"Building an MCP tool to connect to Upwork API and retrieve job listings" matching MCP servers:

An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.

Enables converting webpages into structured JSON using CSS-selector schemas, with anti-bot handling and support for protected pages.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.

MCP server that fetches remote or local HTML resources and converts them to Markdown, enabling AI clients to summarize or process web content.

Enables converting any webpage to clean LLM-ready markdown, with extraction, article, and news modes, using a real browser with anti-bot handling.

Enables pulling property listings, prices, and details from real-estate websites as structured JSON, with anti-bot handling and protected-page support.

Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.

Converts X (Twitter) posts into JSON, PDF, PNG, Markdown, or Slack/Discord messages using public endpoints, no API key or login required.

Enables real-time job discovery across multiple job boards and remote APIs, providing normalized and deduplicated job listings to AI agents via MCP.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Searches job listings from Taiwanese job boards (104 and Yourator) and returns normalized results.

Searches LinkedIn for job posts, filters out non-vacancies and out-of-market roles, and provides a local dashboard to triage and rate the remaining openings.

Enables searching and managing job postings across multiple job boards through a unified MCP interface, with deduplication and persistent tracking of application statuses.

Searches LinkedIn, Indeed, USAJobs, and Google Jobs from the command line, deduplicates across sources, and optionally finds hiring manager emails; also runs as an MCP server for AI agents.

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

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 AI assistants to search and retrieve real-time job listings from the Technopark job portal using Puppeteer web scraping. Users can search by role or keyword to obtain job details including company name, closing date, and posted date.

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.