NCP
Unifies multiple Model Context Protocol (MCP) servers into a single intelligent hub, simplifying tool discovery and management for AI assistants.
About
The Natural Context Provider (NCP) addresses the challenge of AI assistants becoming overwhelmed and inefficient when connected to a large number of Model Context Protocol (MCP) servers. By transforming N scattered MCP servers into one intelligent orchestrator, NCP allows AI to perceive a few unified tools instead of dozens of complex ones. This approach drastically reduces token consumption for tool schemas, improves AI's decision-making speed and accuracy, and prevents context exhaustion, leading to more focused, efficient, and cost-effective AI interactions. NCP handles the behind-the-scenes routing, discovery, and execution, ensuring AI always finds and utilizes the most appropriate tools for any given task.
Key Features
- Intelligent orchestration and routing across multiple MCP servers
- Semantic tool discovery using natural language queries
- Significant token savings by presenting a unified tool interface to AI (up to 97% reduction)
- Project-level and multi-profile configuration for flexible MCP management
- Smart health monitoring to detect and route around broken MCPs
- 7 GitHub stars
Use Cases
- Streamlining AI agent interaction with a large and diverse ecosystem of external tools
- Reducing AI operational costs and improving response times by minimizing token usage and decision latency
- Centralizing and simplifying the management and discovery of Model Context Protocol (MCP) servers for AI assistants
