Model Context
Provides contextual information to AI models by intelligently routing queries to diverse data sources.
About
The Model Context Protocol Server is a middleware designed to enhance AI models by providing relevant contextual information from various data sources. Built with FastAPI, it intelligently analyzes incoming queries and routes them to the most appropriate data provider, whether it's a database, GraphQL endpoint, or REST API. This enables AI models, such as those integrated via Ollama, to access up-to-date and specific information, improving their responses and decision-making capabilities in a dynamic environment.
Key Features
- Support for multiple data sources (Database, GraphQL, REST)
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- Comprehensive logging and error handling
- Environment-aware configuration (Development/Production)
- Intelligent query routing based on query analysis
- Integration with Ollama models (Mistral, Qwen, Llama2)
Use Cases
- Acting as a central context layer for multiple AI services
- Providing real-time contextual data to AI models
- Building advanced AI applications that query diverse data sources
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