Schema | mcp-server-cv-modify

mcp-server-cv-modify

Describes the environment variables required to run the server.

Name	Required	Description	Default
`NODE_ENV`	No	Node environment (e.g., production, development).	production
`LOG_LEVEL`	No	Logging level (e.g., debug, info, error).	info
`CACHE_ENABLED`	No	Enable caching of scraping results (true/false).	true
`CACHE_TTL_HOURS`	No	Time-to-live for cache entries in hours.	24
`DETECT_LANGUAGE`	No	Enable automatic language detection (true/false).	true
`NLP_MAX_KEYWORDS`	No	Maximum number of keywords to extract.	50
`EMBED_RTL_MARKERS`	No	Embed Unicode RTL markers in output (true/false).	true
`BROWSER_TIMEOUT_MS`	No	Timeout in milliseconds for browser operations.	30000
`PLAYWRIGHT_HEADLESS`	No	Run Playwright browser in headless mode (true/false).	true
`SCRAPER_MIN_DELAY_MS`	No	Minimum delay in milliseconds between scraping requests (to avoid detection).	5000
`NLP_MIN_KEYWORD_SCORE`	No	Minimum score threshold for keyword extraction (0-1).	0.3
`SCRAPER_MAX_CONCURRENT`	No	Maximum number of concurrent scraping operations.	1
`NORMALIZE_HEBREW_SPACING`	No	Normalize spacing for Hebrew text (true/false).	true
`CV_MAX_KEYWORDS_PER_BULLET`	No	Maximum number of keywords to add per bullet point.	2
`USE_HEBREW_CHARACTER_WIDTHS`	No	Use Hebrew character widths for formatting (true/false).	true
`CV_MODIFICATION_CONFIDENCE_THRESHOLD`	No	Confidence threshold for CV modifications (0-1).	0.6

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
extract_job_descriptionA	Extracts job description and keywords from a LinkedIn or job posting URL. Scrapes the job posting, extracts key information, and identifies important keywords and skills.
modify_cvA	Modifies a CV to better match a job description by strategically emphasizing relevant keywords. Parses the CV, extracts keywords from the job posting, and enhances the CV with relevant keywords while maintaining naturalness.
analyze_cv_job_matchA	Analyzes how well a CV matches a job description without modifying it. Scores the CV against job requirements and provides specific improvement suggestions.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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