"How to handle REST APIs" 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.

Enables Claude to perform real-time web searches and fetch web page content via MCP, using OpenAI-compatible APIs with optional Tavily or Firecrawl engines.

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

Enables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.

Checks username availability and retrieves account information across major social media platforms including YouTube, TikTok, Threads, X (Twitter), and Instagram, perfect for brand name qualification and competitive research.

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

A high-performance browser automation MCP server that provides AI agents with a fast, persistent Chromium instance via Playwright. It features reference-based element interaction, snapshot diffing, and manual handoff capabilities to handle complex tasks like CAPTCHAs.

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

REST API and MCP server for AI agents to extract structured LinkedIn profile data.

Enables MCP clients to look up public Instagram profiles by handle and page through their public post feeds, returning structured JSON data such as follower counts, bios, and engagement metrics.

Enables MCP clients to query public Facebook pages and profiles by handle, retrieving like counts, contact details, owner info, and recent posts with reactions, comments, and shares as structured JSON.

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 performing web searches and fetching web page content via Ollama's hosted APIs, providing search results and raw page data.

22 MCP tools for AI agents: crypto prices and trading signals (53 coins), stock prices and company financials, forex rates and conversion, and web scraping with AI summaries. All powered by x402 USDC micropayments on Base. $0.01-$0.25 per request.

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.

Enables efficient extraction of specific data from JSON APIs using JSONPath patterns, reducing token usage by up to 99% compared to fetching entire responses. Supports single and batch operations for both JSON extraction and raw text retrieval from URLs.

MCP server that extracts structured JSON from public URLs for AI agents using schemas like product, article, and company.

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

An MCP server that enables AI assistants to make HTTP requests and download files using curl, allowing them to interact with web APIs and content.