Model Context Protocol.
Automating LLMS-TXT Context for the Lazy Engineer.
TL;DR Programmer was lazy to manually upload text files to AI coding agents. Found an MCP server that helps, but was too lazy to keep updating the command arguments. Spent a couple of hours writing a daemon that reloads server with required changes on config or directory changes.
Discovering and multiplexing MCP servers using Agent Gateway
⚠️This article was based on Agent Gateway version 0.5.2. Releases after this version have introduced a different configuration schema. You can see new example configuration on the project repository. Recently I have been looking at how to deploy multiple model context protocol (MCP) servers in a Kubernetes environment such that agents can discover and use them dynamically as they are deployed. This led me to a project that was originally called MCP Proxy which in months of its inception a
Containing Local MCP Servers
It would seem that Model Context Protocol is the talk of the town these days. With the onset of tools like Anthropic's Claude Code and JetBrain's Junie being able to run local instances MCP Servers are helping to provide relevant context to AI Agents "just in time". The quality and reliability of MCP Servers available today is rather variable. And it will take some time, as with most software, for things to get better. Today, a lot of the MCP Servers out there are hacked together or vibe coded.
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