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Developed by

Jiří Spilka

A model context protocol (MCP) client that connects to any MCP server using Server-Sent Events (SSE) and displays the conversation in a chat-like UI. It is a standalone Actor server designed for testing MCP servers over SSE.

4.8 (5)

Pricing

Pay per event

Total users

365

Monthly users

209

Runs succeeded

Last modified

15 days ago

Open source

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Actors MCP Server

apify/actors-mcp-server

Connect Apify Actors to AI applications (AI Agents) using Anthropic's Model Context Protocol (MCP). This MCP server provides integration of any Apify Actor through the MCP framework.

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Playwright MCP

jiri.spilka/playwright-mcp

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright

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Mastra.ai MCP Agent

jakub.kopecky/actor-mastra-mcp-agent

🤖 AI agent using mastra.ai with Apify MCP Server. 🚀 Runs queries via OpenAI models, taps Apify Actors for web data, and outputs to datasets. 🛠️

Jakub Kopecký

Browserbase MCP

jakub.kopecky/browserbase-mcp

A Model Context Protocol (MCP) server that provides browser automation capabilities using Browserbase.

Jakub Kopecký

RAG Web Browser

apify/rag-web-browser

Web browser for OpenAI Assistants, RAG pipelines, or AI agents, similar to a web browser in ChatGPT. It queries Google Search, scrapes the top N pages, and returns their content as Markdown for further processing by an LLM. It can also scrape individual URLs. Supports Model Context Protocol (MCP).

Apify

2.5k

4.4

DeepL Translate Scraper 🌐🔤

scrapestorm/deepl-translate-scraper

Gather DeepL translation results by keywords 🌐. Access detailed translations with original text, translated text, language pairs 🔄, timestamps ⏰, and more. Ideal for language learning, research, and multilingual projects 📊. Perfect for translators, researchers, and language enthusiasts.

Storm_Scraper

5.0

LLM Dataset Processor

dusan.vystrcil/llm-dataset-processor

Allows you to process output of other actors or stored dataset with single LLM prompt. It's useful if you need to enrich data, summarize content, extract specific information, or manipulate data in a structured way using AI.

Dušan Vystrčil

ArXiv MCP server

jakub.kopecky/arxiv-mcp-server

The ArXiv MCP server provides a bridge between AI assistants and arXiv's research repository through the Model Context Protocol (MCP). It allows AI models to search for papers and access their content in a programmatic way.

Jakub Kopecký