"Connecting Alpaca to Brokerages, News Sites, and Spark Cluster for Workflow Rebalancing" matching MCP servers:

Fetches news from Telegram and RSS sources and serves them to LLM agents via MCP.

A Model Control Protocol server that provides news scraping capabilities for Khaleej Times, allowing users to fetch headlines and full article content programmatically.

Enables querying and aggregating Chinese and international news along with multi-platform trending topics, featuring deduplication, event clustering, and article extraction for AI clients.

This server enables users to perform Google News searches with automatic categorization and multi-language support via SerpAPI integration.

Search, trending, topics, and local news all in one MCP server. Article previews, deduplication, source filtering, and 40+ languages built in.

Fetches Danish news from DR's RSS feeds, including national, topical, and regional news, without any API key.

Enables global news retrieval across multiple countries and categories (world, country, technology, science) via RSS feeds, exposing reusable MCP tools for fetching and searching news articles with no API keys required.

An MCP server that enables AI agents to download n8n workflows from URLs.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

Converts WeChat Official Account articles to clean Markdown with locally downloaded images, supporting single and batch operations via MCP tools.

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.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

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.

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

MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.