"A server for finding job opportunities" matching MCP servers:

Enables AI assistants to search U.S. federal contract opportunities and retrieve detailed notice or award information through read-only tools with typed filters and cost-capped Apify-backed calls.

Enables searching and managing job postings across multiple job boards through a unified MCP interface, with deduplication and persistent tracking of application statuses.

Profile-driven job search engine that aggregates postings, scores them against a user's profile, filters by eligibility (location, timezone, work authorization), and exposes find_jobs, list_sources, and describe_engine to local AI agents over MCP.

Enables real-time job discovery across multiple job boards and remote APIs, providing normalized and deduplicated job listings to AI agents via MCP.

Enables LLM agents to search jobs, retrieve individual job details, access statistics, and mark application statuses by querying a SQLite-backed job database.

Job search mechanics for an AI assistant: search Arbeitnow/Adzuna/JSearch, fetch a single job posting, render a CV to PDF, lint it against your own configurable anti-fabrication rules, and log the outcome to your application registry. Never auto-applies.

A personal job-search assistant for Claude Desktop that searches real job boards, scores each job 0–100 for fit, and displays a ranked board for fast triage.

Enables an AI assistant to search open roles at a configured short list of companies through official public Greenhouse, Lever, and Ashby job board APIs, filter matches by career lane, retrieve full job descriptions, and save selected roles to a Notion tracker.

Enables searching and filtering public institution job postings from the Korean government's ALIO system via MCP.

Enables AI agents to search public job listings across 104 and Cake simultaneously from natural-language queries and fetch full details for each result through source-specific job references. It is read-only and preserves per-source status and original links without logins, cookies, applications, or tracking.

Enables AI assistants to evaluate job postings under a UK visa constraint, including sponsor-licence checks with confidence grades, screening for seniority and hard requirements, and role searches that exclude recruitment agencies. It also tracks application history to help avoid duplicate applications.

Enables Claude to search current US job postings from free public feeds and filter them by title, level, salary, location, remote/hybrid, age, and work-authorization wording, while remaining read-only and local.

An MCP server that retrieves resume/experience evidence relevant to a job description via vector RAG, and tracks fit-analysis results in a configurable tracking store (Notion or SQLite), with tools like match_job, push_to_tracker, and list_applications.

MCP server that scours job openings from public, ToS-clean sources (Greenhouse, Lever, Ashby, HN, RemoteOK, Adzuna, USAJobs) and provides tools for job search, company listings, and salary context.

Enables Claude to search public DOU and Djinni job postings concurrently, score each result against a stored profile with explainable skill, role and seniority matching, and track applications through a SQLite-backed pipeline. Also supports saving jobs, updating statuses, and generating tailored cover letters and talking points.

Searches job postings from Korean job platforms (JobKorea, Saramin) by company name, offering both single and bulk search tools.

Enables AI agents to search, rank, and explain job matches through a secure read-only interface that blocks prompt injections and unsafe content.

MCP server for combined multi-portal job search, connecting StepStone, Arbeitnow, Remotive, and We Work Remotely, with robust error isolation and markdown reports. It respects portal restrictions and avoids scraping protected services.

MCP server that aggregates and deduplicates job listings from multiple public sources, ranks them against a user's resume, and exposes tools for searching, viewing details, explaining fit, and tracking applications.

MCP server that aggregates job listings from Remotive and Arbeitnow, with local SQLite caching, application tracking, and saved searches.

Enables searching and evaluating job postings from LinkedIn and freehire.me directly through Claude Desktop. Provides tools to search jobs, fetch full posting details, and assess candidate fit using eligibility scans and a scoring rubric.

Searches job listings from Taiwanese job boards (104 and Yourator) and returns normalized results.

Enables AI agents to search remote job listings, read full descriptions and structured metadata, compare roles, and retrieve original application links when the account's subscription and scopes allow.

Enables an MCP-capable coding agent to run a local-first job search: recording verified opportunities in a private SQLite tracker, tracking follow-ups and outcomes, and preparing evidence-based resumes, application answers, and outreach drafts. It keeps all personal data on the user's machine and stops before submitting applications, uploading documents, or contacting anyone.

Enables AI assistants to search Naukri.com for remote jobs and side gigs, score and rank matches against the user's resume, pull full job details, and draft outreach or apply only to jobs the user approves.

An MCP server that finds recent job postings based on your LinkedIn profile, scores each against your resume, and logs the results — all without logging into or scraping LinkedIn.

An MCP server that exposes job-search and application-management capabilities to compatible AI clients, enabling discovery of vacancies, drafting of tailored application materials, and coordinated human-approved submissions.

Enables searching for jobs with filtering by keywords, excluded keywords, remote preference, and time range.

Enables natural language management of job applications through MCP-compatible clients, including searching real job offers, creating and deleting applications, generating CVs or cover letters, and retrieving application metrics.

Enables job seekers to structure job descriptions, search a personal Markdown profile with hybrid BM25/dense retrieval, and compare a posting against that profile to see which requirements are supported, weak, or missing evidence. It also tracks applications and follow-up deadlines through JSON-backed tools whose writes stay as previews until a human turn confirms them.