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

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

Enables AI assistants to search, filter, and extract job listings from LinkedIn using an automated headless browser with semantic AI filtering and deduplication.

JobPilot is a next-generation career assistant powered by AI Agents and the Model Context Protocol (MCP). It acts as your personal recruiter, tirelessly searching for jobs on platforms like LinkedIn, optimizing your resume for specific job descriptions (JD), and even automating the application process. Designed for the age of AI, JobPilot exposes a full MCP server, allowing you to connect it with

This server enables remote job discovery, tailored CV creation, and approval-gated application lifecycle management. It prioritizes safe, factual job applications without authenticated LinkedIn scraping or silent submissions.

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.

Enables searching and analyzing real H-1B visa sponsorship data from the U.S. Department of Labor, including job titles, salaries, locations, and company statistics.

This MCP server enables job intelligence retrieval and ranking, providing tools to list jobs, fetch details, access corpus statistics, and score candidates against job descriptions using staged retrieval to optimize LLM context usage.

A job-search MCP server that ranks roles, drafts cover letters, and rehearses Q&A answers using a candidate profile, with live listings from five public sources.

An MCP server that enables coding agents to execute and manage long-running shell commands asynchronously with capabilities for process monitoring, interaction, and lifecycle management.

MCP server that lets you publish text and image posts to LinkedIn, fetch your profile, and check auth status using natural language.

Enables an MCP-compatible assistant to search public job listings from EURES without an API key, returning details such as title, company, location, remote status, and listing URLs.

Enables multi-source tech job search and application with CV-based skill extraction, deduplication, and scoring across HireMeTech, Comeet, and AllJobs, supporting autonomous or supervised workflows.

Enables job search on LinkedIn through MCP tools, including keyword and location search, filtering by remote, easy apply, experience level, job type, and date, and retrieving job details.

Enables AI clients to serve as a personal career analyst by searching, matching, and explaining job recommendations, managing job applications, and syncing public job boards through standardized MCP tools.

Enables users to search for remote job listings using Playwright browser automation, fully containerized with Docker and compatible with Claude Desktop.

A Model Context Protocol server that enables seamless interaction with LinkedIn for job applications, profile retrieval, feed browsing, and resume analysis through natural language commands.

Search Recruiter Roles: live recruiter jobs, companies, sectors, locations, and market stats.

Enables AI assistants to access and interact with LinkedIn data—profiles, messaging, jobs, companies, and more—via MCP, with remote or local deployment.

Enables searching and scraping of LinkedIn for structured data on people, companies, and job listings. It allows AI clients to retrieve detailed profiles, experience, and activity sections using browser automation.