This MCP provides a straightforward Python-based implementation of a client and server communicating via SSE. It supports asynchronous query processing, environment-based configuration, and MCP platform tool integration, making it suitable for real-time data streaming and event-driven applications.
Added on:
Created by:
May 01 2025
This MCP provides a straightforward Python-based implementation of a client and server communicating via SSE. It supports asynchronous query processing, environment-based configuration, and MCP platform tool integration, making it suitable for real-time data streaming and event-driven applications.
Added on:
Created by:
May 01 2025
flyingcloud-code
Featured
What is MCP SSE Client-Server?
The MCP SSE Client-Server facilitates real-time communication between client and server using Server-Sent Events (SSE). Written in Python, it enables asynchronous handling of queries, integrating with MCP tools such as Google Search and Web Content Fetch. The setup includes a server running on port 8081 and a client that connects to this server for continuous data streaming. It supports environment variable configurations for API keys and custom URLs, with features like comprehensive logging, error handling, and OpenAI API integration. This setup is ideal for applications requiring live updates, event-driven data exchange, and scalable backend connections within the MCP platform ecosystem.
Who will use MCP SSE Client-Server?
- Developers building real-time web applications
- Teams integrating MCP platform tools
- Automation engineers
- Data streaming service providers
How to use the MCP SSE Client-Server?
- Step 1: Clone the repository from GitHub
- Step 2: Create and activate a virtual environment
- Step 3: Install dependencies using 'uv sync.'
- Step 4: Configure environment variables in the .env file
- Step 5: Run the server with 'uv run mcp-server-search.py'
- Step 6: Start the client with 'uv run mcp-client-sse.py' and specify server URL
MCP SSE Client-Server's Core Features & Benefits
The Core Features
- SSE-based communication between client and server
- Integration with MCP platform tools (google_search, get_web_content)
- Asynchronous processing with Python's asyncio
- Logging and error handling
- OpenAI API and fallback support
- Environment variable configuration
The Benefits
- Enables real-time, event-driven data streaming
- Facilitates integration with MCP tools
- Supports scalable and asynchronous operations
- Provides detailed logs for debugging
- Configurable via environment variables
MCP SSE Client-Server's Main Use Cases & Applications
- Real-time web data streaming
- Live content updates for applications
- MCP tool integrations for automated workflows
- Event-driven data processing systems
FAQs of MCP SSE Client-Server
Developer
- flyingcloud-code
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