Resume & Career Tools

MCP Agent Bridge includes 16 resume and career tools available on all three MCP servers (Claude, Codex, Copilot). Each tool embeds a specialized methodology from the ResumeSkills project at compile time — no network fetch at runtime.

Available Tools

Tool	Purpose
`career_fact_extractor`	Extract a fact-ID-tagged career database from any source material
`cover_letter_generator`	Personalized cover letters with match analysis
`creative_portfolio_resume`	ATS + designed resume for creative professionals
`executive_resume_writer`	C-suite, VP, and Director-level resumes
`interview_prep_generator`	STAR-method prep with predicted questions
`job_description_analyzer`	Match scoring, keywords, red flags
`linkedin_profile_optimizer`	Algorithm-aware LinkedIn profile rewrite
`portfolio_case_study_writer`	Six-section case studies for portfolios
`reference_list_builder`	Reference strategy and briefing materials
`resume_ats_optimizer`	ATS keyword matching and formatting fixes
`resume_bullet_writer`	Transform duty bullets into achievement bullets
`resume_formatter`	ATS-safe formatting audit and repair
`resume_quantifier`	Add metrics using estimation methodology
`resume_section_builder`	Build targeted sections by career stage
`resume_tailor`	Tailor a master resume to a specific posting
`recruiter_first_screen_simulation`	Simulate a skeptical hiring manager's 45-second resume screen
`resume_version_manager`	Organize and track multiple resume versions
`tech_resume_optimizer`	Optimize for software engineering and technical roles

Usage Examples

Extract Career Facts (before tailoring)

{
  "tool": "career_fact_extractor",
  "arguments": {
    "source_material": "Jane Smith\nSenior PM at Acme 2021-2024. Led checkout redesign, cart abandonment dropped from 68% to 41%...\n[paste resume, LinkedIn, brag doc, etc.]",
    "additional_context": "Targeting Staff PM roles at Series B startups"
  }
}

Output includes: Fact list with IDs (FACT-001…), categories, source text, confidence ratings, gaps (e.g. no leadership evidence), and fabrication risks.

Pass the output as career_facts to resume_tailor for evidence-mapped, verifiable tailoring.

Simulate a Recruiter First Screen

{
  "tool": "recruiter_first_screen_simulation",
  "arguments": {
    "resume": "[full resume text]",
    "job_description": "[full job posting text]",
    "seniority_level": "senior"
  }
}

Output includes: Yes/Maybe/No decision, top 5 reasons, top 5 concerns, strongest evidence, weakest sections (with specific text), missing seniority signals, exact rewrites to make, and scores across 6 dimensions (role fit, clarity, seniority signal, impact, credibility, keyword alignment).

Generate a Cover Letter

{
  "tool": "cover_letter_generator",
  "arguments": {
    "resume": "Jane Smith\nSenior Product Manager, 8 years...\n[full resume text]",
    "job_description": "We're hiring a Senior PM to lead our growth team...\n[full JD]",
    "company_name": "Acme Corp",
    "role_title": "Senior Product Manager, Growth",
    "additional_context": "I noticed Acme just raised a Series B and is expanding into APAC."
  }
}

Output includes: Match score analysis, complete cover letter, 2 alternative hooks, 3 interview talking points.

Analyze a Job Description

{
  "tool": "job_description_analyzer",
  "arguments": {
    "job_description": "We are looking for a Staff Software Engineer...\n[full JD]",
    "resume": "John Doe\nSoftware Engineer, 6 years...\n[full resume text]"
  }
}

Output includes: Requirements breakdown, keyword list, match score (e.g. 78/100), gap analysis by severity, red flags, and application recommendation.

Optimize for ATS

{
  "tool": "resume_ats_optimizer",
  "arguments": {
    "resume": "[full resume text]",
    "job_description": "[full job posting text]",
    "industry": "tech"
  }
}

Output includes: Keyword extraction, current match score with gap list, keywords to add with placement, formatting fixes, optimized sections, projected match score.

Tailor a Resume (with evidence map)

{
  "tool": "resume_tailor",
  "arguments": {
    "resume": "[master resume text]",
    "job_description": "[full job posting text]",
    "company_name": "Stripe",
    "role_title": "Engineering Manager",
    "career_facts": "[output from career_fact_extractor]"
  }
}

Output includes: Keyword extraction, resume audit, tailored summary, reordered skills, bullet rewrites, sections to add/remove, cover letter red flags, evidence map (each bullet → source Fact IDs), removed claims (unsupported claims dropped), questions for missing proof, and pre-submission checklist.

Omit career_facts to tailor without the evidence map.

Improve Resume Bullets

{
  "tool": "resume_bullet_writer",
  "arguments": {
    "bullets": "Managed social media accounts\nResponsible for customer support\nHelped with product launches",
    "role_context": "Marketing Manager at a B2B SaaS company, team of 3",
    "metrics_available": "Social following grew from 5K to 17.5K; support tickets resolved ~200/month"
  }
}

Output includes (per bullet): Diagnosis, discovery questions, 2-3 rewritten versions, recommended version with explanation.

Prepare for an Interview

{
  "tool": "interview_prep_generator",
  "arguments": {
    "resume": "[full resume text]",
    "job_description": "[full JD text]",
    "company_name": "Google",
    "role_title": "Senior Software Engineer",
    "interview_format": "technical + behavioral"
  }
}

Output includes: Top 10-15 predicted questions ranked by probability, 3-5 STAR stories, 2-minute self-introduction, 5-7 questions to ask, strategies for difficult questions.

Optimize a Tech Resume

{
  "tool": "tech_resume_optimizer",
  "arguments": {
    "resume": "[full resume text]",
    "role_type": "software_engineer",
    "job_description": "[full JD text]",
    "career_level": "senior"
  }
}

Output includes: Restructured skills section, bullet rewrites per role, projects section, GitHub recommendations, ATS keyword gaps.

Build a Creative Portfolio Resume

{
  "tool": "creative_portfolio_resume",
  "arguments": {
    "experience": "[work history and projects]",
    "skills": "Figma, Adobe XD, user research, prototyping, design systems...",
    "field": "ux_design",
    "target_role": "Senior UX Designer",
    "portfolio_url": "https://portfolio.example.com"
  }
}

Output includes: Field analysis, ATS-compatible resume, designed version with typography/color recommendations, field-specific tips, portfolio link strategy.

Write a Portfolio Case Study

{
  "tool": "portfolio_case_study_writer",
  "arguments": {
    "project_description": "Led redesign of checkout flow for e-commerce platform. Team of 4. 3-month timeline. Constraint: could not change payment provider.",
    "outcomes": "Cart abandonment reduced from 68% to 41%. Revenue increased $2.3M annually.",
    "field": "design",
    "depth": "essential"
  }
}

Output includes: Full case study in 6-section framework, executive summary (3 sentences), 3 interview questions it prepares you for, suggested visual artifacts.

Optimize a LinkedIn Profile

{
  "tool": "linkedin_profile_optimizer",
  "arguments": {
    "current_profile": "Headline: Software Engineer at Acme\nAbout: I'm a passionate developer...\n[rest of profile]",
    "target_role": "Staff Engineer",
    "industry": "fintech"
  }
}

Output includes: 3 optimized headline options, rewritten About section, experience bullet rewrites, skills recommendations, featured section strategy, keyword gap analysis, 30-day action plan.

Choosing the Right Tool

Situation	Recommended Tool(s)
Applying to a specific role (full workflow)	`career_fact_extractor` → `resume_tailor` → `recruiter_first_screen_simulation` → `cover_letter_generator`
Applying to a specific role (quick)	`resume_tailor` → `cover_letter_generator`
Worried about fabrication / want evidence map	`career_fact_extractor` → `resume_tailor` (with `career_facts`)
Resume not getting past ATS	`resume_ats_optimizer`
Want honest recruiter feedback	`recruiter_first_screen_simulation`
Bullets feel weak or generic	`resume_bullet_writer` or `resume_quantifier`
Preparing for interviews	`interview_prep_generator`
Building resume from scratch	`resume_section_builder`
Formatting looks off	`resume_formatter`
Managing many applications	`resume_version_manager`
Applying for tech roles	`tech_resume_optimizer`
Creative field	`creative_portfolio_resume` + `portfolio_case_study_writer`
Senior/exec role	`executive_resume_writer`
LinkedIn not getting views	`linkedin_profile_optimizer`
Need references	`reference_list_builder`

Which Server to Use

All 16 tools are identical across Claude, Codex, and Copilot servers. Choose based on what you're already using:

Claude (claude_reviewer) — best for nuanced writing and detailed structured output
Codex (codex_reviewer) — OpenAI model alternative
Copilot (copilot_reviewer) — if Copilot is your primary coding agent

For complete API reference including all input parameters, see the Claude Tools API, Codex Tools API, or Copilot Tools API.

Available Tools​

Usage Examples​

Extract Career Facts (before tailoring)​

Simulate a Recruiter First Screen​

Generate a Cover Letter​

Analyze a Job Description​

Optimize for ATS​

Tailor a Resume (with evidence map)​

Improve Resume Bullets​

Prepare for an Interview​

Optimize a Tech Resume​

Build a Creative Portfolio Resume​

Write a Portfolio Case Study​

Optimize a LinkedIn Profile​

Choosing the Right Tool​

Which Server to Use​