"How to create charts from data" matching MCP servers:

Real-time Korean web data for AI assistants — Naver Place reviews, Melon charts, Daangn/Bunjang marketplace, Naver News, Musinsa fashion rankings. 7 tools powered by Apify actors.

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.

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.

Web tools for AI agents. Search the web for full page content, fetch URLs as clean markdown including PDFs, extract structured data from a page with a prompt, and run multi-source deep research that returns a cited report.

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

SocialCrawl provides the "best" quality public web data on the internet. Access 65+ real-time social media, e-commerce and public web data from a single API with a single schema.

An MCP server that runs Apify scraping actors with quality-gated validation, scoring, and retries, returning embedding-ready chunks for AI agents.

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

Enables LLM agents to retrieve live, accurately labeled data from DNS (dns-shop.ru) — city-specific pricing, product search with filters, ratings, reviews, store stock, and price history — while avoiding common data misinterpretations.

An APAC-native web scraping API for AI agents that provides tools for scraping, crawling, searching, and extracting structured data from websites, directly usable from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

An MCP server that uses Playwright to browse Israeli weather forecasts from weather2day.co.il, allowing LLMs to control a browser to fetch real-time weather data.

Enables AI assistants to crawl websites, export crawl data, and manage crawl storage using Screaming Frog SEO Spider through the MCP protocol.

Turns any web page into structured data without an LLM or API key: reads the JSON-LD, microdata, RDFa, OpenGraph and other data a page declares, with where each value came from, and returns clean markdown or extractors learnt from examples. Obeys robots.txt.

Provides financial data for Indian listed companies from screener.in, enabling users to search companies and fetch financial statements, ratios, and peer comparisons.

MCP server for Screaming Frog SEO Spider headless crawls without GUI. 8 tools for crawling sites, exporting data, and managing crawl storage. Cross-platform (Mac + Windows). Forked from bzsasson/screaming-frog-mcp with 6 critical bug fixes.

An MCP server that bridges LLMs with dynamic real-world data by leveraging Chrome DevTools Protocol to intercept and reconstruct network traffic, enabling AI agents to extract high-quality structured data from complex web environments.

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.

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.

MCP server providing free, IP-direct tools for web search, crawling, anti-detect browsing, and structured data from Wikipedia, Wikidata, GitHub, and YouTube.

Enables driving the Screaming Frog SEO Spider from any MCP client to perform headless crawls, get a prioritized issue register, analyze crawl data, and generate shareable reports, all without the GUI and on the free tier.