Universal Mistral Adapter
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Enables Mistral AI models to interact with external tools and data sources through the Model Context Protocol (MCP).
About
This TypeScript adapter bridges Mistral AI models with multiple Model Context Protocol (MCP) servers, allowing seamless interaction with external tools and data sources. It connects to defined MCP servers, discovers available tools, dynamically registers them with Mistral models, routes tool calls, and handles execution. With robust error handling and fallback strategies, the adapter ensures reliable performance and provides a modular, extensible architecture for diverse applications.
Key Features
- Offers interactive conversation support with tool usage.
- Uses tools from multiple MCP servers simultaneously with Mistral AI models.
- Connects to any MCP server via a configuration file.
- Provides robust error handling and fallback strategies.
- 0 GitHub stars
- Supports dynamic tool discovery and registration.
Use Cases
- Allowing Mistral models to perform complex calculations using dedicated math servers.
- Enabling Mistral models to access real-time weather data from external weather services.
- Integrating Mistral models with database query services for data retrieval.
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