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MCP

What is MCP

MCP (Model Control Plane) is the central module in AI Studio for connecting AI models with external systems.
Its role is to help Agents "access more capabilities," enabling intelligent agents not only to answer questions but also to truly execute tasks, access systems, and call data.
It can be simply understood as: MCP is the key component that transforms AI from "being able to talk" to "being able to do things."

Functional Modules

Function Category

Main Purpose

Computing Services

Addition, subtraction, multiplication, division, modulo, square root, exponentiation

Search Services

Web search, academic paper retrieval, data extraction

Data Analysis

Chart generation, analytical capabilities

Tool Integration

Map services, collaboration tool integration

Core Features of MCP

  1. Unified Connection: Centrally manages models and external APIs from different sources, allowing AI to flexibly use multiple intelligent resources.

  2. Permissions and Security: Supports organization-level and individual-level access control to ensure enterprise data security and compliant invocation.

  3. Flexible Expansion: Freely add new models or system interfaces according to business needs, expanding AI capabilities at any time.

  4. Seamless Integration: Closely collaborates with AI Studio’s Agent, Skill, and App modules to easily realize the complete process from model invocation to task execution.

Analogous Example

You can think of MCP as the "plugin center" or "control room" for AI:

  • When you install a new app on your phone, it gains new functions;

  • Similarly, when an Agent connects to a new MCP, it gains new capabilities.

For example:

  • Connecting to a "Weather Query MCP" enables the Agent to answer weather-related questions;

  • Connecting to a "CRM System MCP" enables the Agent to query customer information and generate sales reports;

  • Connecting to a "Document Analysis MCP" enables the Agent to help extract contract content and key data.

Application Scenarios

MCP has a wide range of applications, with common business scenarios including:

  • Automated Data Processing: Allow Agents to automatically extract data from systems, generate reports, or complete approvals.

  • Intelligent Q&A and Information Retrieval: Connect to enterprise knowledge bases or third-party information sources to achieve precise responses.

  • Cross-System Collaboration: Enable AI to interact with multiple business systems simultaneously to complete complex tasks (such as ticket creation, customer notifications, etc.).

  • Personalized Expansion: Individual users can connect their own tools or APIs through MCP to create a personalized AI assistant.

With MCP, your Agent is no longer just an "assistant that answers questions,"
but an intelligent work partner that truly understands business, executes tasks, and connects systems.