"A tool for searching jobs and automatically applying" matching MCP servers:

MCP server for job search that crawls job listings using Playwright, with a fix for stdout pollution on Windows/WorkBuddy.

A Node.js and TypeScript server that enables searching for job listings and accessing job market statistics via the Model Context Protocol. It provides tools for job queries and arithmetic operations alongside resources for featured listings and market data.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables natural-language job search and aggregation from multiple recruitment websites with zero configuration, providing filtered results and standardized output for AI assistants.

A zero-configuration job aggregation server that enables searching for positions and retrieving details across multiple recruitment platforms using natural language. It provides standardized data for job requirements, salary comparisons, and market trends directly within AI clients.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

Enables searching for job opportunities across multiple platforms like Upwork, RemoteOK, and GitHub while automatically generating tailored application proposals based on keyword scoring. It includes tools for scanning all sources simultaneously and managing a professional profile for quick reference during applications.

Live open jobs from companies' own Greenhouse, Lever and Ashby boards via their official public APIs, with publish-verified dates, age, long-open and repost signals, filters and change tracking.

Enables real-time job search across thousands of companies' open roles from Greenhouse, Lever, Ashby, and SmartRecruiters, with full-text filtering and company-specific queries, no API key required.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

A Model Context Protocol server that provides Google Jobs search capabilities through SerpAPI integration, featuring multi-language support, flexible search parameters, and rich job details.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.

Turns any OpenAPI spec into a single-tool MCP server where the model writes JavaScript against a typed api object in a QuickJS sandbox, so multi-step tasks run in one round trip and only the final result reaches context. Credentials, rate limiting, retries, write gating and audit logging stay on the host, outside the sandbox.

Enables AI agents to pull live job listings from major ATS platforms (Greenhouse, Lever, Ashby, Workable), Hacker News hiring threads, and detect hiring signals on company career pages.

MCP proxy server with semantic tool search for LLM coding agents. It reduces context window usage by activating only relevant tools based on user queries.

Enables users to query every open job from companies' own ATS boards by domain or board URL, with filters for title, location, department, recency, remote status, and new postings, returning one row per job plus company-level status and optional descriptions.

Enables lightweight web search discovery and on-demand extraction of cleaned page text from supplied URLs, returning snippets, headings, links, and saved full text for longer pages.

Enables searching LinkedIn's public job listings by keyword and location and returning one row per job, with employer website domains resolved where possible and optional posting details.

Audits MCP tool descriptions for quality and reliability, scoring them 0-100, detecting smells, and providing rewritten versions for better agent accuracy.

Central registry for AI tools with vector search and knowledge graph, enabling intelligent tool discovery, chaining, and execution via MCP.

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.

An MCP server implementation of Anthropic's Think Tool prompt engineering technique that enables Claude to break down complex problems and enhance its reasoning capabilities by providing a simple tool that echoes back thoughts.

Enables local OCR transcription of images using tesseract.js, with optional low-token AI-generated descriptions, folder batch processing, and compatibility with MCP clients like ChatGPT, Claude, opencode, and Cursor.

SSH automation MCP server that enables Claude and ChatGPT to execute commands, manage files, install packages, and control services on remote servers over SSH — supporting password, key, and agent authentication.

A single MCP server that provides dynamic access to thousands of APIs through discovery and proxy, eliminating the need to install and configure multiple separate MCP servers.

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

Enables AI assistants to leverage Qwen's code analysis capabilities with large context windows, supporting file/directory analysis, sandbox execution, and multiple approval modes for safe code operations.