mcp-server-refund-protect
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The Model Context Protocol (MCP) allows LLM agents to dynamically interact with APIs and tools through a shared context, enabling context-aware execution of code, API calls, and plugin usage.
The Model Context Protocol (MCP) is a protocol designed to enable large language models (LLMs) like ChatGPT and Claude to interact with APIs and tools using a shared context. This protocol bridges the gap between natural language interfaces and programmable systems, allowing for context-aware execution of code, API calls, and plugin usage through structured prompts. MCP facilitates seamless integration of AI models with various platforms, enhancing their ability to perform complex tasks by leveraging external tools and services. The protocol is particularly useful for creating dynamic and interactive AI applications that require real-time data processing and decision-making capabilities.
Features
- Dynamic Interaction: Allows LLMs to interact with APIs and tools using a shared context.
- Context-Aware Execution: Enables execution of code, API calls, and plugin usage through structured prompts.
- Seamless Integration: Bridges the gap between natural language interfaces and programmable systems.
- Enhanced AI Capabilities: Facilitates the creation of dynamic and interactive AI applications.
- Real-Time Data Processing: Supports real-time data processing and decision-making capabilities.
Tools
1
Quotation.
2
Quotation details.
3
Quotes create transactions.
4
Use the booking reference number to query transaction details.
5
Cancel a transaction using the booking reference number.
6
Widget code.
7
Widget code.
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Component code.
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Component code.
10
Serve.
