GitHub Agent Finder Moves AI Tool Discovery Into Registries
GitHub Copilot can now discover MCP servers, skills, agents and tools from selected public or private registries through Agent Finder.
Key takeaways
GitHub announced Agent Finder for GitHub Copilot on June 17, 2026. The feature helps agents find task-relevant resources from a selected registry and implements the open Agentic Resource Discovery specification.
GitHub announced on June 17, 2026 that Agent Finder for GitHub Copilot is available. Instead of manually pre-wiring every MCP server, skill, agent or tool, Copilot can discover relevant capabilities from a registry selected by the user or organization.
GitHub says Agent Finder implements the open Agentic Resource Discovery specification, developed with Google, GoDaddy, Hugging Face and Microsoft. The feature can work with a curated public catalog or a private internal registry, while managed settings can limit what agents are allowed to discover and use.
For ENHE users, the practical signal is that AI workflows are moving from one-off tool setup toward governed resource discovery. Teams should document tools clearly, manage permissions, separate public and private resources, and keep human approval in the connection process.
What this means for everyday users
For ENHE users, Agent Finder shows that useful AI agent workflows depend on discoverable, well-described and governed resources. Tool selection should include registry design, permissions, account boundaries and human approval, not just model quality.
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Summary
GitHub Agent Finder points AI agents toward a registry-based discovery model. Its value is controlled discovery and better matching, rather than automatic connection to every available tool.