MCP: secure cross-cloud AI integration
The Model Context Protocol (MCP), open-sourced by Anthropic in November 2024, has rapidly emerged as the cross-cloud standard for connecting AI agents to tools, services, and data within enterprise environments. Major cloud providers like AWS, Microsoft Azure, and Google Cloud have already delivered first-party MCP integrations, with a projected global MCP server market reaching $10.3 billion in 2025. This widespread adoption underscores MCP’s role in addressing the “N×M” connector problem, enabling secure and predictable AI tool integrations across diverse platforms.
Points clés
- The Model Context Protocol (MCP) was open-sourced by Anthropic in November 2024.
- MCP is a JSON-RPC 2.0-based open standard for AI systems to securely discover and call functions, tools, APIs, or data stores.
- The global MCP server market is projected to reach $10.3 billion in 2025.
- AWS launched its API MCP Server developer preview in July 2025, enabling AI agents to call AWS APIs via natural language.
- Microsoft Azure’s AI Foundry MCP Server unifies connections to Azure services like CosmosDB and SharePoint.
- Google Cloud released its MCP Toolbox for Databases in July 2025, simplifying AI-agent access to various databases with minimal code.
- Known security risks for MCP include prompt injection, privilege abuse, tool poisoning, impersonation, and shadow MCP.
- July 2025 saw the identification of CVE-2025-53110 and CVE-2025-6514, highlighting remote code execution risks from malicious MCP servers.
- OpenAI, Google DeepMind, and Anthropic are among the leading AI and developer platforms adopting MCP.
- Companies like Netflix, Databricks, Docusign, Litera, Replit, Zed, Codeium, Sourcegraph, Block (Square), Apollo, FuseBase, and Wix are integrating MCP into their platforms.
À retenir
So, the Model Context Protocol (MCP) is here to save us from the “N×M” connector problem, which sounds suspiciously like a math problem I tried to avoid in school. Apparently, it’s so good that the global MCP server market is set to hit $10.3 billion by 2025. That’s a lot of zeros for something that essentially helps AI agents play nicely with all our data. Just remember to update your libraries, practice “Zero Trust” (because who can you really trust these days?), and manage your credentials like they’re the last slice of pizza. Otherwise, your AI might just decide to run wild, and we all know how that ends. (Hint: it involves a lot of remote code execution and probably a very bad day for your IT department.)
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