"MiniMax MCP (Model Context Protocol) GitHub Repository" matching MCP servers:

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

MCP server enabling parallel web search and batch browsing with intelligent content understanding via MiniMax LLM.

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.

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.

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.

Enables automated GitHub login through browser automation using Playwright. Provides MCP tools for programmatic authentication to GitHub accounts with credential management.

Enables AI agents to perform web searches and extract full-text content from web pages via standard MCP tools, with fallback search and semantic reranking.

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

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.

A DOM-first, vision-second MCP server for webpage analysis, combining structural DOM extraction with MiniMax vision to provide accurate, context-rich page understanding for AI coding assistants.

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.

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.

A Model Context Protocol server that integrates with Microsoft Bing Search API, allowing AI assistants to perform web, news, and image searches.

Enables programmatic control of Safari browser on macOS for web automation, testing, and debugging via the Model Context Protocol.

Model Context Protocol server that enables Claude Desktop (or any MCP client) to fetch web content and process images appropriately.

Provides a bridge between AI assistants and SearXNG, a privacy-respecting metasearch engine, enabling web searches and engine discovery via the Model Context Protocol.