"A search for recent LinkedIn posts about a specific job role" matching MCP servers:

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

An MCP server that enables users to interact with LinkedIn feeds and search for job listings through natural language. It provides tools for retrieving recent feed posts and searching for professional opportunities based on specific keywords and locations.

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

Enables agents to publish posts to your own LinkedIn feed, with a linter that blocks machine-written tells like em-dashes.

Enables publishing to LinkedIn from a Second Brain using four tools and the official API, with a handbrake that requires confirmation before posting and supports deleting posts.

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 searching and scraping job postings from supported sites via Playwright, extracting details, registering them to a Notion database with deduplication, and sending tiered collection summaries to Discord.

MCP server for safe LinkedIn automation: official-API posting, comments, and likes plus guest-endpoint job search and a local application tracker.

MCP server for LinkedIn publishing from AI coding assistants. Dry run by default, SKILL.md for safe workflows, 28 unit tests. MIT licensed.

MCP server for XXL-JOB Admin that enables AI assistants to manage scheduled jobs through natural language, including task lifecycle management, manual triggering, cron preview, and execution log retrieval.

MCP server that posts to LinkedIn through the LinkedIn API. Enables creating text posts on your LinkedIn profile using natural language from any MCP-compatible client.

An MCP server for LinkedIn automation that enables users to search for jobs, retrieve profile details, manage connections, and read or send messages. It leverages Playwright and Browserbase to interact with LinkedIn through an existing authenticated browser session.

Dynamic tools to automate tasks on LinkedIn website.

Enables an AI agent to drive a real LinkedIn account through a persistent browser session, covering full profile editing, people and content interactions (searching, connecting, messaging, posting, reacting), and job search with step-by-step Easy Apply submissions. It reads data through LinkedIn's internal Voyager API while writing through the actual UI, with a saved answer bank so repeated application questions are resolved automatically.

Enables searching for AI/ML internships and entry-level positions across multiple job sites including LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Monster. Automatically filters for Python proficiency and relevant AI/ML skills while providing structured job data with application URLs and detailed requirements.

An MCP server that posts PDF/carousel content to a personal LinkedIn profile via LinkedIn's official REST API. It handles OAuth and provides tools to upload documents and publish posts.

Enables users to search for jobs, retrieve profiles, and fetch feed posts through the LinkedIn API. It also provides tools for analyzing and extracting data from PDF resumes.

Enables tracking job applications by connecting Gmail to retrieve emails, process job details, manage statuses, and generate statistics.

Enables AI agents to prepare job-tailoring prompts, export tailored resumes to Google Docs, inspect job details, and retry pending evaluations through JSON-RPC 2.0 tools.

Helps users find suitable LinkedIn job opportunities by automatically scraping listings, analyzing compatibility with user profiles using AI, and sending custom match reports via email.