A side-by-side look at the Remote Jobs MCP Server 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 Remote Jobs MCP Server 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.
search_jobs, get_job, get_similar_jobs.search_jobs, get_job, get_company_profile.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Workplace & Productivity | Workplace & Productivity |
| Quality signal | 57/100 · Good | 60/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | No auth required | OAuth 2.0 |
| Pricing | Free | Freemium |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 2 | 0 |
| Directory activity | 3 views 0 installs 1 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 12 | 31 |
| Full listing | View Remote Jobs MCP Server | View Hirejack MCP |
search_jobsOptional `query`, `geo`, `industry`, `jobType`, `jobLevel`, `company`, `postedAfter`, `salaryMin`, `salaryMax`, `currency`, `limit`, `cursor`.get_jobRequired `id`.get_similar_jobsRequired `jobId`; optional `limit`.search_companiesAt least one of `query`, `industry`, or `geo`; optional `limit` (up to 10).get_companyRequired `id` (numeric ID or slug).get_company_jobsRequired `companyId`; optional `limit`, `cursor`.get_roleRequired `role` slug.get_related_rolesRequired `role`; optional `limit`.resolve_taxonomyRequired `type` (`location` or `industry`) and `query`.list_taxonomiesRequired `type`: `locations`, `industries`, `job_types`, or `job_levels`.get_jobsKeeps the original full jobs feed and JSON in `content.text`.get_taxonomiesKeeps the original JSON in `content.text`.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": {
"jobicy-remote-jobs-mcp-server": {
"url": "https://jobicy.com/mcp"
}
}
}
{
"mcpServers": {
"tvlss-hirejack-mcp": {
"command": "npx",
"args": [
"-y",
"@hirejack/mcp"
]
}
}
}