Career Compass MCP vs Hirejack MCP
A side-by-side look at the Career Compass 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.
C
Career Compass MCPWorkplace & Productivity · Local subprocess (stdio)AI-native career co-pilot for Claude — Career KB, resume tailoring, job pipeline, interview prep, and offer evaluation via MCP60GoodAuth: not declaredVerdict: choose Career Compass MCP for workplace & productivity work as a local process; choose Hirejack MCP for workplace & productivity as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
CChoose Career Compass MCP when
- You need dedicated capabilities in the Workplace & Productivity domain.
- You prefer a local stdio subprocess transport.
- You want tools like
explore_opportunity, research_company, tailor_resume.
Choose Hirejack MCP when
- You need dedicated capabilities in the Workplace & Productivity domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: OAuth 2.0.
- You want tools like
search_jobs, get_job, get_company_profile.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | C Career Compass MCP | |
|---|---|---|
| Category | Workplace & Productivity | Workplace & Productivity |
| Quality signal | 60/100 · Good | 60/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | 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 | 6 | 0 |
| Directory activity | 0 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 19 | 31 |
| Full listing | View Career Compass MCP | View Hirejack MCP |
Tools & capabilities
Career Compass MCP tools 19
explore_opportunityJudges a posting against your KB **and your stated preferences** — salary band, remote, relocation, notice period. Opens with a verdict (Strong fit, Stretch, or Long shot) and the biggest reason, then an explicit comp and location check, evidence per requirement, honest gaps, talking points and red…research_companyBuilds an intelligence brief: product, culture, funding, interview process, strategic fittailor_resumeWrites a résumé tailored to one posting from your KB — standard, federal, academic, or functional — using the posting's words only where your history says the same thinggenerate_cover_letterWrites a cover letter with your actual achievements woven in, in a tone you pick — professional, conversational, enthusiastic, or conciseformat_for_atsReformats résumé text you already have into plain sections an applicant tracking system can parse, ready to paste field by field (Workday, Greenhouse, Lever, LinkedIn, iCIMS, Taleo, SmartRecruiters, or generic). Reformats only; it never rewrites what you didanswer_applicationAnswers an application form's questions from your KB, each within its limit. Work authorization, salary and start date come only from what you saved or said, and a "years with X" your history can't support is flagged, never inflatedpipeline_viewLists applications, funnel stats, what needs attention, or one application by idpipeline_addAdds one application, dated the day you applied (`dateApplied`, defaults to today). Optional starting `status` (defaults to `applied`); unknown statuses are rejected with a did-you-mean suggestionpipeline_updateUpdates one application — status, notes, follow-up date, a contact, an interview round and how it went, or an offer's terms and answer deadlineclassify_emailClassifies a job-search email and extracts contacts, dates, and suggested pipeline updatesprepare_interviewFull prep: opening pitch, STAR stories, likely questions, company alignment, questions to askinterview_arcMid-process projection. Reconstructs the arc so far from your recorded rounds and journal signals, then projects what the **next** round will probe — ground already covered, threads the last interview left open, gaps nobody has tested yet, ranked likely questions- +7 more on the listing page
Hirejack MCP tools 31
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.- +19 more on the listing page
Ready-to-paste client configs
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.
Career Compass MCP
{
"mcpServers": {
"career-compass-mcp": {
"command": "npx",
"args": [
"-y",
"career-compass-mcp"
]
}
}
}
Hirejack MCP
{
"mcpServers": {
"tvlss-hirejack-mcp": {
"command": "npx",
"args": [
"-y",
"@hirejack/mcp"
]
}
}
}
Frequently asked questions
Career Compass MCP is categorized under Workplace & Productivity and uses a local stdio subprocess. Hirejack MCP belongs to Workplace & Productivity and uses a local stdio subprocess. Pick Career Compass MCP for workplace & productivity work and Hirejack MCP for workplace & productivity.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Career Compass MCP has no declared pricing — check the project's own site. Hirejack MCP is listed as freemium — a free tier with paid plans. Auth: oauth 2.0. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add career-compass-mcp and tvlss-hirejack-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Career Compass MCP has a quality signal of 60/100 (Good) with 0 views, 0 installs and 6 GitHub stars. Hirejack MCP has 60/100 (Good) with 2 views, 0 installs and 0 GitHub stars.