"Assistance with filling in information for a job application" matching MCP servers:

Enables Claude Web users to manage their job application workflow by storing profile and resume data, analyzing job descriptions, preparing applications, and tracking progress — all with manual submission and no platform automation.

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

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.

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

Exposes the agent's tools over the Model Context Protocol, enabling LLMs to track applications, generate cover letters, and process emails.

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

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.

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 AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

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.

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

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables automated job searching from multiple boards, filtering matches against saved criteria, deduplicating seen postings, and tracking application statuses. Runs locally and integrates with Claude Desktop for natural-language queries and updates.

Enables secure execution of Python code, SQL queries, and metric fetching through MCP with ephemeral Docker sandboxing.

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 an AI assistant to search open roles at a configured short list of companies through official public Greenhouse, Lever, and Ashby job board APIs, filter matches by career lane, retrieve full job descriptions, and save selected roles to a Notion tracker.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

An MCP server that retrieves resume/experience evidence relevant to a job description via vector RAG, and tracks fit-analysis results in a configurable tracking store (Notion or SQLite), with tools like match_job, push_to_tracker, and list_applications.

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

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.

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

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

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

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.