adding the meta data at the bottom of my post (#2317)

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w. ian douglas
2025-04-23 10:10:30 -06:00
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@@ -148,3 +148,17 @@ A: There's a learning curve associated with any technology. This can be compound
Q: **How mature and production-ready is MCP for enterprise-level AI integration?**<br/>
A: Your approach on this may vary depending on whether you're building your own MCP server, or whether you're using third-party MCP servers in your integration. Developers should evaluate all of the benefits of MCP and consider the work being done around security and data privacy. Focus on a small pilot project or non-critical system initially to assess its suitability for your specific needs. Stay updated on [MCP's development roadmap](https://modelcontextprotocol.io/development/roadmap) and community feedback.
<head>
<meta property="og:title" content="MCP Is Rewriting the Rules of API Integration" />
<meta property="og:type" content="article" />
<meta property="og:url" content="https://block.github.io/goose/blog/2025/04/22/mcp-is-rewriting-the-rules-of-api-integration" />
<meta property="og:description" content="A developer's guide to modernizing API infrastructure with AI agents and Model Context Protocol. Learn about the benefits, integration strategies, and how to address security considerations." />
<meta property="og:image" content="https://block.github.io/goose/assets/images/cover-1e2153c66f3f0c92da7bbaafd240a9b4.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta property="twitter:domain" content="block.github.io/goose" />
<meta name="twitter:title" content="MCP Is Rewriting the Rules of API Integration" />
<meta name="twitter:description" content="A developer's guide to modernizing API infrastructure with AI agents and Model Context Protocol. Learn about the benefits, integration strategies, and how to address security considerations." />
<meta name="twitter:image" content="https://block.github.io/goose/assets/images/cover-1e2153c66f3f0c92da7bbaafd240a9b4.png" />
</head>