{"id":7041595,"date":"2026-08-19T07:46:08","date_gmt":"2026-08-19T07:46:08","guid":{"rendered":"https:\/\/peraltafinancing.com\/uncategorized\/a-uri-scheme-for-ai-agent-prompts\/"},"modified":"2026-08-19T07:46:08","modified_gmt":"2026-08-19T07:46:08","slug":"a-uri-scheme-for-ai-agent-prompts","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=7041595","title":{"rendered":"A URI Scheme for AI Agent Prompts"},"content":{"rendered":"


\n<\/p>\n

\nSo, I made some minor editorial changes, built out an MCP to demonstrate its use, and submitted my draft The prompt URI Scheme for AI Agent Sessions and Prompts<\/a>\u00a0to the IETF.\u00a0 We’ll see where this goes, it’s my first time through this process.<\/p>\n

At the same time, if you look at\u00a0AudaciousInquiry\/prompt-url: The prompt: URL scheme for AI agent session provenance<\/a>\u00a0project on GitHub, you’ll see a readily installable MCP and skill for using it in that repo.\u00a0 The skill documents one use of the MCP, to create a URL for annotating commits, and another use enabling resolution of the prompt via the MCP so that the prompt truly is a traceable link on
the machine and user account where it was run from.<\/p>\n

There should be a second skill that describes the use of the MCP to actually find the right Prompt-URL: value to use for a github checkin.\u00a0 Both the agents I use already know how to do this so I should have one of them write it up.\u00a0 By the time you see this, it might already be present in the .claude folder.<\/p>\n

For what it’s worth, GitHub Copilot reads CLAUDE.md and .claude\/skills folders so you only have to write things once for Claude and Copilot will use the tooling.\u00a0\u00a0<\/p>\n

The MCP framework is highly reusable, and eventually I will extract it from the base MCP APIs.\u00a0 It runs in node.js in three modes, as a standalone HTTP server, in stdio mode launching a server if one is not already running and connecting to it over HTTP when commands are sent to it, or via CLI where it basically does the same kind of thing.\u00a0 This makes standalone MCP testing very easy, because the framework handles transport and the rest, so you can just implement commands and get three different ways to activate them.<\/p>\n

\u00a0 \u00a0 \u00a0Keith<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"

So, I made some minor editorial changes, built out an MCP to demonstrate its use, and submitted my draft The prompt URI Scheme for AI Agent Sessions and Prompts\u00a0to the IETF.\u00a0 We’ll see where this goes, it’s my first time through this process. At the same time, if you look at\u00a0AudaciousInquiry\/prompt-url: The prompt: URL scheme […]<\/p>\n","protected":false},"author":1,"featured_media":7041596,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[96700,96697],"tags":[3038,17767,15674,126757],"dealstore":[],"offerexpiration":[],"class_list":["post-7041595","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agent","category-ai","tag-agent","tag-prompts","tag-scheme","tag-uri"],"yoast_head":"\nA URI Scheme for AI Agent Prompts - Som2ny Network<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fivemor.com\/?p=7041595\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A URI Scheme for AI Agent Prompts - Som2ny Network\" \/>\n<meta property=\"og:description\" content=\"So, I made some minor editorial changes, built out an MCP to demonstrate its use, and submitted my draft The prompt URI Scheme for AI Agent Sessions and Prompts\u00a0to the IETF.\u00a0 We’ll see where this goes, it’s my first time through this process. 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