Agent Skills in Practice: Managing a Growing Catalog with MCPbundler Agent skills are modular, reusable packages that bundle instructions and resources for specialized tasks. With adoption accelerating across tools such as GitHub Copilot, VS Code and Claude Code, managing skills across multiple clients…
Skills adoption is getting its moment. All major Ai development tools joining Agent Skills open format and support the SKILL.md natively. I think the amount of skill usage will skyrocket next couple of months. How many of you use one…
Open Standard Announcement On December 18 2025, Anthropic released the Agent Skills specification as an open standard with a reference SDK. This open‑standard approach encourages cross‑agent portability and has already been adopted by tools like VS Code, GitHub Copilot, Cursor and others. What are…
Build 19 adds several improvements to how MCP Bundler manages and presents skills. The focus of this release is on synchronizing native skills, organising them in global folders and refining the user interface. Native skills sync A new export and…
Build 18 is now available. This release focuses on improving how you organize larger setups, how you debug what’s happening in the bundled stdio server, and how Skills are presented to clients that already handle them natively. Group MCP servers…
The 2025-11-25 MCP spec adds Tasks for durable async jobs, OAuth client credentials and Cross App Access, extensions, and developer experience fixes.
Reduce token overhead by loading only needed MCP servers and tools. Create reusable bundles, use search_tool/call_tool for on-demand loading, and monitor health logs.
Optimize MCP servers: group tools by project, disable unused functions, use helper tools, save large outputs to files, and enforce per-server access controls.
Real-time monitoring, predictive forecasting, and automation enable scalable, cost-efficient AI workflows with faster processing and just-in-time GPU allocation.
Organize MCP servers by project or function, enable only necessary tools, audit dependencies, and monitor performance to reduce resource use.
