"LinkedIn search functionality" matching MCP servers:

An MCP server that enables AI assistants to interact with LinkedIn, including job search, profile viewing, resume/cover letter generation, and application tracking.

Local MCP server that manages a job search using Markdown files, enabling skills tracking, gap analysis, and offer pipeline management via Claude.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

Enables to interact with Jira AIO Test Case Management System, allowing retrieval of test cases, projects, folders, and search functionality.

A Model Context Protocol server for downloading Jira Cloud attachments by attachment ID to local disk. Supplements the official Atlassian MCP server which lacks attachment download functionality.

A Deno implementation that enables AI models to interact with Linear issue tracking functionality, supporting searching issues, reading details, updating, and commenting.

Enables integration with Dooray API for comprehensive project management including task operations, comment management, tag organization, search functionality, and user management. Supports task creation, modification, status updates, assignee management, and collaborative features through natural language interactions.

Enables search and management of Azure DevOps work items and wiki pages via MCP, wrapping the ado-search CLI.

Provides programmatic access to all Scoring Engine API functionality for managing Red/White/Blue team cybersecurity competitions, including scoreboard, overview, team management, service management, injects, notifications, and admin tools.

A Model Context Protocol server that integrates Shortcut project management functionality with AI assistants like Cursor, Windsurf, Claude Code, and Zed.

A Model Context Protocol server implementation compatible with Todoist API, allowing AI agents to interact with task management functionality through standardized MCP tools.

Enables spec-driven development with task tracking, approval workflows, and real-time progress monitoring through OpenSpec CLI functionality. Includes a web dashboard for visual management of change proposals and specifications.

An MCP server that connects to Backlog API, providing functionality to search, retrieve, and update issues through natural language commands.

Enables interaction with Linear resources through an MCP interface, offering functionality for issue management and resource retrieval with rate limiting and error handling support.

A Model Context Protocol (MCP) server that provides AI assistants with access to Trello's functionality. This server enables AI models to interact with Trello boards, lists, and cards programmatically.

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.

A Model Context Protocol (MCP) server that exposes Kanboard API functionality to Large Language Models (LLMs), enabling AI assistants to interact with Kanboard project management system.

Enables comprehensive interaction with the GitHub API, including file operations, repository management, issue tracking, pull request workflows, and advanced search functionality across code, issues, and users.

A Model Context Protocol server that provides AI assistants with structured access to kanban board functionality for managing tasks, columns, labels, and sprints.

Enables AI assistants to manage Todoist tasks, projects, labels, sections, and comments through natural conversation. Supports comprehensive task operations including creation, updates, completion, and organization with natural language quick-add functionality.