"Yahoo Finance MCP (Model Context Protocol) Server" matching MCP servers:

Unofficial MCP server for Yahoo! Transit that provides Japanese train route search (including last/first train), real-time service disruption info, and station timetables as MCP tools.

Provides live web and document intelligence, including search, company news, scraping, crawling, structured extraction, document parsing, brand intelligence, screenshots, website monitoring, and batch jobs.

Gaia Protocol—a planetary DAO for global resource management using quantum-entangled ledgers and algorithmic governance.

Enables financial research and analysis through AI agents that combine web search, content crawling, entity extraction, and deep research workflows. Supports extracting stock/fund entities with security codes and conducting structured financial investigations.

Provides tools to list and read curated finance & markets feeds, and fetch any RSS/Atom/RDF feed by URL. Enables AI agents to query financial news and market data through natural language or direct tool calls.

Local-first documentation for AI agents

Returns verified financial data (SEC EDGAR & FRED) with machine-readable citations. Guaranteed zero hallucinations for AI agents.

An MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.

Crawls Korean stock market data from Naver Finance, providing real-time information on top searched stocks and detailed stock information by stock code.

Enables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

Enables MCP clients to look up domains, URLs, IPs/ASNs, email addresses, phone numbers, crypto wallets, and business records; run autonomous investigations; collect crawl artifacts; and perform evidence-backed scam checks with traceable provenance.

Provides real-time stock price data from global markets, including the US, China, India, and Europe, without requiring API keys. It enables AI systems to retrieve financial information from trusted public sources such as NASDAQ, HKEX, and Morningstar.

Fetches and caches public site pages from llms.txt and returns structured answers with source URLs, enabling verification of claims against live public content.

A read-only MCP server that gives AI agents the web as compact, ranked, verified evidence — no API keys, no cloud retrieval, all models local.

Classifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.

Bintu fetches a public webpage through MCP and returns cleaned text or chunks for AI-agent workflows. It is designed to reduce page clutter while preserving the source content needed for context.

Transforms social media links (TikTok, Instagram, YouTube) and videos into text context with transcription, OCR, and metadata for AI agents like Claude and Cursor.

Enables agents to fetch URL content as plain text or pretty-printed JSON, with optional pay-per-use monetization through Vybe Collect.

A Context-as-a-Service MCP server that maintains structured, graph-based context for Shopify apps by extracting and summarizing data from web sources and help centers. It enables multi-agent systems to retrieve isolated, provenance-backed context slices or starter bundles via push and pull mechanisms.

Enables web content extraction and Google Search through Google AI Studio's URL context functionality. Supports batch processing of multiple URLs and returns structured JSON output for web page text and image analysis.

A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.

Enables read-only search of the Tesco Ireland grocery catalogue via the Model Context Protocol, returning product names, brands, EUR prices, unit prices, promo labels and product URLs. Supports single or batched queries (up to 10 per call) with count/offset pagination, sequential pacing, and per-query status reporting; no login, basket or checkout.

A Model Context Protocol server that exposes Google Search as a tool via scraping, requiring no API key.

Model Context Protocol (MCP) server for web content fetching and extraction. Enables fetching webpages, extracting clean content using Trafilatura, discovering links, and batch fetching up to 10 URLs.

A Model Context Protocol server that provides web search and content fetching through DuckDuckGo, with rate limiting, error handling, and LLM-friendly output formatting.

A production-ready Model Context Protocol server that enables language models to leverage AI-powered web scraping capabilities, offering tools for transforming webpages to markdown, extracting structured data, and executing AI-powered web searches.

One MCP server providing access to 160+ live web data APIs (search, social media, e-commerce, real estate, jobs, travel, news, finance, and more) using dynamic discovery via 4 generic tools to avoid the agent's tool limit.

Enables resolving the likely employer behind Gmail, Outlook, iCloud, Yahoo, and other free-mail signups by checking public Gravatar profiles, signed GitHub commits, and LinkedIn results. It returns the person’s name, employer, employer domain, confidence score, and evidence URLs.

A Model Context Protocol server that enables AI assistants to research competitor ads, analyze advertiser profiles, and compare ad presence across 42 regions using publicly available Google Ads Transparency data.

A Model Context Protocol server that lets Claude query arbitrary webpages with token-efficient, structure-aware retrieval, reducing token costs by fetching only relevant sections.