analyze_resume_text
Analyses résumé text and returns an assessment of its completeness, keyword use and skills match, with improvement suggestions.
LABSCO SUMMARY
The first tool's whole point is that there is no JSON step: text goes in, a PDF comes out.
generate_resume_from_text handles the structuring internally, which is what separates it from a renderer that expects a schema; convert_resume_text exposes that same structuring as its own output when the JSON Resume document is the thing you want to keep and edit. Picking a template is a lookup rather than a guess, because get_templates returns the ids the generator accepts. analyze_resume_text is the only tool here that produces no file — it reports on completeness, keywords and skills match instead.
What it is
A NovaCV client with 4 tools that convert résumé text into a formatted PDF from a chosen template, restructure it as JSON Resume, list the available templates, or analyse the text and return improvement suggestions.
What you get
- generate_resume_from_text converts résumé text straight into a PDF in a chosen template, doing the structuring itself.
- get_templates lists the available templates with their ids, names and thumbnails.
- convert_resume_text restructures plain résumé text into the standard JSON Resume format, identifying sections such as personal details, work history and education.
- analyze_resume_text returns an assessment of the résumé's completeness, keyword use and skills match, with targeted suggestions.
Requirements
A NovaCV API key, supplied as NOVACV_API_KEY.
Setup effort
One command plus a key — npx mcp-server-novacv --api_key=<YOUR_API_KEY>, then supply credentials
USE CASES
01
Getting a designed PDF out of a résumé someone sent as plain text
The template list supplies the id the generator expects, and the generator handles the structuring itself.
02
Keeping a résumé as structured data you can edit later
The JSON Resume output is the version that survives a rewrite, because sections are identified rather than left as prose.
03
Finding out what is weak in a résumé before sending it
The analysis covers completeness, keyword use and skills match, which is the part a template cannot fix.
4 tools
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
convert_resume_text
Converts plain résumé text into the standard JSON Resume format, identifying sections such as personal details, work history and education.
generate_resume_from_text
Converts résumé text into a formatted PDF in a chosen template, structuring the content itself rather than requiring JSON.
get_templates
Returns the available résumé templates with their ids, names and thumbnails.
BEFORE YOU INSTALL
What to know first
Tools you get
4 tools when we connected. The mcp_novacv_ prefixed names in the documentation are how one client displays these tools, not separate tools. generate_resume_from_text produces a finished PDF; convert_resume_text stops at editable JSON Resume data.
Requires
- npx on PATH
- NOVACV_API_KEY in your environment
Where it runs
Both documented clients run the server on your machine.
CONTEXT COST
Light Standing cost
Rated by the size of the 4 tool definitions that ride along on every turn, not by how many there are
INSTALLATION
Connect your client
Server setup
TERMINAL
npx mcp-server-novacv --api_key=<YOUR_API_KEY>MCP Clients
Cursor, Cherry Studio
JSON
{
"mcpServers": {
"novacv": {
"command": "npx",
"args": [
"mcp-server-novacv"
],
"env": {
"NOVACV_API_KEY": "<YOUR_NOVACV_API_KEY>"
}
}
}
}
