Model Context Server
Implements the Model Context Protocol (MCP) as a comprehensive Python backend, integrating JSON-RPC 2.0, Azure OpenAI, and Server-Sent Events for streaming responses.
Acerca de
This Python backend provides a robust implementation of the Model Context Protocol (MCP), enabling seamless communication with AI models through JSON-RPC 2.0. It features deep integration with Azure OpenAI for powerful language model interactions, alongside real-time streaming capabilities via Server-Sent Events. The server also includes extensive resource management, an extensible tool execution registry, JWT authentication, and Prometheus monitoring, making it a comprehensive solution for building AI-powered applications.
Características Principales
- Azure OpenAI and Standard OpenAI Integration
- Extensible Tool Execution and Resource Management
- 0 GitHub stars
- Complete MCP Protocol Support
- Real-time Server-Sent Events (SSE) Streaming
- JWT Authentication and Prometheus Monitoring
Casos de Uso
- Building AI-powered applications requiring structured communication with large language models (LLMs).
- Integrating Azure OpenAI services with custom backend logic and real-time data streams.
- Developing systems that require tool execution and file system resource access coordinated via an AI protocol.