Explore >> Select a destination
|
You are here 
|
speakerdeck.com | ||
| | | | |
blog.christianposta.com
|
|
| | | | | The Model Context Protocol has created quite the buzz in the AI ecosystem at the moment, but as enterprise organizations look to adopt it, they are confronted with a hard truth: it lacks important security functionality. Up until now, as people experiment with Agentic AI and tool support, they've mostly adopted the MCP stdio transport, which means you end up with a 1:1 deployment of MCP server and MCP client. What organizations need is a way to deploy MCP servers remotely and leverage authorization to give resource owner's access to their data safely. | |
| | | | |
github.com
|
|
| | | | | A faster, safer way to build with AI: the GitHub MCP Registry centralizes MCP servers for effortless discovery, integration, and open collaboration. | |
| | | | |
blog.nilenso.com
|
|
| | | | | Atharva Raykar ... | |
| | | | |
www.integralist.co.uk
|
|
| | | |||
