mcp-registry/mcp-server-rag-web-browser

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mcp-server-rag-web-browser

by apify

Local stdio-based MCP server that lets AI agents (e.g., Claude Desktop) call the Apify RAG Web Browser Actor to perform Google search, scrape pages and return cleaned content in Markdown/HTML/Text.

175
22
Specialized
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01

search

Query Google Search, scrape the top N result URLs, and return their cleaned page content in the requested format (e.g., Markdown).

Installation

1. Clone the repository
git clone https://github.com/apify/mcp-server-rag-web-browser.git && cd mcp-server-rag-web-browser
2. Install dependencies
npm install # or pnpm install / yarn install
3. Set required environment variables (create .env or export in your shell)
# Apify platform token – required if the server should call Apify Actors remotely APIFY_TOKEN=<your_apify_token> # Open-source LLM / OpenAI credentials used by the RAG pipeline OPENAI_API_KEY=<your_openai_key> # (Optional) Port on which the MCP server should listen PORT=3000
4. Build (if TypeScript)
npm run build
5. Start the MCP server
npm start # production # or, for development with auto-reload npm run dev
6. Verify it is running
curl http://localhost:3000/schema # should return the MCP tool schema

Documentation

License: Apache License 2.0
Updated 7/30/2025
mcp-server-rag-web-browser - MCP Server Registry - Augment Code