Industry • December 2024
The open standard that connects AI to your business systems
MCP (Model Context Protocol) is an open standard that enables AI assistants like ChatGPT and Claude to connect securely to external data sources and business tools. Launched by Anthropic on November 25, 2024, MCP has been adopted by OpenAI, AWS, and major AI platforms as the standard for AI integration.
Before MCP, connecting an AI assistant to your business data required custom API integrations for each AI platform. If you wanted your data available in both ChatGPT and Claude, you needed separate integrations for each.
MCP standardizes this connection. Build one MCP server, and it works with any AI client that supports the protocol—including ChatGPT, Claude, Amazon Bedrock, and development tools like Cursor and VS Code.
This means businesses can invest in a single integration that works across the AI ecosystem, rather than maintaining separate connections for each platform.
MCP uses a client-host-server architecture, as defined in the official specification:
Source: MCP Specification
OpenAI's Apps SDK for ChatGPT is built on MCP. On October 6, 2025, OpenAI announced that "The Apps SDK builds on the Model Context Protocol (MCP), the open standard for connecting ChatGPT to external tools and data." App submissions opened on December 17, 2025.
Source: OpenAI Blog
AWS integrated MCP into Amazon Bedrock via the Converse API and AgentCore services. Bedrock AgentCore became generally available on October 2, 2025 with native MCP server support. AWS also released the AWS MCP Server preview in November 2025.
Source: AWS News
As the creator of MCP, Anthropic has native support across Claude products. Claude Desktop, Claude Code, and the Claude API all support MCP connections. Anthropic donated MCP to the Agentic AI Foundation under the Linux Foundation in December 2025.
Source: Anthropic Blog
| Aspect | Traditional API | MCP |
|---|---|---|
| Platform Compatibility | One integration per platform | Build once, works with all MCP clients |
| Standard | Proprietary per platform | Open standard (Linux Foundation) |
| Security Model | Varies by implementation | Isolated connections, servers cannot read full conversation |
| Discovery | Manual documentation | Capability negotiation at connection |
Connect your product catalog to AI assistants. When customers ask ChatGPT about products, the AI can access real inventory, pricing, and product details through your MCP server.
Give AI assistants access to your knowledge base, ticketing system, and customer records. Support agents (AI or human) can retrieve relevant information instantly.
Connect internal databases, CRMs, and business systems. Employees can query data and perform actions through AI assistants without learning each tool's interface.
IDEs like Cursor and VS Code use MCP to connect AI coding assistants to codebases, documentation, and development tools.
Yes. MCP was open-sourced by Anthropic on November 25, 2024. In December 2025, Anthropic donated MCP to the Agentic AI Foundation under the Linux Foundation, ensuring community-driven governance.
Yes. OpenAI's Apps SDK is built on MCP. To build a ChatGPT App, you create an MCP server and add UI components using the Apps SDK.
Yes. An MCP server can connect to any client that supports the protocol. Build once and your data is accessible from ChatGPT, Claude, Amazon Bedrock, and other MCP-compatible systems.
MCP includes security features by design. Each server connection is isolated—servers cannot read the full conversation or access other servers' data. The host application controls what each server can access.
You can build your own MCP server using the official SDKs, or use a platform like Noodle Seed that handles MCP server creation and management for you.
Noodle Seed creates MCP servers for your business, connecting your data to ChatGPT, Claude, and other AI platforms—without you writing code.
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