Synapse MCP Client

The Problem

Last-mile delivery operations suffer from fragmented communication between stakeholders. Resolving issues like traffic delays, address disputes, and restaurant coordination typically requires human intervention at every step, leading to slow resolution times and high operational costs.

The Solution

Synapse is an autonomous AI agent system built on the Model Context Protocol (MCP). It acts as a central nervous system for delivery operations, capable of reasoning through complex scenarios without human oversight.

The system features 17+ specialized tools across multiple domains:

• Logistics Domain: Real-time tracking, route optimization, and delay prediction.
• Customer Domain: Automated status updates and inquiry handling.
• Dispute Domain: Conflict resolution logic for delivery verification.
• Verification Domain: Identity and package integrity checks.

Architecture & Tech Stack

• Core Logic: Python-based agentic workflow using the Model Context Protocol.
• Backend: FastAPI for high-performance tool execution and state management.
• Frontend: Next.js dashboard for monitoring agent decisions and system health.
• Deployment: Containerized with Docker and deployed on Hugging Face Spaces and Vercel.

Key Outcomes

• Automated Resolution: Successfully handles complex edge cases like traffic delays and address confusion autonomously.
• Scalable Infrastructure: Dockerized architecture allows for easy scaling of agent capabilities.
• Unified Protocol: Demonstrates the power of MCP in standardizing tool use across different AI models.