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Version: 4.x

MCP Server Introduction

Applicable EditionsTapData EnterpriseTapData Enterprise can be deployed in your local data center, making it suitable for scenarios with strict requirements on data sensitivity or network isolation. It can serve to build real-time data warehouses, enable real-time data exchange, data migration, and more.TapData CommunityTapData Community is an open-source data integration platform that provides basic data synchronization and transformation capabilities. This helps you quickly explore and implement data integration projects. As your project or business grows, you can seamlessly upgrade to TapData Cloud or TapData Enterprise to access more advanced features and service support.

MCP (Model Context Protocol) is a protocol designed to provide structured business data in real time to AI models, enhancing their understanding of business context. With the Tapdata MCP Server, you can integrate, anonymize, and publish data from multiple heterogeneous systems as real-time contextual views that can be dynamically accessed by LLMs (Large Language Models) or AI Agents.

This solution is especially suitable for enterprise scenarios with high demands for data freshness and compliance, such as financial risk control, intelligent customer service, and personalized recommendation.

Background​

As digital transformation accelerates, more enterprises are leveraging AI models for real-time business decision-making. However, in practice, they face the following challenges:

  • AI models often lack effective access to real-time business data, leading to poor inference accuracy and hallucinations.
  • Enterprise data is typically scattered across systems like CRM, core banking, ERP, etc., creating data silos.
  • Due to data security and compliance requirements, AI models are often prohibited from directly accessing raw databases.

TapData MCP Server Overview

To address these challenges, Tapdata provides the MCP service. It uses a standardized SSE protocol, along with real-time materialized views and data anonymization, to securely and efficiently deliver structured context to AI models. The model can access real-time business context without direct database connections, significantly improving inference accuracy and enabling trustworthy AI adoption in enterprises. This forms a unified AI Context Service Layer.

Key Benefits​

  • Real-Time Acceleration with 100x Faster Query Performance Powered by TapData’s caching and materialized view capabilities, MCP enables millisecond-level query responses without direct access to source systems—dramatically improving context retrieval and model inference speed.
  • Secure Access with Trusted, Controlled Context Supports field-level masking and role-based permissions. Combined with real-time sync and incremental updates, it ensures AI models access only fresh, authorized data during inference.
  • Connect 100+ Data Sources with a Single MCP One MCP instance can connect to over 100 heterogeneous data sources, including major databases and SaaS platforms—breaking data silos and providing a unified foundation for context-aware AI.
  • Built for LLM Agents with Seamless Integration Offers standardized SSE support and no-code REST API setup, fully compatible with tools like Cursor, Claude, and other popular agent frameworks—bridging enterprise data and AI with ease.

Learn More​