Model Context Provider (MCP) Server
Description
# Model Context Provider (MCP) Server ## Overview The **Model Context Provider (MCP) Server** is a lightweight and efficient system designed to manage contextual data for AI models. It helps AI applications retrieve relevant context based on user queries, improving the overall…
About
# Model Context Provider (MCP) Server ## Overview The **Model Context Provider (MCP) Server** is a lightweight and efficient system designed to manage contextual data for AI models. It helps AI applications retrieve relevant context based on user queries, improving the overall intelligence and responsiveness of…
Details
- Author
- Ronak501
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- 102
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Jump to
- Add, update, and retrieve structured context data.
- Query-based context matching using keyword search.
- JSON-based storage for structured AI context.
- File-based context loading from external JSON files.
- Detailed debug logs for query processing.
Install via pip and clone the repository. Import ModelContextProvider, then use add_context to store context data with a unique ID. Query contexts using query_context with a keyword search, and feed results to the AI model via provide_model_context, which returns structured, model-ready output.
Model Context Provider (MCP) Server
Overview
The Model Context Provider (MCP) Server is a lightweight and efficient system designed to manage contextual data for AI models. It helps AI applications retrieve relevant context based on user queries, improving the overall intelligence and responsiveness of AI-driven systems.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.Installation
To install and run the MCP Server, follow these steps:```sh
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