Handles configuration through environment variables loaded from a .env file, managing API tokens and authentication details.

Implements a web API interface to access the agent's functionality, with interactive documentation available at /docs and /redoc endpoints.

References GitHub for project repository hosting, providing version control and collaboration features.

Provides external search capabilities through the search_engine tool that leverages Google for validation and complementary information.

Used as the WSGI HTTP server for production deployment, handling the scaling of worker processes for the web application.

Offers content extraction from web pages in Markdown format through the scrape_as_markdown tool for structured data processing.

Integrates with OpenAI's API for powering the agent's intelligence, requiring an API key for operation.

Supports deployment to Render cloud platform with included render.yaml file for automatic configuration and deployment options.

1. Click on "Deploy Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Agent MCP BrightData get variants for the BRCA1 gene"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.