{"repo":"antl3x/ToolRAG","free":true,"listed":false,"github":"https://github.com/antl3x/ToolRAG","clone":"git clone https://github.com/antl3x/ToolRAG.git","description":"Unlimited LLM tools, zero context penalties — ToolRAG serves exactly the LLM tools your user-query demands.","language":"TypeScript","stars":33,"topics":["anthropic","function-calling","llm","llm-tool-call","llm-tools","mcp","mcp-server","mcp-servers","openai"],"license":"Apache-2.0","category":"mcp-servers","readme_excerpt":"ToolRAG Infinity LLM tools, zero context conntraints Context-aware tool retrieval for large language models. Introduction ToolRAG provides a seamless solution for using an unlimited number of function definitions with Large Language Models (LLMs), without worrying about context window limitations, costs, or performance degradation. 🌟 Key Features - Unlimited Tool Definitions : Say goodbye to context window constraints. ToolRAG dynamically selects only the most relevant tools for each query. - Semantic Tool Search : Uses vector embeddings to find the most contextually relevant tools for a given user query. - Cost Optimization : Reduces token usage by only including the most relevant function definitions. - Performance Improvement : Prevents performance degradation that occurs when overwhelming LLMs with too many function definitions. - MCP Integration : Works with any Model Context Protocol (MCP) compliant servers, enabling access to a wide ecosystem of tools. - OpenAI Compatible : Format tools as OpenAI function definitions for seamless integration. 🔍 How It Works 1. Tool Registration : ToolRAG connects to MCP servers and registers available tools. 2. Embedding Generation : Tool descriptions and parameters are embedded using vector embeddings (OpenAI or Google). 3. Query Analysis : When a user query comes in, ToolRAG finds the most relevant tools via semantic search. 4. Tool Execution : Execute selected tools against the appropriate MCP servers. Installation 🚀 Quick Start ","default_branch":null,"files":null,"tree":[],"storefront":"/r/antl3x","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/antl3x/ToolRAG/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}