"A guide to finding data in public databases" matching MCP servers:

A token-efficient MCP server for Chrome browser automation that uses direct CDP and accessibility-tree-based references for stable element selection across DOM changes.

35 public-data MCP tools with optional focused profiles for business leads, market intelligence, government records, and research/health. Includes Maps, jobs, SEC filings, grants, sanctions and more. Runs use your own Apify account and are billed there. Structured results and deterministic errors.

Enables agents to read one public X/Twitter post from a status URL without cookies, returning post text, quoted content, links, and media URLs as untrusted data.

KoliBri - the accessible Web Components library.

Enables any MCP client to drive the user's real Chrome profile through a Chrome extension bridge, with tools for navigation, accessibility snapshots, ref-based interactions, console/network reading, screenshots, tab management, and restricted script evaluation.

MCP server for structured web data access, enabling local-market research and lead-list enrichment by returning business names, locations, ratings, and review signals from concrete queries.

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 MCP clients like Claude and Cursor to query public Instagram data read-only — profiles, posts, reels, stories, highlights, comments, likers, followers, hashtags, places, audio and search — over local stdio without writing files or storing anything.

Free web search for your AI using public SearXNG instances, with parallel multi-server requests and throttling.

An MCP server that enables AI assistants to search and retrieve Beninese government services, procedures, and requirements from service-public.bj with real-time data and smart provider routing.

Reads public Telegram channel pages and exposes them as MCP tools over Streamable HTTP/JSON-RPC, enabling retrieval of channel info, latest posts, and search without Telegram API credentials.

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

Enables browsing, searching, and extracting public Reddit posts and comments without API keys, while generating structured YouTube video ideas from community pain points.

MCP server providing web search, fetch, and crawl capabilities for AI agents via the spider.cloud API, with caching, cost controls, and robust error handling.

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 AI agents to retrieve X/Twitter profiles and tweets, YouTube video and channel data, and TikTok profile and video stats on a pay-per-result basis without requiring login or platform API keys.

Provides structured Airbnb search results, listing details, and calendar availability through an MCP server.

Enables AI agents to query structured data refined from unstructured web sources, including developer breaking changes, B2B pricing matrices, regulatory compliance, semantic search, and on-demand URL refinement.

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

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