<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>MCP - Tag - AWS Sensei</title><link>https://aws-sensei.cloud/tags/mcp/</link><description>MCP - Tag - AWS Sensei</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Fri, 08 May 2026 00:00:00 +0200</lastBuildDate><atom:link href="https://aws-sensei.cloud/tags/mcp/" rel="self" type="application/rss+xml"/><item><title>AWS MCP Server with Claude Code</title><link>https://aws-sensei.cloud/posts/2026-05-08-aws-mcp-server-claude-code/</link><pubDate>Fri, 08 May 2026 00:00:00 +0200</pubDate><author>Marcel</author><guid>https://aws-sensei.cloud/posts/2026-05-08-aws-mcp-server-claude-code/</guid><description>🔊 Voiced by Amazon Polly
AWS recently announced the general availability of the AWS MCP Server. It gives AI coding assistants like Claude Code direct access to over 15,000 AWS API operations, live documentation, and sandboxed script execution — all via the Model Context Protocol.
I set it up for my own workflow and ran into a few stumbling blocks. Here&amp;rsquo;s the short version of what actually works.
What is the AWS MCP Server?</description></item></channel></rss>