matchcv-mcp
# MatchCV MCP Server
[](https://www.npmjs.com/package/matchcv-mcp)
[](./LICENSE)
Resume tools for MCP clients. Check a resume against ATS rules, parse a job description into structured
requirements, get rewrite-level suggestions, and generate a fully tailored resume with a shareable preview
link — all from inside Claude, Cursor, Codex, or any other MCP-compatible client.
Powered by [MatchCV](https://matchcv.co) · [MCP docs](https://matchcv.co/docs/mcp) · [Get started free](https://matchcv.co/login)
---
## Tools
| Tool | What it does |
|---|---|
| `ats_check` | Scores resume text 0–100 for ATS compatibility, with a recruiter take, prioritized issues and fixes, and detected strengths |
| `analyze_job_description` | Turns a job posting into structured JSON: title, company, seniority, industry, must-have / nice-to-have keywords, responsibilities |
| `optimize_resume` | Prioritized improvement suggestions with example rewrites, optionally targeted at a role, a JD, and specific missing keywords |
| `roast_resume` | Blunt recruiter-style critique plus an ATS score, returned as a public shareable report link |
| `extract_resume_text` | Reads a local PDF/DOC/DOCX/TXT resume and returns plain text, optionally AI-parsed into structured JSON |
| `tailor_resume` | Full pipeline — analyze the JD, rewrite the resume for that role, return the tailored JSON plus a preview page you can open and download as PDF |
## Install
Requires Node.js 20+. No API key and no account are needed to start.
### Claude Desktop / Claude Code
Add to your MCP config (`claude_desktop_config.json`, or run `claude mcp add`):
```json
{
"mcpServers": {
"matchcv": {
"command": "npx",
"args": ["-y", "matchcv-mcp"]
}
}
}
```
### Cursor
`~/.cursor/mcp.json` (or `.cursor/mcp.json` in a project):
```json
{
"mcpServers": {
"matchcv": {
"command": "npx",
"args": ["-y", "matchcv-mcp"]
}
}
}
```
### Codex CLI
`~/.codex/config.toml`:
```toml
[mcp_servers.matchcv]
command = "npx"
args = ["-y", "matchcv-mcp"]
```
### Any other MCP client
The server speaks MCP over stdio. Run it directly with:
```bash
npx -y matchcv-mcp
```
## Example prompts
- *"Read `~/Documents/resume.pdf` and tell me how it scores against ATS."*
- *"Here's a job posting — what keywords is my resume missing?"*
- *"Roast my resume, I want the honest version."*
- *"Tailor my resume to this job description and give me the preview link."*
## Usage limits
The tools call MatchCV's public endpoints, so free usage is capped per day, per IP address:
| | Free (no account) | Signed in | Pro |
|---|---:|---:|---:|
| `ats_check`, `analyze_job_description`, `optimize_resume`, `roast_resume`, structured parsing | 3/day | 10/day | Unlimited |
| `tailor_resume` | 1/day | 3/day | Unlimited |
Plain text extraction (`extract_resume_text` without `structured: true`) is unlimited — it runs no AI.
Quota errors come back as a readable message telling you how to raise the limit. See
[matchcv.co/pricing](https://matchcv.co/pricing).
## Configuration
| Environment variable | Default | Purpose |
|---|---|---|
| `MATCHCV_BASE_URL` | `https://matchcv.co` | API origin. Only needed to point at a development deployment. |
## Privacy
This server holds no credentials and stores nothing locally. Resume and job description text is sent to the
MatchCV API over HTTPS for processing. `roast_resume` and `tailor_resume` create a page at an unguessable
public URL so you can open and share the result; the other tools store nothing. See the
[privacy policy](https://matchcv.co/privacy).
## Development
```bash
npm install
npm run build
node dist/index.js
```
Point it at a local MatchCV instance with `MATCHCV_BASE_URL=http://localhost:3000`.
## License
MIT — see [LICENSE](./LICENSE).
TDQS
Scored across 6 tools
Most tools map to a distinct pipeline stage: extract, analyze, optimize, tailor. ats_check and roast_resume overlap somewhat since both return ATS scores and recruiter feedback, but their descriptions clearly separate polite actionable feedback from a candid shareable roast, and optimize_resume vs tailor_resume are differentiated by suggestion-level vs full rewrite.
All tool names use lowercase snake_case and mostly follow an imperative verb_noun pattern: analyze_job_description, optimize_resume, extract_resume_text, tailor_resume. ats_check is the only deviation, reading more like a noun phrase than check_ats, but the overall naming remains predictable and readable.
Six tools is a well-scoped size for a resume/CV assistant, covering input extraction, job description parsing, ATS feedback, optimization, roasting, and full tailoring. Each tool has a clear role in the workflow, and there is no sense of bloat or excessive granularity.
The tool surface covers the core resume workflow end to end: extract text, parse job descriptions, diagnose ATS issues, suggest improvements, and generate a fully tailored resume with a preview link. There are no obvious dead ends, and the descriptions include appropriate guidance for handling limitations such as scanned PDFs or AI credit usage.