pratikjadhav2726/Unified-MCP-Tool-Graph

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.

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Emerging

This project helps AI system developers equip their large language models (LLMs) with the right external tools or APIs for any given task without overwhelming them. It takes a user query and a large collection of potential tools, then intelligently sifts through them to provide only the most relevant 3-4 tools and their necessary configurations. The end user is an AI developer building agents or LLM-powered applications that need to interact with various external services.

Use this if your large language model (LLM) or AI agent struggles with choosing the correct external tools, gets stuck in repetitive loops, or is overwhelmed by too many options when trying to complete a task.

Not ideal if you are not building AI agents or LLM-powered applications that require dynamic access and orchestration of external tools and APIs.

AI-agent-development LLM-tooling API-orchestration AI-workflow-optimization agentic-AI-systems
No Package No Dependents
Maintenance 6 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

27

Forks

7

Language

Python

License

MIT

Last pushed

Dec 02, 2025

Commits (30d)

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