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

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.

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.

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

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.

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

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

A Model Context Protocol (MCP) server for Storybook.

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.

Enables AI agents in Copilot Chat to autonomously plan, generate, and self-heal Playwright UI and API tests by connecting to a local browser runtime.

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 lets Claude query arbitrary webpages with token-efficient, structure-aware retrieval, reducing token costs by fetching only relevant sections.

chrome-debug-mcp is an asynchronous Rust-based Model Context Protocol (MCP) server that allows AI agents and Large Language Models to natively debug Chromium-based browsers via the Chrome DevTools Protocol (CDP).

A Model Context Protocol server that provides web content fetching and conversion capabilities.

Enables AI agents to browse and extract content from JavaScript-rendered web pages via the Model Context Protocol, returning plain text, HTML, or Markdown.

A Model Context Protocol server that enables AI agents to fetch live web content with JavaScript rendering, proxy rotation, and anti-bot evasion.

Enables Google search with advanced options (date, language, country, safe search) and webpage content extraction via the Model Context Protocol.

Model Context Protocol server for the Feedbagel API. Enables agents to follow RSS feeds, manage webhook subscriptions, and read entries on a user's behalf.

One click installation & Configuration，access to OpenAI's websearch functionality through the Model Context Protocol。

Enables AI agents to control web browsers through the Model Context Protocol, supporting navigation, clicking, typing, and screenshots.