"IBM MCP Context Forge - Model Context Protocol Framework" matching MCP servers:

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

A server that enables language models to perform web searches through SearXNG using the Model Context Protocol standard.

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.

Enables a person to point their own AI agent at specific on-screen app elements over MCP, letting the agent read the underlying data without sharing the screen or receiving visible content.

Enables AI assistants to inspect React component trees, props, state, and source locations in Chrome, facilitating UI debugging and analysis.

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.

AIFeed Open Standard. AIFeed Protocol to the building tools section. AIFeed enables web publishers to provide verified, token-efficient content feeds for AI agents.

Enables users to hunt public, ToS-safe freelance job boards, rank listings by capability match and money heat, and drive the resulting leads through Telegram cards, proposals, and follow-ups. It also tracks each lead's pipeline state from new to paid, with rituals, red-flag checks, and board-level ROI advice exposed as MCP tools.

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.

Exposes runtime-local capabilities from browsers, apps, devices, and local processes to AI agents through a unified MCP bridge, enabling path-based discovery and invocation of live context.

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.

Enables AI-powered web test automation with self-healing locators and automatic GitHub checkin.

Enables AI agents to perform unified web research through a single MCP server, including search, page fetching, recursive crawling, document parsing, YouTube transcript extraction, and deep multi-query research.

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 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.

Enables AI agents to add precise, range-anchored comments to Google Docs by bridging the Model Context Protocol with browser automation.

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.

Enables AI agents to access a continuously updated list of verified free proxies and a rotating proxy server through the Model Context Protocol.

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.

Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.