Connecting AI to Your Data
The Model Context Protocol (MCP) bridges the gap between AI assistants and your data sources.
What is the Model Context Protocol?
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments.
Even the most sophisticated AI models are constrained by their isolation from data—trapped behind information silos and legacy systems. MCP addresses this challenge by providing a universal, open standard for connecting AI systems with data sources.
How MCP Works
AI Assistants
AI models like Claude can connect to MCP servers to access relevant data and context.
MCP Servers
MCP servers provide a standardized interface to access data from various sources.
Data Sources
Connect to repositories, business tools, and development environments.
The MCP Architecture
The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward:
- Developers can expose their data through MCP servers
- AI applications (MCP clients) connect to these servers
- The protocol standardizes how data is requested and returned
- Security and access controls are built into the protocol
This approach eliminates the need for custom integrations for each data source, making it easier to build context-aware AI applications.
Use Cases
Development Environments
Connect AI assistants to your codebase to provide context-aware coding assistance, bug fixes, and code generation.
Content Repositories
Give AI assistants access to your documents, knowledge bases, and content management systems.
Business Tools
Integrate AI with your CRM, project management, and business intelligence tools.
Data Analysis
Connect AI to databases and data warehouses for context-aware data analysis and insights.
Get Started with MCP
Begin building and testing MCP connectors today to enhance your AI applications with context-aware capabilities.
Install Pre-built Servers
Get started quickly with pre-built MCP servers for popular systems.
Build Your First Server
Follow our quickstart guide to build a custom MCP server.
Join the Community
Contribute to our open-source repositories and implementations.