MCP servers for the entire team: from local launch to centralized access

<p><em>This blog was originally published on <a href="https://www.descope.com/blog/post/auth-remote-mcp" rel="noopener noreferrer">Descope</a>.</em></p> <p><a

<p>The AI world has a plumbing problem. We have incredible language models, but connecting them to real tools — databases, APIs, file systems, other agents — still feels like

<p>Salesforce just flipped a switch at TDX 2026 that matters more than most announcements in recent memory: your Salesforce org is now an MCP server. Every Developer Edition org

<p><em>Originally published at <a href="https://webofmike.com/shadow-mcp-servers/?utm_source=devto&amp;utm_medium=syndication&amp;utm_campaign=shadow-mcp-servers" rel="noopener

<h2> Your AI agent is probably missing two-thirds of what it needs </h2> <p>Most agents ship with one capability: text generation. Some get tool access — usually a single API or a

<h2> The Hidden Tax on Every MCP Request </h2> <p>Here is something nobody talks about when they demo MCP integrations: token costs at scale.</p> <p>I have been running MCP setups

<p><strong>TL;DR:</strong> Everyone says "MCP doesn't work in Cowork." We solved it using supergateway + pm2. It worked on the first try. Here's the full setup.</p> <h2> The

<h2> The Setup </h2> <p>MCP (Model Context Protocol) lets AI agents call external tools. Instead of just reading files and running bash, the agent gets structured access to APIs,