Add Red Hat Insights MCP to README.md

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Patrik Segedy
2025-08-20 23:49:50 +02:00
committed by GitHub
parent 03679e01cc
commit 55d2118f17

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@@ -355,6 +355,7 @@ Official integrations are maintained by companies building production ready MCP
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account
- <img height="12" width="12" src="https://framerusercontent.com/images/CU1m0xFonUl76ZeaW0IdkQ0M.png" alt="Razorpay Logo" /> **[Razorpay](https://github.com/razorpay/razorpay-mcp-server)** - Razorpay's official MCP server
- <img height="12" width="12" src="https://www.recraft.ai/favicons/icon.svg" alt="Recraft Logo" /> **[Recraft](https://github.com/recraft-ai/mcp-recraft-server)** - Generate raster and vector (SVG) images using [Recraft](https://recraft.ai). Also you can edit, upscale images, create your own styles, and vectorize raster images
- <img height="12" width="12" src="https://www.redhat.com/favicon.ico" alt="Red Hat Logo" /> **[Red Hat Insights](https://github.com/RedHatInsights/insights-mcp)** - Interact with [Red Hat Insights](https://www.redhat.com/en/technologies/management/insights) - build images, manage vulnerabilities, or view targeted recommendations.
- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/1529926" alt="Redis Logo" /> **[Redis](https://github.com/redis/mcp-redis/)** - The Redis official MCP Server offers an interface to manage and search data in Redis.
- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/1529926" alt="Redis Logo" /> **[Redis Cloud API](https://github.com/redis/mcp-redis-cloud/)** - The Redis Cloud API MCP Server allows you to manage your Redis Cloud resources using natural language.
- <img src="https://avatars.githubusercontent.com/u/149024635" alt="Reexpress" width="12" height="12"> **[Reexpress](https://github.com/ReexpressAI/reexpress_mcp_server)** - Enable Similarity-Distance-Magnitude statistical verification for your search, software, and data science workflows