MCP_Server
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The Model Context Provider (MCP) Server is a lightweight and efficient system designed to manage contextual data for AI models.
The Model Context Provider (MCP) Server is a robust solution for managing and retrieving contextual data essential for AI models. It enhances the intelligence and responsiveness of AI-driven systems by providing relevant context based on user queries. The server supports structured data management, allowing for the addition, updating, and retrieval of context data. It employs a keyword-based search algorithm to match queries with the most relevant contexts, ensuring that AI applications can access the necessary information to function effectively. The MCP Server also supports JSON-based storage and can dynamically load context from external JSON files, making it flexible and adaptable to various use cases. Additionally, it offers debugging support with detailed logs to facilitate query processing and troubleshooting.
Features
- Context Management: Add, update, and retrieve structured context data.
- Query-Based Context Matching: Identify relevant contexts using a keyword-based search algorithm.
- JSON-Based Storage: Handles structured AI context data.
- File-Based Context Loading: Load context dynamically from external JSON files.
- Debugging Support: Provides detailed debug logs for query processing.
