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MCP Server Browserbase

An SSE proxy server based on Node.js that enables real-time response stream transmission of models such as GPT-4 via the Browserbase API
2 points
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What is the Browserbase SSE Server?

The Browserbase SSE Server is a real-time communication tool that directly pushes responses from models such as GPT-4 to front-end applications via Server-Sent Events (SSE). It is particularly suitable for projects like chatbots and embedded dialogue systems that require immediate feedback.

How to use the Browserbase SSE Server?

Simply start the server and ensure you have your API key and project ID ready to start sending requests. The front end can connect to the server via a simple URL to get real-time responses.

Use cases

Suitable for online customer service, intelligent assistants, Q&A systems, and any application scenarios that require dynamic content updates.

Main features

Real-time streaming responsePush text fragments generated by the model in real-time via the SSE protocol without polling requests.
Parameter flexibilitySupport passing multiple parameters via the URL, such as prompt, API key, and project ID.
Cross-platform compatibilityCan be easily integrated into web front ends or other environments that support SSE.

Advantages and limitations

Advantages
Provide a real-time interactive experience and improve user experience.
Reduce the latency between the client and the server.
Easy to deploy and developer-friendly.
Limitations
Only modern browsers support SSE.
Require a stable network environment to maintain the connection.
May increase server load, especially under high concurrency.

How to use

Install dependencies
Run `npm install` to install the required Node.js modules.
Start the server
Use `npm start` to start the server.
Front-end connection
Create an EventSource instance on the front-end page and listen for messages.

Usage examples

Case 1: Basic conversationThe user sends a simple greeting to the server, and the server returns a corresponding reply.
Case 2: Complex taskThe user requests the model to generate a descriptive text.

Frequently Asked Questions

How can I get the Browserbase API key?
What if the server doesn't respond?
Can I customize the model?

Related resources

Browserbase official documentation
Learn more about Browserbase services and APIs.
GitHub repository
View the project's source code and contribution guidelines.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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