Unified Tool Graph
Structures tool APIs from Model Context Protocol (MCP) servers into a Neo4j graph database, enabling LLMs to dynamically retrieve relevant tools.
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The Unified Tool Graph addresses the challenge of LLMs being overwhelmed by numerous APIs by organizing tools from diverse MCP servers into a centralized Neo4j graph database. This graph acts as an intelligent layer, empowering LLMs and agentic AI systems to efficiently select the most relevant tools for any task, preventing tool confusion, infinite loops, and unstructured access to APIs, ultimately streamlining intelligent agent workflows.
Características Principales
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- LLM-friendly query layer for relevant tool retrieval
- Dynamic Tool Retrieval (DTR) for minimal, accurate toolsets
- Centralized tool intelligence through a graph database
- Semantic differentiation of tools using graph relationships
- Vendor-agnostic integration of APIs from different providers
Casos de Uso
- Dynamically select the correct tools for scheduling a social media post across multiple platforms.
- Develop smart recommender agents that suggest the best-matched tools based on tags, popularity, and dependencies.
- Create custom AI assistants for enterprises that only expose internal tools, filtered by access and function.
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