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

Enables Claude to collect job postings from configured company career sites and recruitment platforms, pre-filter them by keywords and experience level, retrieve detailed qualifications, and list the companies available for collection.

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 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.

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

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.

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 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.

Enables Claude to search public DOU and Djinni job postings concurrently, score each result against a stored profile with explainable skill, role and seniority matching, and track applications through a SQLite-backed pipeline. Also supports saving jobs, updating statuses, and generating tailored cover letters and talking points.

organize job-hunting campaigns

Exposes the entire job-search workflow as 13 chat-driven tools, letting users refresh a ranked feed of live postings from employers' public hiring APIs, view and score job descriptions, tailor and render truthful one-page LaTeX resumes, review skill gaps and screening answers, and log applications. It keeps a human in the loop, since nothing is ever submitted automatically.

Enables users to search job applications, check reply status, find stale leads, and view pipeline statistics from their application tracker through MCP clients.

Enables AI agents to discover postings from watched company boards ranked by keyword fit, tailor and fact-check resumes against a source-cited profile, render ATS-readable PDFs, submit applications through the user's own browser, and track replies and follow-ups. All ranking, claim checking and email classification run as plain code, so LLM tokens are spent only on writing.

Enables parallel job discovery and form-filling across ATS platforms such as Greenhouse, Lever, Ashby, SmartRecruiters and Workday, defaulting to dry runs and stopping at approval gates before any irreversible step. It supports policy-based filtering, deduplication, and local-first LLM routing so routine fields and generated prose stay on the user's machine, escalating only when necessary.

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.

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.

Exposes tools that let an agent read a CV, search the Arbeitnow job board for Berlin AI/ML working student roles, score each vacancy against the CV, draft cover letters whose every claim cites CV facts, and queue them for human approval. The same tools can be driven from other MCP clients such as Claude Desktop, with scoring done deterministically in code and limits enforced outside the prompt.

Smart Job Apply MCP is an open-source Python MCP server that helps AI agents automate job hunting using browser automation and Playwright. It supports job discovery across 8 job portals, job relevance scoring, intelligent application form autofill, resume uploads, duplicate application prevention, and application tracking. It can also assist with recruiter outreach through Gmail MCP integration an

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

MCP server that automates applying to jobs on Lever and Greenhouse ATS systems. It fills forms from a candidate profile, verifies fields, and supports dry-run or live submission, with optional chat integration via Hermes.

Enables checking CRM contacts to learn their current employer, title, start month, role history, and whether they left, landed elsewhere, or were promoted, returning one flat row per person with match method, source, and source age. It accepts single contacts or bulk lists, works with your own search, enrichment, and email-verification keys, and runs on Apify.

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

Enables an LLM client to read a structured CV resource and send tailored application emails to recruiters via SMTP.

Enables controlling CLO3D from any MCP client to inspect projects, create and edit patterns, manage fabrics and colorways, run simulations, and export models through chat.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.

A local-first MCP server that lets any MCP agent drive a job-search cockpit: scan for roles, inspect and click/type in your real logged-in Chrome tabs via a built-in extension, capture postings, gate eligibility, pre-fill applications without ever submitting, record and replay browser workflows, and store local memory facts — all over loopback stdio with no API keys or cloud.

Enables creating editable MathType 7 equations in Microsoft Word and PowerPoint with native numbering and cross-references.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.

Helps users decide what to eat by randomly selecting meals from a database of 100+ options or a custom list using an interactive spinning wheel widget. It supports cuisine filtering and provides an engaging visual interface to resolve mealtime indecision.