"A server for finding job opportunities" matching MCP servers:

An AI-powered job search and application assistant that enables multi-source job hunting, OpenAI matching, cover letter generation, and hybrid application automation via Playwright, Chrome CDP, screen OCR, and manual assist.

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 real-time job discovery across multiple job boards and remote APIs, providing normalized and deduplicated job listings to AI agents via MCP.

Enables an AI agent to store a job-search profile locally, find public job-board postings, evaluate and rank them against the profile, and track seen, saved, applied, or dismissed jobs.

Enables LLM agents to search jobs, retrieve individual job details, access statistics, and mark application statuses by querying a SQLite-backed job database.

Job search mechanics for an AI assistant: search Arbeitnow/Adzuna/JSearch, fetch a single job posting, render a CV to PDF, lint it against your own configurable anti-fabrication rules, and log the outcome to your application registry. Never auto-applies.

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 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.

Enables AI agents to search public job listings across 104 and Cake simultaneously from natural-language queries and fetch full details for each result through source-specific job references. It is read-only and preserves per-source status and original links without logins, cookies, applications, or tracking.

Enables users to screen pasted job offers against a personal skills profile kept in local Markdown files, returning a fit verdict with evidence and deal-breakers while tallying missing skills into a recurring gap radar. It also tracks each offer through its application lifecycle and renders a one-page CV tailored to a specific offer from existing CV data, without scraping, network access, or its own AI.

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.

Enables delegating checkable subtasks such as summarization, search-and-summarize, and file downloads to a local OpenAI-compatible model, with mandatory result verification and job statistics.

Enables AI assistants to query a job-search tracker read-only for roles, due dates, individual company records, and status summaries.

Enables managing a job search through natural language: tracking applications, discovery leads, interview prep, and resume generation. Connects to Claude via MCP to read and update local Excel files and documents.

Automates job outreach by finding companies, discovering contacts, generating personalized emails with AI, and tracking campaigns.

Enables AI agents to search, rank, and explain job matches through a secure read-only interface that blocks prompt injections and unsafe content.

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

Enables Claude to record job applications in a local JSON file and then list them, change their status (applied, replied, interview, rejected, offer), and surface stale applications that need a follow-up. Requires no database or account, and validates every input so saves stay clean.

organize job-hunting campaigns

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 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.

Searches job listings from Taiwanese job boards (104 and Yourator) and returns normalized results.

Enables AI assistants to query, filter, and update job application records, and to analyze skill demand across postings.

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.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables AI assistants to search Naukri.com for remote jobs and side gigs, score and rank matches against the user's resume, pull full job details, and draft outreach or apply only to jobs the user approves.

Searches LinkedIn for job posts, filters out non-vacancies and out-of-market roles, and provides a local dashboard to triage and rate the remaining openings.

Enables any MCP-capable AI app to act as a personal job-search assistant by storing resumes and job postings, matching skills, tracking applications, and analyzing market skill demand.