Model Context Provider (MCP) Server
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…
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- 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.
To install and run the MCP Server, follow these steps:
pip install -r requirements.txt
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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