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Ajeet Singh Raina
Ajeet Singh Raina

Posted on • Originally published at ajeetraina.com

One Year of Model Context Protocol: From Experiment to Industry Standard

The Birth of a Standard

On November 25, 2024, Anthropic introduced something that would fundamentally reshape how AI systems connect with the world: the Model Context Protocol (MCP).

Created by Anthropic developers David Soria Parra and Justin Spahr-Summers, MCP addressed what engineers called the "M×N problem"—the combinatorial explosion of connecting M different AI models with N different tools or data sources.

The Problem MCP Solved

Before MCP, connecting ten AI applications to 100 tools meant potentially 1,000 different custom integrations. MCP reduced this to a simple equation: implement the client protocol once, implement the server protocol once, and everything works together.

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The Timeline: A Year of Unprecedented Growth

Q1 2025: Foundation Phase (November 2024 - February 2025)

November 25, 2024 - Launch

  • Anthropic open-sources MCP with SDKs in Python and TypeScript
  • Reference servers released: Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer
  • Early adopters: Block and Apollo integrate MCP
  • Development tools companies (Zed, Replit, Codeium, Sourcegraph) begin integrations

December 2024 - January 2025

February 2025


Q2 2025: The Inflection Point (March - May)

March 26, 2025 - The Game Changer

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OpenAI CEO Sam Altman announced on X:

"People love MCP and we are excited to add support across our products. available today in the agents SDK and support for chatgpt desktop app + responses api coming soon!"

This same day, MCP launched its second major specification (2025-03-26) introducing:

  • Streamable HTTP transport for cloud deployments
  • Comprehensive OAuth 2.1 authorization framework
  • Enhanced remote deployment capabilities

April 2025

April 22, 2025 - Docker Enters the MCP Arena

Docker announces Docker MCP Catalog and Docker MCP Toolkit, bringing container-grade security to the MCP ecosystem:

Docker MCP Catalog:

  • Centralized discovery platform integrated with Docker Hub
  • 100+ verified MCP servers at launch
  • Partnership with Stripe, Elastic, Neo4j, Heroku, Pulumi, Grafana Labs, Kong Inc., New Relic, Continue.dev and more
  • Publisher verification and versioned releases
  • Built on Docker Hub's infrastructure (20+ billion pulls monthly)

Docker MCP Toolkit:

  • One-click MCP server deployment from Docker Desktop
  • Built-in OAuth support and secure credential storage
  • Seamless integration with Gordon (Docker AI Agent), Claude, Cursor, VS Code, Windsurf, Continue.dev, and Goose
  • Enterprise controls: Registry Access Management (RAM) and Image Access Management (IAM)
  • Containerized MCP servers for isolation and security

Docker President and COO Mark Cavage:

"Building functional AI applications shouldn't feel radically different from building any other app."

May 2025


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