"JCB" matching MCP servers:

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 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.

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

Enables MCP-compatible clients to manage cron-job.org cron jobs and folders via natural language, including creating, inspecting, updating, and deleting jobs, and reading execution history.

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.

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

organize job-hunting campaigns

Enables searching for AI/ML internships and entry-level positions across multiple job sites including LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Monster. Automatically filters for Python proficiency and relevant AI/ML skills while providing structured job data with application URLs and detailed requirements.

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.

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.

Provides a local, append-only SQLite tracker for a disciplined job search, exposing narrow tools that move roles through a found-to-offer state machine while recording events, verification evidence, application confirmations and daily reports. It also lets an agent record drops, queue roles, and gate submissions and consent actions behind explicit approval hooks.

Enables Claude to read and update the local job-search tracker, adding postings from screenshots, pasted text or links, drafting application emails, syncing Gmail to log sent applications and replies, and answering questions about what's due or which jobs match a criteria. Every change is validated and appears live on the dashboard with a timeline entry.

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 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

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.