"JCB" matching MCP servers:

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.

This server enables remote job discovery, tailored CV creation, and approval-gated application lifecycle management. It prioritizes safe, factual job applications without authenticated LinkedIn scraping or silent submissions.

Enables MCP clients to submit long-running jobs that are executed safely in isolated child processes with a durable SQLite queue, configurable timeouts, retries with backoff, and backpressure.

MCP server for the Computeback agent rewards marketplace and CB Hire B2B labor marketplace. Agents browse the storefront (compute, voice, memory, storage, 25+ categories) using $NOMD tokens, and discover/accept paid B2B work (email/voice/SMS/landing-page campaigns) and/or book travel on Autonomad for $NOMD earnings on Base L2.

Build agent skills where you work — write a script, add a SKILL.md, and use it in Claude Code/codex/Cursor immediately. The same fixed entry point that runs locally deploys to production without a rewrite.

An MCP server that enables AI agents to evaluate candidate-job fit by calculating weighted match scores based on skills and requirements.

Enables multi-source tech job search and application with CV-based skill extraction, deduplication, and scoring across HireMeTech, Comeet, and AllJobs, supporting autonomous or supervised workflows.

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 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.

An MCP server that exposes job-search and application-management capabilities to compatible AI clients, enabling discovery of vacancies, drafting of tailored application materials, and coordinated human-approved submissions.

This MCP server enables asynchronous, event-driven orchestration of long-running AI coding agents, allowing a leader session to dispatch jobs that execute in the background, survive disconnects, and provide queryable status and resumability without blocking model turns.

Enables AI clients to control a job application assistant that manages resume profiles, recommends SOE-first companies, tracks applications, scans jobs, and smart-fills ATS forms in a built-in browser.

This MCP server enables job intelligence retrieval and ranking, providing tools to list jobs, fetch details, access corpus statistics, and score candidates against job descriptions using staged retrieval to optimize LLM context usage.

Exposes MCP tools (via FastMCP) to fetch and parse job postings, load a resume profile, compute a fit score, and log or track application decisions persistently.