AI marketing cross-system automatic calling method and device based on MCP protocol

By using an AI marketing cross-system automatic invocation method based on the MCP protocol, the problems of API fragmentation and insufficient real-time performance in marketing systems are solved, enabling efficient, stable, and intelligent marketing system integration and operation and maintenance, thereby improving marketing effectiveness and response speed.

CN122363848APending Publication Date: 2026-07-10CTV XIAOGUO TECHNOLOGY (BEIJING) CO LTD
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Patent Information

Application Number
CN202610504137.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-16
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing marketing systems suffer from issues such as fragmented APIs, insufficient real-time performance, lack of context, and low standardization, resulting in complex integration, low execution efficiency, high maintenance costs, and the standard MCP protocol is not adapted to the needs of marketing scenarios.

Method used

This paper presents an AI marketing cross-system automatic invocation method based on the MCP protocol. Through task parsing, permission verification, tool matching, parallel invocation, and result feedback, it achieves unified task description, multi-mode invocation, and intelligent tool selection, generates unified reports, and supports dynamic expansion and fault tolerance mechanisms.

Benefits of technology

It improved integration efficiency, reduced operation and maintenance costs, met real-time requirements, enhanced marketing accuracy and conversion rates, and achieved efficient, stable and intelligent operation of the marketing system.

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Abstract

The invention provides an AI marketing cross-system automatic calling method based on an MCP protocol. The AI marketing cross-system automatic calling method comprises the following steps: receiving a marketing task instruction generated by an AI marketing system; analyzing the marketing task instruction, extracting task elements and labeling scene labels; based on the scene label and the task type, matching available tools from an MCP registration tool library; performing permission verification and security verification; calling the available tool according to an MCP standard format by calling an execution engine; collecting execution results of the tools, and generating an execution report in a unified format; and feeding back the execution report to the AI marketing system. According to the AI marketing cross-system automatic calling method based on the MCP protocol, the standardization degree is high, the integration cost is reduced, marketing exclusive standards are expanded on the basis of the standard MCP protocol, task description formats, communication protocols and data formats are unified, and the problem of API fragmentation is solved.
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