nuria-mcp

Nuria-MCP implements a schema-based function calling mechanism that allows developers to define and invoke functions across multiple AI model providers seamlessly. This is achieved through a unified protocol that abstracts the underlying model interactions, enabling easy integration with various APIs like OpenAI and Anthropic. The architecture is designed to facilitate extensibility, allowing new providers to be added with minimal configuration, which distinguishes it from other MCP implementations that may require more rigid setups.

Nuria-MCP provides robust context management capabilities that maintain state across multiple interactions with AI models. This is achieved through a centralized context store that tracks user sessions and conversation history, allowing for more coherent and contextually aware responses. The architecture leverages a lightweight in-memory store for fast access, which enhances performance compared to other systems that may rely on slower database queries.

Nuria-MCP supports dynamic API orchestration, allowing developers to create multi-step workflows that can call various AI models in sequence based on user input or application logic. This capability is implemented using a flow-based programming approach, where each step can be configured to trigger subsequent actions based on the results of previous calls. This design allows for greater flexibility and adaptability in building complex interactions compared to more linear API calling methods.