Unified MCP Tool Graph: A Intelligence Layer for Dynamic Tool Retrieval
Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.
Overview
What is Unified MCP Tool Graph?
Unified MCP Tool Graph is a Neo4j-powered API intelligence layer designed to enhance the efficiency of large language models (LLMs) and agentic AI systems by providing a structured way to retrieve relevant tools from a vast array of APIs.
How to use Unified MCP Tool Graph?
To use the Unified MCP Tool Graph, clone the repository from GitHub, and follow the upcoming instructions for setting up the ingestion pipeline and querying the graph database.
Key features of Unified MCP Tool Graph?
- Centralized tool intelligence with a Neo4j graph database.
- LLM-friendly query layer that retrieves the most relevant tools for specific tasks.
- Semantic differentiation of tools to guide decision-making.
Use cases of Unified MCP Tool Graph?
- Scheduling posts on social media platforms using relevant APIs.
- Creating custom AI assistants that filter tools based on user access and needs.
- Developing smart recommender agents that suggest tools based on various metrics.
FAQ from Unified MCP Tool Graph?
- Can this tool help reduce confusion in LLMs?
Yes! It minimizes tool overload by providing only task-relevant options.
- Is the Unified MCP Tool Graph open-source?
Yes! It is available under the MIT License for academic, personal, and commercial use.
- How can I contribute to the project?
You can submit ideas, open pull requests for improvements, or star the repository to support the research.
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