"How to Create Looker Dashboards" matching MCP servers:

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.

Allows AI agents to run, inspect, and create Scrapeer visual web-scraping flows, bridging human-designed browser automation with agent-driven execution.

Web search, crawling and ranking evaluation on your own YaCy peer: no API key, no central service. Results carry author-signature verdicts and declared tags.

Enables users to look up any company's Google advertising by domain or verified advertiser name, returning one row per ad with its format, first and last shown dates, creative link, and Transparency Center permalink. Also returns a per-company summary stating whether the advertiser runs Google ads, roughly how many, and in which formats, with unfiltered by region, format, recency, or ad count.

Offline-first MCP server for TwitterAPI.io docs (endpoints, pages, blogs) with fast fuzzy search.

Browser-based research MCP server that drives a real Chromium browser via patched Playwright to access JavaScript-rendered content, dynamic tables, and login-walled dashboards. It provides tools for visiting URLs to extract DOM text and screenshots, and for performing structured data extraction using Anthropic Claude Sonnet.

A basic MCP server setup guide demonstrating how to configure and run Python-based MCP servers with integration examples for Bright Data web scraping and Apify Actors for product data collection.

Enables any MCP client to run keyless multi-engine web searches with RRF fusion, fetch pages and documents as Markdown, and full-text search a local SQLite index. It keeps queries and cached content on the user's machine, degrading gracefully across engine tiers when providers are blocked or rate-limited.

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.

MCP server for fetching daily hot lists from 30+ sources with built-in caching and batch requests.

Enables AI agents and compatible MCP clients to fetch, search, and download web content—including .onion services—anonymously through the Tor network, using a fresh circuit per call and retrying when exit nodes are blocked.

Enables AI assistants to check how discoverable a website is to AI search engines and assistants by inspecting signals like crawler access, llms.txt, structured data, and on-page metadata, and returning a 0-100 visibility score.

Enables AI assistants and agents to search Taiwan job boards (104 人力銀行, Yourator, and foreign companies' Greenhouse/Lever career boards) for postings, company profiles, and salary statistics. Areas and job categories are given as plain Chinese names, with no account or API key required.

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 for the Internet Archive's Wayback Machine. Search archived snapshots, extract page text from a specific date, track how a site has changed over time, check if broken links are recoverable, and perform research across Internet Archive collections.

Real-time web intelligence with freshness timestamps. Every extraction returns a dated envelope so AI agents know exactly how old the data is. Covers GitHub, HN, Scholar, arXiv, YC, jobs, finance, and package trends.

Provides Baidu hot search and Bilibili trending video data for Claude and Cherry Studio, supporting retrieval, search, and cache management.

Enables an LLM to control a separate Chrome session on Avito for searching and parsing listings, reading account and Pro dashboards/statistics, switching profiles, and editing forms. Requires explicit confirmation for irreversible actions.

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.

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