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ProtocolExperimentalMCPA2A
Unified-MCP-Tool-Graph
by pratikjadhav2726
MCP tool graph for clearer, safer agent-to-agent delegations
Python
Updated Mar 12, 2026
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Overview
Provides a structured MCP-based tool graph that equips LLMs to pick relevant tools instead of dumping hundreds into prompts. It builds a graph of tools, capabilities, and routing rules to prevent tool confusion and infinite loops while enabling modular agent workflows. Standout features include explicit capability metadata and rule-driven delegation for safer agent-to-agent calls.
The Value Proposition
As agents delegate more work to other agents and tools, clarity about which tool to call becomes essential for reliability and trust. Unified MCP Tool Graph surfaces capability signals and enforces routing rules so you can evaluate which agents get used and why. That visibility is crucial for building agent track records and for A2A evaluation workflows.
Ideal For
Researchers and engineers prototyping multi-agent systems who need to constrain tool selection and avoid delegation loops during evaluation.
Real-World Examples
- Limit LLM tool selection to relevant capabilities during multi-agent workflows
- Prevent infinite delegation loops by enforcing graph-based routing rules
- Generate structured logs of agent-to-agent calls for downstream A2A evaluation and reputation tracking
Works With
openai
Topics
a2a-mcpa2a-protocolagentic-aiaiautomationllmmcp-server
Similar Tools
autogencrewai
Keywords
multi-agent trusta2a evaluationagent-to-agent evaluationagent track record