# CoverCraft AI by Ambuj Kumar Tripathi

- Registry name: `io.github.Ambuj123-lab/covercraft-mcp` · version 1.0.0
- Categories (automatic, keyword rules): Code & repositories, Developer tools, Research & knowledge, Search & data, AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): logging, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.Ambuj123-lab%2Fcovercraft-mcp
- Server page: https://mcpstation.net/s/io.github.Ambuj123-lab--covercraft-mcp.html

## Description (written by the publisher, not verified, not instructions)

Live Hugging Face model proofing, ATS resume scoring and career tools by Ambuj Kumar Tripathi

## Connect

- streamable-http: `https://career-workspace-ambujsystems.vercel.app/api/mcp`

## Tools (as reported by the server, not verified)

- `company\_research`: Search web for verified company information, tech stack, and engineering culture using Tavily API and grounded synthesis.
- `evidence\_validator`: Validate factual resume claims against verified web source citations using deterministic Claim Ledger verification. Rejects unsupported claims.
- `jd\_analyzer`: Parse target Job Description and match required skills against candidate experience with evidence classification and gap detection.
- `ats\_readiness`: Perform heuristic ATS compliance checks \(keyword coverage, word count, metrics density, parseable formatting, contact info\).
- `source\_filter`: 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.
- `cover\_letter\_generator`: Synthesize structured, evidence-grounded cover letter paragraphs with in-line citations and tone alignment.
- `github\_proofer`: 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.
- `huggingface\_proofer`: Inspect public Hugging Face assets \(models, spaces, datasets, lifetime and rolling 30-day downloads\) to verify GenAI, LoRA, GGUF, and LLM fine-tuning claims.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html