NexusMind
Performs intelligent scientific reasoning using graph structures and the Model Context Protocol.
About
NexusMind is a next-generation AI reasoning framework that leverages graph structures to transform how AI systems approach scientific research. Implementing the Model Context Protocol (MCP), it integrates seamlessly with AI applications like Claude Desktop. It processes complex scientific queries using graph-based reasoning, incorporating dynamic confidence scoring with multi-dimensional evaluations. Built with modern Python and FastAPI, NexusMind offers high performance, easy Docker deployment, and a modular design for extensibility and customization.
Key Features
- Graph Knowledge Representation using NetworkX
- High-Performance FastAPI Backend
- 8-Stage Reasoning Pipeline
- Dynamic Confidence Vectors
- MCP Server for Claude Desktop Integration
- 0 GitHub stars
Use Cases
- Integrating AI with scientific reasoning processes
- Processing complex scientific queries
- Improving confidence scoring in AI reasoning
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