{"id":3719,"date":"2026-05-29T12:10:53","date_gmt":"2026-05-29T17:10:53","guid":{"rendered":"https:\/\/cloudamize.com\/?p=3719"},"modified":"2026-05-29T12:11:26","modified_gmt":"2026-05-29T17:11:26","slug":"cloudamize-doubles-down-on-agentic-ai-with-new-mcp-server-release","status":"publish","type":"post","link":"https:\/\/cloudamize.com\/en\/cloudamize-doubles-down-on-agentic-ai-with-new-mcp-server-release\/","title":{"rendered":"Cloudamize Doubles Down on Agentic AI with New MCP Server Release"},"content":{"rendered":"

Cloudamize, the cloud migration intelligence platform trusted by partners worldwide, is pleased to announce the release of an <\/span>externally facing MCP Server<\/span><\/a> \u2014 a major capability milestone that enables Cloudamize to connect directly with AI assistants, AI agents, and large-scale agentic systems through the Model Context Protocol (MCP).<\/span><\/p>\n

The release marks a significant step in Cloudamize’s evolution since <\/span>splitting from its parent company last year<\/span><\/a>. Since that transition, the company’s central mission has been clear: help partners move faster through the Discovery to Migration phases of the cloud journey. Today’s announcement is a direct expression of that commitment.<\/span><\/p>\n

Many of our partners have invested in various forms of Agentic AI to support their own business processes, and with the MCP Server now live, those partners can integrate Cloudamize’s migration intelligence directly into their AI-driven workflows, creating a seamless, automated bridge between cloud assessment data and the agentic systems acting on it.<\/span><\/p>\n

For partners, this means faster migrations<\/b>. Connecting existing AI agents and assistants directly to Cloudamize’s platform accelerates the Discovery to Migration workflows.<\/span><\/p>\n

For developers, this provides internal velocity<\/b>. The MCP Server affords Cloudamize’s own engineering team new development flexibility, enabling faster feature releases.<\/span><\/p>\n

For the platform, this means we\u2019re agentic-ready<\/b>. Cloudamize is now natively compatible with the emerging standard for AI agent integration, Model Context Protocol.<\/span><\/p>\n

The benefits aren’t just limited to partners \u2013 Cloudamize is excited about the benefits to our own internal team. Having an MCP Server embedded in the platform gives the engineering team a development flexibility that is expected to translate into faster release cycles and more frequent feature updates\u2026 a win for all stakeholders.<\/span><\/p>\n

“I’m excited as we enter this new chapter of product development. We have an amazing team of engineers building and supporting the platform, who have just successfully completed a transformation in AI-enabled development. I am eager to witness the continued evolution of both our platform and our team!” <\/span><\/i>\u2013 Johnson Abraham, Partner & CTO, Cloudamize<\/p><\/blockquote>\n

The Cloudamize MCP Server is available now. Full documentation, including an Admin & Setup Guide and an End User Integration Guide, is published in the <\/span>Cloudamize Support Center<\/span><\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Cloudamize, the cloud migration intelligence platform trusted by partners worldwide, is pleased to announce the release of an externally facing MCP Server…<\/p>\n","protected":false},"author":87,"featured_media":3720,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[50],"tags":[],"class_list":["post-3719","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-releases"],"acf":[],"yoast_head":"\nCloudamize Doubles Down on Agentic AI with New MCP Server Release<\/title>\n<meta name=\"description\" content=\"Cloudamize announces the release of an externally facing MCP Server, connecting its cloud migration platform to AI assistants, agents, and large-scale agentic systems through the Model Context Protocol.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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