<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Load Balancing on SoloSoft</title><link>https://www.solosoft.dev/tags/load-balancing/</link><description>Recent content in Load Balancing on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/load-balancing/index.xml" rel="self" type="application/rss+xml"/><item><title>MCP Router: Open-Source Router for Model Context Protocol Servers</title><link>https://www.solosoft.dev/post/mcprouter-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/mcprouter-2026/</guid><description>&lt;p&gt;The Model Context Protocol (MCP) has emerged as the standard interface for connecting AI agents to external tools and data sources. As organizations deploy dozens of MCP servers for tasks ranging from code analysis to database queries, a critical infrastructure gap has emerged: how do you manage, route, and balance traffic across multiple MCP servers without coupling every agent to every server address? &lt;strong&gt;MCP Router&lt;/strong&gt;, developed by chatmcp, fills this gap with a dedicated open-source routing layer.&lt;/p&gt;
&lt;p&gt;MCP Router sits between AI agents and MCP server instances, providing a unified entry point that handles load distribution, failover, and server lifecycle management. Instead of configuring each AI agent with the specific addresses of every MCP server, agents connect to the router, which intelligently forwards requests to the appropriate backend. This decoupling is essential as MCP deployments scale from a handful of servers to dozens or hundreds.&lt;/p&gt;</description></item></channel></rss>