"Twitter MCP (Model Context Protocol) Server" matching MCP servers:

MCP server for automating Twitter actions like tweeting, liking, retweeting, and replying via browser automation, supporting multiple accounts without API keys.

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

Enables Twitter automation including posting tweets, replying to tweets, and searching for tweets with structured results using browser automation through Browserbase and Stagehand.

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

Enables Claude.ai to interact with Twitter/X by using browser automation to perform actions like posting, replying, and searching through a logged-in Chrome session. It provides a cost-effective alternative to the official API by bridging the Model Context Protocol with a real browser instance.

Enables AI agents to interact with Twitter/X through Playwright browser automation without requiring an official API key. It provides tools for posting content, searching tweets, reading feeds, and managing social interactions like follows and likes.

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

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.

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.

Remote MCP / x402 / USDC / Base / Solana / OpenAPI / Google ADK / Gemini Xcatcher is an agent-first Remote MCP server (Streamable HTTP) for high-throughput crawling of fresh/latest posts across large sets of X (Twitter) usernames. It supports x402 pay-as-you-go top-ups using USDC on Base and Solana.

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 content fetching and conversion capabilities.

Integrates with SearXNG metasearch engine to provide powerful web search capabilities across multiple search engines with filtering options for categories, languages, time ranges, and safe search levels. Enables comprehensive web searches, autocomplete suggestions, and search engine configuration access through MCP-compatible applications.

MCP server for browser automation with anti-detection. Scout pages, find elements, interact with websites, and monitor network traffic from any AI client that supports the Model Context Protocol.

MCP server for Ozon marketplace that enables AI assistants to search products, get detailed information, prices, and delivery info from Ozon.ru.

A Model Context Protocol server that executes headless web scraping and ephemeral secret vaults, settling micro-transactions natively on Base Mainnet via the x402 protocol.

Adds fdl-mcp-server — published on npm at https://www.npmjs.com/package/fdl-mcp-server Five tools any MCP client can call to analyze small business websites: * audit_website — deterministic 5-pillar scorecard (Performance, SEO, Mobile, Security, AEO) with a 0–100 score and specific findings * compare_websites — side-by-side scorecard of two sites with a winner * ai_visibility_check —

MCP server for web scraping — extract clean markdown, links, and metadata from any URL. Free Firecrawl alternative.