A side-by-side look at the Getjobzi MCP and Hirejack MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Getjobzi MCP for workplace & productivity work over a hosted endpoint; choose Hirejack MCP for workplace & productivity as a local process. You can also run both side by side in one mcpServers block.
market_demand_analysis, career_strategy, generate_cover_letter.search_jobs, get_job, get_company_profile.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Workplace & Productivity | Workplace & Productivity |
| Quality signal | 55/100 · Good | 60/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | OAuth 2.0 |
| Pricing | Not declared | Freemium |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 2 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 18 | 31 |
| Full listing | View Getjobzi MCP | View Hirejack MCP |
market_demand_analysisAnalyse live UK market demand for a role over the last N months (default 6): total postings, month-by-month trend, top hiring employers, and top locations. Deterministic — reads GetJobzi's aggregated posting data directly.career_strategyPropose a 90-day job-search strategy for a specific target role, grounded in the candidate's resume: positioning, target segments, outreach approach, application cadence, and what to stop doing.generate_cover_letterGenerate a tailored, plain-text cover letter for a specific job, grounded in the candidate's resume. Does not invent experience. Provide the resume as plain text or base64 PDF, plus the job title and full job description.linkedin_reviewReview a resume and produce LinkedIn-optimised copy: a headline (max 220 chars), an About section (max 2600 chars, first-person), 10-15 top skills, and short review notes on what to improve. Grounded in the resume — will not invent experience.analyze_resumeAnalyse a CV/resume and return a 0-100 ATS-readiness score, word and keyword counts, the top extracted keywords, and specific notes on gaps or issues (missing contact details, missing section headers, length problems). Provide the resume as plain text via resumeText, or as a base64-encoded PDF via resumeBase64.career_path_analysisAnalyse the realistic path from a current role to a target role: 4-6 ordered milestones, a realistic estimated timeline, the skills to acquire, and a short narrative covering trade-offs.create_job_search_planCreate a practical, week-by-week job search plan for a target role, including weekly targets, sources and search strategies, and pitfalls to avoid.skill_development_planBuild a structured development plan to close a set of skill gaps for a target role: what to learn, how to practice, a small deliverable per skill, and a week-by-week schedule. Pair with identify_skill_gaps — feed its missingSkills straight into this.diagnose_job_searchDiagnose why a job search isn't producing interviews, from caller-supplied application/interview counts. Returns interview conversion, likely issues, priority actions, and an optional short narrative (null if generation failed — never fabricated). This is a lightweight, stateless diagnostic — it does not use GetJobzi's account-level job search history and never states or implies a probability of being hired.get_job_detailsFull details of one job posting by its GetJobzi job id (from search_jobs), including the complete job description text.find_sponsored_jobsFind NHS job postings — NHS trusts are licensed visa sponsors, so most roles at these trusts are eligible for Skilled Worker sponsorship where the salary meets the threshold. Filtered to NHS Jobs postings only. Returns the same shape as search_jobs, with the full job description included.find_matching_jobsFind live UK job postings that match a candidate's resume. Extracts the top keywords from the resume, searches GetJobzi's aggregated postings, and ranks results by similarity between the resume text and each posting's description.search_jobsSearch HireJack's database of live tech job postings. Filter by keyword, role family, seniority, skill, location, salary, remote policy, or visa sponsorship, and sort by newest or highest pay. Returns a slim list of jobs with title, company, location, salary range, posted date, and key skills. Use this for queries like 'remote senior backend roles paying $200K+', 'highest paying Rust jobs' (sort='salary'), 'data engineer jobs at fintech companies', 'who is hiring Rust developers in NYC'. Not for a single known posting (`get_job`), company-level questions (`get_company_profile`), personalized ranking (`recommendations`), or aggregate market stats (`get_market_pulse`).get_jobFetch one job posting by domain + jobId, or by HireJack detail URL. Returns title, company, location, salary, skills, seniority, posted date, visa/remote/education metadata, and (when available) the AI summary. Use after `search_jobs` when the user picks a specific role to discuss, or when the user pastes a HireJack job URL. Not for browsing or filtering postings (`search_jobs`) or personal fit scoring (`match_job`).get_company_profileFetch HireJack's full hiring profile for a single company by domain. Returns: tech stack (top skills with counts), role distribution, seniority breakdown, location breakdown, hiring trend (% MoM), salary medians where disclosed, and an AI-generated hiring brief. Use this for queries like 'what is Stripe hiring?', 'what tech does Anthropic use?', or before comparing companies. Not for historical trends (`get_company_history`, Analyst) or the user's personal fit (`company_fit`).search_companiesList HireJack's tracked companies with hiring volume. Filter by name/domain (`q`) or industry. Returns slim records with domain, name, industry, total open jobs, and engineering job count. Use this to find companies in a sector ('which fintech companies are hiring?') or to resolve a company name to its domain before calling get_company_profile. Not for deep per-company data (`get_company_profile`) or multi-axis segmentation by trend/skill/job-count (`find_companies`, Analyst).get_market_pulseGet HireJack's market-wide snapshot: total open tech jobs, tracked companies, remote share, top skills by demand, top companies by hiring volume, and trending skills (week-over-week movers). Use for high-level market questions like 'how is the tech job market right now?' or 'what skills are trending?'. Not for history or time-series (`get_market_history`, Analyst) or job-level search (`search_jobs`).match_jobScore how well the authenticated user matches a specific job. Pro tier. Returns matchPct (0-100, the same score the website shows for this job), requirementsPct (how much of this posting's own requirement list the user meets), a dimension breakdown (skills, role, seniority, location, remote — plus experience when both the user's resume-derived years and the job's required years are known, and semantic when both the user's profile and the job carry embeddings), matched/missing/bonus skill lists, an experienceFit comparison, ATS-specific resume tips for the company's ATS, and a priorityScore that factors hiring velocity. Use for queries like 'how well do I match this job?' or 'should I apply?'. Not for company-level fit (`company_fit`) or discovering new jobs (`recommendations`).company_fitScore how well the authenticated user fits a company. Pro tier. Returns fitScore (0-100), 5-dimension breakdown (tech stack 40%, roles 25%, seniority 15%, location 10%, hiring trend 10%), matching skills, skill gaps, role alignment, and a hiring-momentum signal. Use for 'is Anthropic a good fit for me?' or 'compare these companies for me'. Not for scoring a specific job posting — use `match_job` for that.recommendationsGet top job recommendations for the authenticated user, scored against their profile (skills, desired roles, seniority, location, remote preference) and hard-filtered by their remote/US-only/minimum-salary preferences. Pro tier. Returns jobs ranked by composite match score with per-job match details (default 10, `limit` up to 50). Use for 'show me jobs that match me' or 'what should I apply to this week?'. Not for unpersonalized filter searches (`search_jobs`) or scoring one known job (`match_job`).salary_benchmarkCompare a salary against the live HireJack market for a role family + seniority slice. Pro tier. Returns precomputed P10/P25/P50/P75/P90 percentiles, the user's percentile ranking (when `salary` is supplied), and a career-ladder progression of medians by seniority. Use for 'am I paid well as a senior backend engineer?' or 'what should I ask for?'. Not for a specific job's posted range (`get_job`) or market-wide comp stats (`get_market_pulse`).skill_gapAnalyze the gap between the authenticated user's current skills and what their desired roles require in the live market. Pro tier. Returns matchPct (0-100), the list of skills the user already has that map to their target roles, and the list of missing skills ranked by impact (how often the skill appears in target-role postings). Use for 'what should I learn next?' or 'how close am I to senior PM roles?'. Not for simulating the payoff of skills the user might LEARN — use `skill_impact` for that.market_positionCompute the authenticated user's market position score (0-100). Pro tier. Weighted: 50% skill demand against current market, 20% seniority fit, 15% remote availability for the user's preference, 15% skill breadth. Returns score, matchingJobs count, salaryMedian for matching roles, per-skill demand breakdown, and the top companies whose tech stacks align best with the user's skills. Use for queries like 'how do I stack up against the market?' or 'what's my market position right now?'. Not for job-specific (`match_job`) or company-specific (`company_fit`) scores.skill_impactFor each skill the authenticated user does NOT have, simulate adding it and compute the market impact. Pro tier. Returns a ranked list of skills with: newJobsUnlocked (jobs that previously didn't match but would after learning the skill), boostedJobs (existing matches that would score higher), companiesNeedingIt, relevantRoles, and a composite impactScore. Also returns profileCompleteness so the caller can suggest filling missing profile fields. Use for queries like 'what should I learn next?' or 'which skill would unlock the most jobs for me?'. Not for auditing the user's CURRENT skills against their target roles — use `skill_gap` for that.Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
{
"mcpServers": {
"getjobzi-mcp": {
"url": "https://www.getjobzi.com/mcp"
}
}
}
{
"mcpServers": {
"tvlss-hirejack-mcp": {
"command": "npx",
"args": [
"-y",
"@hirejack/mcp"
]
}
}
}