{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-jsonresumemcp","slug":"npm-jsonresumemcp","name":"@jsonresume/mcp","type":"mcp","url":"https://www.npmjs.com/package/@jsonresume/mcp","page_url":"https://unfragile.ai/npm-jsonresumemcp","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-jsonresumemcp__cap_0","uri":"capability://data.processing.analysis.json.resume.schema.validation.and.transformation","name":"json resume schema validation and transformation","description":"Validates incoming resume data against the JSON Resume schema specification and transforms unstructured or partially-structured resume input into compliant JSON Resume format. Implements schema-based validation using JSON Schema validators, enabling detection of missing required fields, type mismatches, and structural violations before downstream processing. Provides structured error reporting with field-level granularity to guide users toward schema compliance.","intents":["I need to validate that my resume data conforms to the JSON Resume standard before exporting","I want to convert my resume from another format into JSON Resume structure automatically","I need to identify which fields in my resume are missing or incorrectly formatted"],"best_for":["resume builders and career platforms standardizing on JSON Resume","developers integrating resume management into larger HR/recruitment systems","teams migrating legacy resume formats to JSON Resume"],"limitations":["Validation is schema-strict — custom extensions beyond JSON Resume spec may be rejected","Transformation from non-JSON formats (PDF, DOCX) requires external OCR/parsing; this MCP only handles structured input","No fuzzy matching for field names — typos in keys will fail validation"],"requires":["Node.js 16+","MCP client implementation (e.g., Claude Desktop, custom MCP host)","Resume data in JSON or structured format"],"input_types":["JSON object","structured data (YAML, TOML if pre-converted)"],"output_types":["validated JSON Resume object","validation error report with field paths"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-jsonresumemcp__cap_1","uri":"capability://data.processing.analysis.resume.field.extraction.and.normalization","name":"resume field extraction and normalization","description":"Extracts and normalizes individual resume fields (names, dates, locations, job titles, skills) from structured resume objects, applying consistent formatting rules and data type coercion. Uses field-level parsers for domain-specific normalization: date parsing (handles multiple formats), location standardization (city/country normalization), skill deduplication and categorization. Exposes extracted fields as structured outputs suitable for downstream processing, search indexing, or display.","intents":["I need to extract all skills from a resume and deduplicate them","I want to parse and normalize employment dates across multiple resume formats","I need to standardize location fields (e.g., 'SF' → 'San Francisco, CA')"],"best_for":["resume parsing pipelines feeding into job matching systems","talent acquisition platforms normalizing candidate data","developers building resume analytics or search features"],"limitations":["Normalization rules are opinionated — may not match all regional naming conventions","No ML-based entity recognition — relies on structured input with clear field boundaries","Skill categorization uses static taxonomy; no dynamic learning from new skill types"],"requires":["Node.js 16+","MCP client","Resume data already in JSON Resume format or pre-parsed JSON"],"input_types":["JSON Resume object","individual field strings"],"output_types":["normalized field values","structured skill arrays","parsed date objects"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-jsonresumemcp__cap_2","uri":"capability://text.generation.language.resume.content.generation.and.enhancement","name":"resume content generation and enhancement","description":"Generates or enhances resume content (job descriptions, skill summaries, professional statements) using Claude's language capabilities, exposed through MCP tools. Accepts partial or template resume sections and produces polished, ATS-friendly text that maintains consistency with JSON Resume formatting. Implements prompt templates for different resume sections (summary, experience, skills) and applies style guidelines (tone, length, keyword optimization) to generated content.","intents":["I want Claude to help me write a professional summary for my resume","I need to expand a job description with more impactful bullet points","I want to generate skill descriptions that match job postings I'm targeting"],"best_for":["job seekers using Claude to improve resume content","resume builders integrating AI-assisted content generation","career coaches using Claude to provide resume feedback at scale"],"limitations":["Generated content may require human review for accuracy and personalization","No built-in ATS optimization beyond keyword suggestions — relies on user validation","Content generation quality depends on input context; sparse input yields generic output"],"requires":["Node.js 16+","MCP client with Claude backend","Partial resume data or section templates as input"],"input_types":["resume section text (job descriptions, summaries)","context parameters (industry, role level, target keywords)"],"output_types":["enhanced resume text","alternative phrasings","keyword suggestions"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-jsonresumemcp__cap_3","uri":"capability://automation.workflow.resume.format.conversion.and.export","name":"resume format conversion and export","description":"Converts validated JSON Resume objects into multiple output formats (PDF, HTML, Markdown, DOCX) using template-based rendering. Implements format-specific exporters that apply styling, layout rules, and field mappings appropriate to each output type. Supports custom templates for branded resume designs and integrates with external rendering engines (e.g., Puppeteer for PDF generation) through abstracted interfaces.","intents":["I need to export my resume as a PDF with a specific design template","I want to generate an HTML version of my resume for my portfolio website","I need to create multiple resume versions (one-page, detailed) from a single JSON source"],"best_for":["resume builders offering multi-format export","career platforms generating candidate documents on-demand","developers building resume management systems with export capabilities"],"limitations":["PDF generation requires external rendering engine (Puppeteer, wkhtmltopdf); adds latency and system dependencies","Custom template support requires template language knowledge (Handlebars, EJS, etc.)","DOCX export may lose styling fidelity compared to PDF; no support for complex layouts"],"requires":["Node.js 16+","MCP client","Validated JSON Resume object","Optional: Puppeteer or similar for PDF rendering"],"input_types":["JSON Resume object","template identifier or custom template string","export format specifier (pdf, html, markdown, docx)"],"output_types":["PDF file","HTML string","Markdown string","DOCX file"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-jsonresumemcp__cap_4","uri":"capability://data.processing.analysis.resume.metadata.and.analytics.extraction","name":"resume metadata and analytics extraction","description":"Extracts and computes metadata from resume objects: experience duration, skill frequency, education timeline, employment gaps, and career progression metrics. Implements analytical functions that traverse resume structure to compute derived metrics (total years of experience, skill proficiency levels inferred from frequency, career trajectory analysis). Exposes these metrics as structured data for analytics dashboards, job matching algorithms, or resume quality scoring.","intents":["I want to calculate my total years of professional experience from my resume","I need to identify the most frequently mentioned skills in my resume","I want to analyze my career progression and identify gaps in my employment history"],"best_for":["resume analytics platforms scoring candidate profiles","job matching systems using resume metadata for ranking","career development tools providing resume insights"],"limitations":["Gap detection is date-based only; no contextual understanding of intentional breaks (education, sabbatical)","Skill frequency analysis is simple counting; no semantic understanding of skill relationships or hierarchies","Career progression metrics are heuristic-based; no ML-based trajectory prediction"],"requires":["Node.js 16+","MCP client","Validated JSON Resume object with complete date and employment history"],"input_types":["JSON Resume object"],"output_types":["analytics object with computed metrics","skill frequency map","employment timeline","gap analysis report"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-jsonresumemcp__cap_5","uri":"capability://data.processing.analysis.resume.comparison.and.gap.analysis","name":"resume comparison and gap analysis","description":"Compares two resume objects or a resume against a job description to identify skill gaps, experience mismatches, and improvement opportunities. Implements comparison algorithms that align resume sections with job requirements, compute similarity scores for skills and experience, and generate gap reports highlighting missing qualifications. Uses semantic matching (keyword-based or embedding-based if available) to identify related but differently-named skills.","intents":["I want to see how my resume matches a specific job posting","I need to identify which skills I'm missing compared to a target role","I want to compare my resume with a peer's to see where I'm ahead or behind"],"best_for":["job seekers optimizing resumes for specific roles","career coaching platforms providing targeted improvement recommendations","recruiting systems scoring candidate fit against job descriptions"],"limitations":["Keyword-based matching may miss semantic equivalents (e.g., 'REST API' vs. 'web services')","No contextual understanding of skill importance or role-specific weights","Comparison requires structured input (job description must be parsed into comparable format)"],"requires":["Node.js 16+","MCP client","Two resume objects or one resume + structured job description"],"input_types":["JSON Resume object","job description (text or structured format)"],"output_types":["gap analysis report","skill match scores","missing qualifications list","improvement recommendations"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-jsonresumemcp__cap_6","uri":"capability://automation.workflow.resume.versioning.and.variant.management","name":"resume versioning and variant management","description":"Manages multiple resume versions and variants (e.g., tailored for different industries, experience levels, or roles) within a single JSON Resume source. Implements version control logic that tracks changes, maintains variant metadata, and enables switching between versions. Supports conditional field inclusion based on variant parameters, allowing a single resume source to generate multiple tailored outputs without duplication.","intents":["I want to maintain multiple resume versions optimized for different job types","I need to track changes to my resume over time","I want to generate a junior-level and senior-level version from the same resume data"],"best_for":["job seekers managing multiple resume variants","resume builders offering variant management features","career platforms tracking resume evolution"],"limitations":["Variant management adds complexity to resume schema; requires clear metadata structure","No built-in conflict resolution for overlapping variants","Version history storage requires external persistence layer (not provided by MCP server)"],"requires":["Node.js 16+","MCP client","Extended JSON Resume schema with variant metadata"],"input_types":["JSON Resume object with variant metadata","variant selector parameters"],"output_types":["variant-specific resume object","version history metadata","variant comparison report"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-jsonresumemcp__cap_7","uri":"capability://safety.moderation.resume.accessibility.and.compliance.checking","name":"resume accessibility and compliance checking","description":"Validates resume content for accessibility standards (WCAG compliance for HTML exports, semantic structure for screen readers) and compliance requirements (GDPR data minimization, no discriminatory language). Implements checks for readability metrics, language clarity, and potential bias in phrasing. Provides actionable recommendations for improving accessibility and compliance without compromising resume quality.","intents":["I want to ensure my resume is accessible to screen reader users","I need to check if my resume complies with GDPR data minimization principles","I want to identify potentially biased language in my resume"],"best_for":["organizations ensuring inclusive hiring practices","resume builders with accessibility requirements","compliance-focused career platforms"],"limitations":["Bias detection is rule-based; may produce false positives or miss subtle biases","GDPR compliance checking is advisory only; legal review recommended","Accessibility validation is format-specific (HTML, PDF); limited for DOCX"],"requires":["Node.js 16+","MCP client","Resume object and/or exported resume file"],"input_types":["JSON Resume object","exported resume file (HTML, PDF, DOCX)"],"output_types":["accessibility report with violations","compliance checklist","bias detection results","remediation suggestions"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 16+","MCP client implementation (e.g., Claude Desktop, custom MCP host)","Resume data in JSON or structured format","MCP client","Resume data already in JSON Resume format or pre-parsed JSON","MCP client with Claude backend","Partial resume data or section templates as input","Validated JSON Resume object","Optional: Puppeteer or similar for PDF rendering","Validated JSON Resume object with complete date and employment history"],"failure_modes":["Validation is schema-strict — custom extensions beyond JSON Resume spec may be rejected","Transformation from non-JSON formats (PDF, DOCX) requires external OCR/parsing; this MCP only handles structured input","No fuzzy matching for field names — typos in keys will fail validation","Normalization rules are opinionated — may not match all regional naming conventions","No ML-based entity recognition — relies on structured input with clear field boundaries","Skill categorization uses static taxonomy; no dynamic learning from new skill types","Generated content may require human review for accuracy and personalization","No built-in ATS optimization beyond keyword suggestions — relies on user validation","Content generation quality depends on input context; sparse input yields generic output","PDF generation requires external rendering engine (Puppeteer, wkhtmltopdf); adds latency and system dependencies","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.3,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:23:41.599Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-jsonresumemcp","compare_url":"https://unfragile.ai/compare?artifact=npm-jsonresumemcp"}},"signature":"Zb20GMV5QcwIzqFudN9pCZRhbZnu7ddDnukuJsNgkBJEgPYUNRAkDYs9mjPyQxgXvdqJs+YBqM1wXzzJVGftAQ==","signedAt":"2026-06-22T01:48:55.350Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-jsonresumemcp","artifact":"https://unfragile.ai/npm-jsonresumemcp","verify":"https://unfragile.ai/api/v1/verify?slug=npm-jsonresumemcp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}