> ## Documentation Index > Fetch the complete documentation index at: https://docs.usenash.com/llms.txt > Use this file to discover all available pages before exploring further. # MCP Integration Interested in using Nash's MCP for your AI Agent? Please reach out to **[sales@usenash.com](mailto:sales@usenash.com)** to get started. ## What is MCP? The **Model Context Protocol (MCP)** is an open standard that enables AI agents to interact with external tools and data sources in a structured, secure way. MCP allows AI assistants to access real-time information and perform actions through standardized interfaces, making them more powerful and contextually aware. ## Why MCP Matters Traditional AI agents are limited to their training data and can't access real-time information or perform actions in external systems. MCP bridges this gap by providing: * **Real-time data access**: Get live delivery status updates, courier locations, and order information * **Actionable capabilities**: Create deliveries, request refunds, manage orders, and more * **Structured interactions**: Standardized protocol ensures reliable, predictable behavior * **Enhanced user experience**: AI agents can handle complex delivery workflows seamlessly ## Nash MCP Server Our MCP server provides direct access to Nash's delivery platform capabilities, allowing your AI agents to perform: ### Core Delivery Operations * **Create deliveries** with pickup and dropoff locations * **Track delivery status** in real-time * **Request refunds** for failed or problematic deliveries * **Get courier information** including location and contact details * **Manage delivery windows** and scheduling ### Advanced Features * **Batch operations** for multiple deliveries * **Store location management** for businesses * **Delivery window optimization** based on capacity * **Real-time notifications** and status updates * **Document management** including proof of delivery ## Benefits for Your AI Agent Integrating Nash's MCP server into your AI agent provides several advantages: ### Enhanced User Experience * Users can create and manage deliveries through natural conversation * Real-time status updates without leaving the chat interface * Seamless integration of delivery services into existing workflows ### Operational Efficiency * Automated delivery creation and management * Proactive issue resolution through status monitoring * Reduced manual intervention for routine delivery tasks ### Competitive Advantage * Differentiate your AI agent with delivery capabilities * Provide end-to-end service from order to delivery * Build more comprehensive customer experiences ## Getting Started If you're interested in integrating Nash's MCP server into your AI agent, please reach out to our sales team: **Email**: [sales@usenash.com](mailto:sales@usenash.com) Our team will help you: * Set up access to our MCP server * Configure authentication and permissions * Provide documentation for specific MCP functions * Assist with integration testing and deployment ## Use Cases ### E-commerce AI Assistants * Create deliveries automatically when orders are placed * Provide real-time delivery tracking to customers * Handle delivery issues and refunds through conversation ### Business Management Agents * Manage multiple store locations and delivery windows * Monitor delivery performance and courier activity * Automate bulk delivery operations ### Customer Service Bots * Answer delivery-related questions with live data * Resolve delivery issues proactively * Provide accurate delivery estimates and ETAs *** Ready to enhance your AI agent with delivery capabilities? Contact us at [sales@usenash.com](mailto:sales@usenash.com) to get started with Nash's MCP integration.