[{"data":1,"prerenderedAt":358},["ShallowReactive",2],{"blog-2026-06-24-github-copilot-agent-finder-ard":3},{"id":4,"title":5,"author":6,"body":7,"date":342,"description":343,"extension":344,"language":345,"meta":346,"navigation":347,"path":348,"seo":349,"stem":350,"tags":351,"__hash__":357},"blog/blog/2026-06-24-github-copilot-agent-finder-ard.md","GitHub Copilot Gets Agent Finder","intelliBrain",{"type":8,"value":9,"toc":335},"minimark",[10,14,45,48,64,80,85,102,120,129,145,149,152,168,177,180,183,186,190],[11,12,13],"p",{},"GitHub has shipped a small-looking Copilot feature that points at a much larger problem in agentic software development: discovery.",[11,15,16,17,21,22,25,26,38,39],{},"On ",[18,19,20],"strong",{},"June 17, 2026",", GitHub announced ",[18,23,24],{},"agent finder for GitHub Copilot",".",[27,28,29],"sup",{},[30,31,37],"a",{"href":32,"ariaDescribedBy":33,"dataFootnoteRef":35,"id":36},"#user-content-fn-1",[34],"footnote-label","","user-content-fnref-1","1"," The feature lets Copilot search for relevant AI resources when a task needs them, instead of requiring a developer or administrator to pre-wire every possible MCP server, skill, canvas, tool, or agent into the session ahead of time.",[27,40,41],{},[30,42,37],{"href":32,"ariaDescribedBy":43,"dataFootnoteRef":35,"id":44},[34],"user-content-fnref-1-2",[11,46,47],{},"That matters because agentic tools have quickly created a new version of dependency sprawl. A useful coding agent might need GitHub, a cloud provider, an issue tracker, a deployment workflow, a design system, a documentation index, or a language-specific skill. Loading all of that into every session wastes context. Loading too little leaves the agent unable to complete real work.",[11,49,50,51,57,58],{},"Agent finder tries to solve that middle layer. According to GitHub, a user describes a task in plain language, agent finder searches an index of available AI resources, and Copilot receives ranked matches it can pull in on demand from a configured catalog.",[27,52,53],{},[30,54,37],{"href":32,"ariaDescribedBy":55,"dataFootnoteRef":35,"id":56},[34],"user-content-fnref-1-3"," GitHub says those catalogs can be its curated public catalog or a private enterprise registry.",[27,59,60],{},[30,61,37],{"href":32,"ariaDescribedBy":62,"dataFootnoteRef":35,"id":63},[34],"user-content-fnref-1-4",[11,65,66,67,73,74],{},"The important governance detail is that this is discovery, not silent installation. GitHub says agent finder does not automatically connect new resources; it surfaces matches, and the user or organization remains in control.",[27,68,69],{},[30,70,37],{"href":32,"ariaDescribedBy":71,"dataFootnoteRef":35,"id":72},[34],"user-content-fnref-1-5"," Enterprise managed settings define which resources agents may discover and use, and agent finder only returns resources permitted by those settings.",[27,75,76],{},[30,77,37],{"href":32,"ariaDescribedBy":78,"dataFootnoteRef":35,"id":79},[34],"user-content-fnref-1-6",[81,82,84],"h2",{"id":83},"ard-enters-the-stack","ARD enters the stack",[11,86,87,88,91,92,95,96],{},"The more interesting part is the standard behind it. GitHub says agent finder implements the open ",[18,89,90],{},"Agentic Resource Discovery"," specification, or ",[18,93,94],{},"ARD",", developed with Google, GoDaddy, Hugging Face, Microsoft, and others.",[27,97,98],{},[30,99,37],{"href":32,"ariaDescribedBy":100,"dataFootnoteRef":35,"id":101},[34],"user-content-fnref-1-7",[11,103,104,105,113,114],{},"Microsoft published its own ARD announcement the same day.",[27,106,107],{},[30,108,112],{"href":109,"ariaDescribedBy":110,"dataFootnoteRef":35,"id":111},"#user-content-fn-2",[34],"user-content-fnref-2","2"," It describes ARD as an open specification for publishing, indexing, and discovering AI capabilities. The goal is to let AI clients ask which resource can help with a task, then receive matches with metadata about what they do, who provides them, where they live, and how they can be invoked.",[27,115,116],{},[30,117,112],{"href":109,"ariaDescribedBy":118,"dataFootnoteRef":35,"id":119},[34],"user-content-fnref-2-2",[11,121,122,123],{},"That is a different layer from MCP. MCP defines a way for models and agents to connect to tools and context servers once those resources are known. ARD sits earlier in the flow. Microsoft frames it as a discovery layer that helps an AI client decide which capability to use before invocation, whether the resource is an MCP server, API, workflow system, or something else.",[27,124,125],{},[30,126,112],{"href":109,"ariaDescribedBy":127,"dataFootnoteRef":35,"id":128},[34],"user-content-fnref-2-3",[11,130,131,132,138,139],{},"Microsoft also says ARD is being developed with a broader group that includes Cisco, Databricks, GitHub, GoDaddy, Google, Hugging Face, Nvidia, Salesforce, ServiceNow, and Snowflake.",[27,133,134],{},[30,135,112],{"href":109,"ariaDescribedBy":136,"dataFootnoteRef":35,"id":137},[34],"user-content-fnref-2-4"," Hugging Face's Discover Tool is named as another reference implementation, providing search access to skills, ML applications, and MCP servers across Hugging Face and other ARD discovery services.",[27,140,141],{},[30,142,112],{"href":109,"ariaDescribedBy":143,"dataFootnoteRef":35,"id":144},[34],"user-content-fnref-2-5",[81,146,148],{"id":147},"why-developers-should-care","Why developers should care",[11,150,151],{},"The practical problem is familiar. A team adopts agents, then has to answer hard questions: where do approved tools live, who can expose them, how are they ranked, what should an agent be allowed to find, and how do private resources mix with public ones?",[11,153,154,155,161,162],{},"ARD does not remove authentication, authorization, governance, or trust decisions. Microsoft is explicit about that.",[27,156,157],{},[30,158,112],{"href":109,"ariaDescribedBy":159,"dataFootnoteRef":35,"id":160},[34],"user-content-fnref-2-6"," It gives those decisions a more structured place to operate. Different discovery services can expose different answer sets: public catalogs, vendor catalogs, internal registries, or curated mixtures of all three.",[27,163,164],{},[30,165,112],{"href":109,"ariaDescribedBy":166,"dataFootnoteRef":35,"id":167},[34],"user-content-fnref-2-7",[11,169,170,171],{},"That shape is important for enterprises. Agent discovery cannot be one global app store where every tool is equally visible to every agent. It needs scoped registries, policy boundaries, auditability, and local control. GitHub's implementation leans into that: the registry is configurable, managed settings apply, and no resource is connected automatically.",[27,172,173],{},[30,174,37],{"href":32,"ariaDescribedBy":175,"dataFootnoteRef":35,"id":176},[34],"user-content-fnref-1-8",[11,178,179],{},"For individual developers, the near-term benefit is simpler: less manual wiring and less context bloat. If an agent can find the right resource for the current job, it does not need to carry a backpack full of irrelevant tools into every prompt.",[11,181,182],{},"This is not a flashy model release. It is infrastructure for agentic software. The more agents move from chat assistants toward autonomous coding, review, deployment, and operations workflows, the more they need a discovery layer that is open, scoped, and policy-aware.",[11,184,185],{},"GitHub's agent finder is one concrete implementation. ARD is the bigger signal: the agent ecosystem is starting to build searchable capability metadata, not just more tools.",[81,187,189],{"id":188},"sources","Sources",[191,192,195,200],"section",{"className":193,"dataFootnotes":35},[194],"footnotes",[81,196,199],{"className":197,"id":34},[198],"sr-only","Footnotes",[201,202,203,278],"ol",{},[204,205,207,208,214,215,222,223,222,230,222,238,222,246,222,254,222,262,222,270],"li",{"id":206},"user-content-fn-1","GitHub Changelog, ",[30,209,213],{"href":210,"rel":211},"https://github.blog/changelog/2026-06-17-agent-finder-for-github-copilot-now-available/",[212],"nofollow","\"Agent finder for GitHub Copilot now available\"",", published June 17, 2026. ",[30,216,221],{"href":217,"ariaLabel":218,"className":219,"dataFootnoteBackref":35},"#user-content-fnref-1","Back to reference 1",[220],"data-footnote-backref","↩"," ",[30,224,221,228],{"href":225,"ariaLabel":226,"className":227,"dataFootnoteBackref":35},"#user-content-fnref-1-2","Back to reference 1-2",[220],[27,229,112],{},[30,231,221,235],{"href":232,"ariaLabel":233,"className":234,"dataFootnoteBackref":35},"#user-content-fnref-1-3","Back to reference 1-3",[220],[27,236,237],{},"3",[30,239,221,243],{"href":240,"ariaLabel":241,"className":242,"dataFootnoteBackref":35},"#user-content-fnref-1-4","Back to reference 1-4",[220],[27,244,245],{},"4",[30,247,221,251],{"href":248,"ariaLabel":249,"className":250,"dataFootnoteBackref":35},"#user-content-fnref-1-5","Back to reference 1-5",[220],[27,252,253],{},"5",[30,255,221,259],{"href":256,"ariaLabel":257,"className":258,"dataFootnoteBackref":35},"#user-content-fnref-1-6","Back to reference 1-6",[220],[27,260,261],{},"6",[30,263,221,267],{"href":264,"ariaLabel":265,"className":266,"dataFootnoteBackref":35},"#user-content-fnref-1-7","Back to reference 1-7",[220],[27,268,269],{},"7",[30,271,221,275],{"href":272,"ariaLabel":273,"className":274,"dataFootnoteBackref":35},"#user-content-fnref-1-8","Back to reference 1-8",[220],[27,276,277],{},"8",[204,279,281,282,287,288,222,293,222,300,222,307,222,314,222,321,222,328],{"id":280},"user-content-fn-2","Microsoft Command Line, ",[30,283,286],{"href":284,"rel":285},"https://commandline.microsoft.com/agentic-resource-discovery-specification-ard/",[212],"\"Introducing the Agentic Resource Discovery specification\"",", accessed June 24, 2026. ",[30,289,221],{"href":290,"ariaLabel":291,"className":292,"dataFootnoteBackref":35},"#user-content-fnref-2","Back to reference 2",[220],[30,294,221,298],{"href":295,"ariaLabel":296,"className":297,"dataFootnoteBackref":35},"#user-content-fnref-2-2","Back to reference 2-2",[220],[27,299,112],{},[30,301,221,305],{"href":302,"ariaLabel":303,"className":304,"dataFootnoteBackref":35},"#user-content-fnref-2-3","Back to reference 2-3",[220],[27,306,237],{},[30,308,221,312],{"href":309,"ariaLabel":310,"className":311,"dataFootnoteBackref":35},"#user-content-fnref-2-4","Back to reference 2-4",[220],[27,313,245],{},[30,315,221,319],{"href":316,"ariaLabel":317,"className":318,"dataFootnoteBackref":35},"#user-content-fnref-2-5","Back to reference 2-5",[220],[27,320,253],{},[30,322,221,326],{"href":323,"ariaLabel":324,"className":325,"dataFootnoteBackref":35},"#user-content-fnref-2-6","Back to reference 2-6",[220],[27,327,261],{},[30,329,221,333],{"href":330,"ariaLabel":331,"className":332,"dataFootnoteBackref":35},"#user-content-fnref-2-7","Back to reference 2-7",[220],[27,334,269],{},{"title":35,"searchDepth":336,"depth":336,"links":337},2,[338,339,340,341],{"id":83,"depth":336,"text":84},{"id":147,"depth":336,"text":148},{"id":188,"depth":336,"text":189},{"id":34,"depth":336,"text":199},"2026-06-24","GitHub's June 17 agent finder release brings ARD-based discovery to Copilot, letting agents find MCP servers, skills, tools, and other resources only when a task needs them.","md","en",{},true,"/blog/2026-06-24-github-copilot-agent-finder-ard",{"title":5,"description":343},"blog/2026-06-24-github-copilot-agent-finder-ard",[352,353,354,355,356],"GitHub","Copilot","AI Agents","Developer Tools","Open Source","DqQU4gnRPjc65pduvs2m7hILsgv7KyG3U8B8gxLX7og",1784088102633]