"A search for job posts and job poster details on LinkedIn" matching MCP servers:

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 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.

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.

Enables automated job searching from multiple boards, filtering matches against saved criteria, deduplicating seen postings, and tracking application statuses. Runs locally and integrates with Claude Desktop for natural-language queries and updates.

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.

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.

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

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

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.

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.

MCP server that exposes job search data from multiple boards, enabling clients to query and manage job listings via natural language.

Enables running a job search with Claude Code: parses CV, discovers roles, fetches exact application fields, drafts non-trivial applications (positioning, not autofill), and renders an offline dashboard for review.

Cache-first MCP server for Romanian job search with Jooble integration, enabling local job search, quota management, and structured detail extraction.

Enables AI assistants to search and retrieve real-time job listings from the Technopark job portal using Puppeteer web scraping. Users can search by role or keyword to obtain job details including company name, closing date, and posted date.

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 searching and analyzing H-1B visa sponsoring companies using U.S. Department of Labor data. Supports filtering by job role, location, and salary with natural language queries to find direct employers and export results.

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.