Extracted required skills with evidence match
- `role_title` (string): Identified target job title

### `ats_readiness` (~60 tokens)

Perform heuristic ATS compliance checks (keyword coverage, word count, metrics density, parseable formatting, contact info).

Input parameters:

- `jd_text` (string): Target job description text (optional for keyword matching)
- `letter_text` (string, required): Generated cover letter text

Output parameters:

- `checks` (object): Individual heuristic evaluation criteria
- `readiness_level` (string): ATS Readiness Tier: HIGH, MEDIUM, LOW
- `readiness_score` (number): Calculated readiness percentage (0-100)
- `suggestions` (array): Specific formatting recommendations

### `source_filter` (~80 tokens)

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.

Input parameters:

- `company_domain` (string): Target company primary domain (e.g. stripe.com)
- `sources` (array, required): List of research sources with url and content

Output parameters:

- `audit_verdict` (string): Source quality verdict
- `filtered_sources` (array): Categorized source citations
- `tier_1_authoritative_count` (number): Count of official primary sources
- `tier_2_reputable_count` (number): Count of reputable secondary sources

### `cover_letter_generator` (~102 tokens)

Synthesize structured, evidence-grounded cover letter paragraphs with in-line citations and tone alignment.

Input parameters:

- `approved_company_facts` (array): Verified company research facts
- `candidate_name` (string, required): Candidate name
- `company` (string, required): Target company name
- `matched_skills` (array, required): Verified matched skills with evidence
- `role` (string, required): Target role title
- `tone` (string): Tone style: professional, confident, technical, humble

Output parameters:

- `greeting` (string): Salutation
- `paragraphs` (array): Structured body paragraphs
- `subject_line` (string): Recommended email subject line

### `github_proofer` (~91 tokens)

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.

Input parameters:

- `candidate_github_or_resume` (string, required): GitHub username, URL, or resume text containing GitHub link
- `technical_claims` (array): List of technical claims to cross-reference against code repositories

Output parameters:

- `audit_verdict` (string): EVIDENCE_SUPPORTED, PARTIALLY_SUPPORTED, or UNSUPPORTED_CLAIMS_DETECTED
- `claim_verifications` (array): Per-claim verification breakdown
- `profile_url` (string): Public GitHub profile URL
- `username` (string): Inspected GitHub handle
- `verified_repositories` (array): Verified repositories matching skills

### `huggingface_proofer` (~86 tokens)

Inspect public Hugging Face assets (models, spaces, datasets, lifetime and rolling 30-day downloads) to verify GenAI, LoRA, GGUF, and LLM fine-tuning claims.

Input parameters:

- `ai_technical_claims` (array): AI/ML claims to verify
- `candidate_hf_or_resume` (string, required): Hugging Face username or resume text

Output parameters:

- `aggregate_downloads_all_time` (number): Lifetime downloads across all models
- `aggregate_downloads_last_30_days` (number): Rolling 30-day downloads
- `audit_verdict` (string): GenAI competency audit verdict
- `claim_verifications` (array): Per-claim verification breakdown
- `profile_url` (string): Public Hugging Face profile URL
- `total_models_published` (number): Number of public models published
- `username` (string): Inspected Hugging Face handle
- `verified_models` (array): Published models with weights and metrics

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ambuj123-lab-covercraft-mcp/api-mcp#diagnostics

## Score history

- 2026-10-22: 74
- 2026-10-21: 73
- 2026-10-20: 73
- 2026-10-19: 72
- 2026-10-18: 72
- 2026-10-17: 71
- 2026-10-16: 71
- 2026-10-15: 71
- 2026-10-14: 70
- 2026-10-13: 70

## Common questions

### 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.

## Links

- Remote endpoint: https://career-workspace-ambujsystems.vercel.app/api/mcp
- Repository: https://github.com/Ambuj123-lab/career-workspace-ambujsystems
- Website: https://career-workspace-ambujsystems.vercel.app/
- Changelog RSS feed: https://verifymcp.io/servers/ambuj123-lab-covercraft-mcp/api-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/ambuj123-lab-covercraft-mcp/api-mcp.json
- HTML version of this page: https://verifymcp.io/servers/ambuj123-lab-covercraft-mcp/api-mcp