"MCP servers with SSE endpoints" matching MCP servers:

An MCP server that provides browser automation capabilities via Playwright using Server-Sent Events (SSE). It enables clients to perform web operations and scraping through a containerized Docker environment.

A service that provides Playwright browser automation functionality through Model Context Protocol (MCP), allowing clients to use Playwright features via SSE connections.

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.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

Tavily MCP Server implementation that uses fastmcp and supports both sse and stdio transports. It also supports more up to date functionalities of Tavily.

Enables web search capabilities through the Tavily API, allowing users to search the internet for information using natural language queries. Serves as a demonstration and educational project for building MCP servers with external API integrations.

An MCP server for managing RoxyBrowser browser instances and obtaining CDP endpoints for automation. Supports workspace management, proxy configuration, and account management.

A workspace of six MCP servers—grounded-cv (hybrid RAG with citations), repo-intel (GitHub repo intelligence), web-research (safe web search/extraction), ats-jobs (unified ATS job boards), outcome-ledger (durable task ledger), and coding-workflows (code review & planning)—purpose-built for agentic hiring evaluations.

A Model Context Protocol server that enables LLM clients like VSCode, Copilot, and Claude Desktop to search the web using Google Programmable Search Engine API.

AI-driven browser automation server that implements the Model Context Protocol to enable natural language control of web browsers for tasks like navigation, form filling, and visual interaction.

Facilitates browser automation with custom capabilities and agent-based interactions, integrated through the browser-use library.

Enables privacy-focused web search via SearXNG for MCP clients, allowing users to perform searches with customizable parameters through natural language.

Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.

An MCP server that enables AI assistants to control a web browser through natural language commands, allowing them to navigate websites and extract information via SSE transport.

Enables AI agents to automate web browsers using local Ollama models via the Model Context Protocol, supporting tasks like web search, data extraction, and e-commerce analysis through natural language commands.

A FastMCP server that enables browser automation through natural language commands, allowing Language Models to browse the web, fill out forms, click buttons, and perform other web-based tasks via a simple API.

Captures browser console logs via Chrome DevTools Protocol and exposes them to MCP clients over SSE, enabling log retrieval with the getConsoleLogs tool.

A server that provides a website fetching tool via SSE transport, allowing users to retrieve content from specified URLs.

A tool that enables automated browser control using Pyppeteer within the MCP framework, allowing navigation, screenshot capture, and element interaction with websites.

Bridges Ollama's capabilities with MCP-compatible clients, enabling web search and content fetching to provide real-time information and reduce hallucinations.