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AI Launch Profile

GitHub Copilot Agent Finder

GitHub released Agent Finder for Copilot, which accepts a plain-language task, searches a selected public or private Agentic Resource Discovery registry, and returns ranked MCP servers, skills, canvases, agents, APIs and other resources for human selection.

An engineer reviews a selected but disconnected resource case in a governed tool library

At a glance

Launch Snapshot

Company
GitHub
Launch date
June 17, 2026
Launch type
Not classified
Category
AI Agents, AI Coding Tools, AI Developer Tools
Audience
AI Coding Tool Users, Developers, Enterprise IT, Platform Teams
Pricing
GitHub says Agent Finder is available on all Copilot plans and does not list a separate price. Copilot plan allowances, AI credits and organization policies still determine the surrounding service cost and access.
Free plan
Yes
API
No
Open weights/source
No

Verification & Sources

Evidence state
Recheck due
Source links
6
Freshness
Needs recheck: checked July 28, 2026
Last updated
July 28, 2026
What this evidence state means
Definition
The claim was previously checked, but its review window expired or a material change may have invalidated it.
Required provenance
The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
Owner
Kingy freshness queue owner and assigned editorial reviewer
Freshness rule
This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
Disputes and corrections
Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Suggest a correction

Form submissions, correction notes, score details, URLs, and analytics events may be stored for editorial review, spam prevention, product improvement, and follow-up. Do not submit secrets, unreleased financials, private customer data, or regulated personal data through these forms.

Kingy AI Take

Agent Finder addresses a real scaling problem: agents should not carry every possible integration in context. Its strongest controls are registry choice, managed settings and an explicit no-auto-install boundary. Ranking is still discovery, not security review. Teams should test search relevance, registry freshness, provenance and policy enforcement before treating the top result as approved or safe.

Who it is for

Developers, platform teams, Copilot administrators and enterprise IT teams managing resource discovery, private catalogs and approved agent capabilities.

What feels promising

A selected public or private registry can narrow discovery to an organization’s intended resource universe, while on-demand loading can reduce manual configuration and unnecessary context.

What feels unproven

Kingy did not run Agent Finder or validate ranking quality, registry latency, private-catalog behavior, ARD interoperability, malicious metadata handling or policy coverage across Copilot surfaces.

Editorial submissions and sponsor-fit reviews are separate. Payment does not influence Kingy scores, verdicts, rankings, evidence labels, or publication decisions.