Modular
Proxies multiple Model Context Protocol (MCP) servers, grouping tool collections and loading schemas on-demand to optimize LLM context usage.
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Modular acts as an intelligent proxy for Model Context Protocol (MCP) servers, addressing the challenge of managing large tool collections for Language Model (LLM) applications. It efficiently groups tools from various upstream MCP servers, exposing them through a single endpoint. By providing group descriptions to the LLM and loading detailed tool schemas only when requested, Modular drastically reduces context overload and streamlines the LLM's tool discovery and execution process. This architecture ensures LLMs can access a vast array of functionalities without being overwhelmed by unnecessary information.
Características Principales
- Context-efficient tool discovery and execution for LLMs
- Scalable management of multiple upstream MCP servers
- Flexible addition and removal of tool groups
- Unified proxy architecture providing a single MCP endpoint
- On-demand loading of detailed tool schemas per group
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Casos de Uso
- Managing extensive collections of MCP tools for LLMs
- Enabling LLMs to efficiently discover and use tools without context overload
- Orchestrating tools from multiple upstream MCP servers through a single interface
