"JobSpy job search tool or library" matching MCP servers:

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 search for jobs across multiple platforms (Indeed, LinkedIn, Glassdoor, etc.) using the JobSpy tool, with filtering and structured output.

Enables AI assistants to search and filter job listings across multiple platforms like Indeed, LinkedIn, and Glassdoor, returning structured results for easy processing.

Enables searching and analyzing real H-1B visa sponsorship data from the U.S. Department of Labor, including job titles, salaries, locations, and company statistics.

Enables searching real job listings from multiple job boards (Indeed, LinkedIn, Glassdoor, Google Jobs, etc.) through a single MCP tool, designed for use as a custom connector in Claude Cowork.

Enables trades and field service work to be tracked per job: logging labor hours at worker rates and materials used, keeping running totals in integer cents per currency, and moving each job through a status machine from open to invoiced or archived. It also produces daily or weekly summaries of hours and value, and renders a printable card with a signature line for client sign-off.

MCP server for searching and retrieving trading knowledge from a centralized SQLite library of book summaries, strategies, and document chunks.

A job-search MCP server that ranks roles, drafts cover letters, and rehearses Q&A answers using a candidate profile, with live listings from five public sources.

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

Provides a Google search tool via the Serper API, returning structured results and a summary answer for LLMs like Claude.

MCP server giving AI models direct access to 30M+ resources at ETH Library Zurich – books, maps, images, archival material, and linked-data person records.

Enables Claude clients to access notes, guidance, projects, and search from a knowledge library, with explicit-save write tools for creating, updating, and appending content only when the user approves.

Enables Claude clients to access a private local book library, allowing users to list books, search content, and retrieve metadata, chapter summaries, action items, personal notes, and infographic text through MCP tools.

Enables you to manage your personal Spotify library from Claude or a CLI, including organizing playlists, merging and deleting playlists, saving tracks, searching with artist verification, and querying top tracks, artists, and recently played items.

MCP server that aggregates and deduplicates job listings from multiple public sources, ranks them against a user's resume, and exposes tools for searching, viewing details, explaining fit, and tracking applications.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

Provides instant, offline access to a curated intelligence database of 25 Solana/web3 earning platforms, with tools to search topics, retrieve detailed evidence notes, and view verdict, payout rail, and KYC gate statistics.

MCP server that exposes job search data from multiple boards, enabling clients to query and manage job listings via natural language.

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.

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.