McKesson: 67 of 100 on Ora's agent-readiness scan

The score

McKesson is a pharmaceutical distributor and health technology company based in Texas.

• 67of 100, grade C
  Ora's agent-readiness scan of mckesson.com, read 9 November 2026.
• 9Discovery, of 10
  Whether assistants find the company: search presence, Wikipedia and Wikidata, catalogues.
• 16Access, of 39
  Whether they can read it: the door, text without JavaScript, llms.txt, structured data.
• 18Usability, of 24
  Whether they can act through it: an MCP server, an API with a specification, sign-in for agents.
• 0Payments, of 0
  No check in this layer applied to the site.

79 percent of the 132,085 domains Ora ranks score under 60, and the average score is 44.

Ora's one-line summary: Sitemap and robots.txt are well-configured, but WebMCP support is missing.

What an assistant meets at the door

Before an assistant can read, compare or buy, it has to get in. These rows are the door: whether the bot shield lets the main agents through, what robots.txt tells the search, training and user-triggered agents, and whether the home page has text without running JavaScript.

What it can read, and what it can do

The reading layer is what an assistant takes away from the pages: a text file written for it, markdown on request, structured data about the company, a sitemap. The act layer is whether it can do anything through a published interface rather than by clicking through the site.

The six payment checks did not apply on this read: Ora did not read the site as a shop.

Three fixes to hand to the web team

Ora estimates how many points each open check would return. These are the largest on this read, in Ora's words where it gave them, so a leader can hand the list over without translating it.

1. WebMCP support, worth about 9.3 points by Ora's estimate: No WebMCP support detected - no tool-attribute forms and no document.modelContext / navigator.modelContext usage found (scanned 5 of 5 same-origin script bundle(s) for modelContext registrations).
2. JSON-LD structured data, worth about 3.4 points by Ora's estimate: No JSON-LD structured data found on homepage.
3. Agent instruction / when-to-use, worth about 2.6 points by Ora's estimate: No agent instruction file with when-to-use guidance found.

Our read

McKesson is the best-read health distributor in this series, and a C on a short denominator. Six AI agent user agents reach mckesson.com, robots.txt permits every training and search pair Ora checked, the home page gives 2,281 characters at an 8.6 percent text ratio under a proper heading tree, and the sitemap lists 1,009 pages, so the Access layer reads 16 of 39; there is no JSON-LD and no llms.txt, and the metadata lacks og:type. The act layer is thin by nature for a distributor, which is why the Usability layer has a maximum of 24 and the WebMCP estimate of 9.3 points means less than it looks; OpenID Connect discovery at auth.mckesson.com is the one surface Ora found, with no public API, no developer portal and no MCP server. The Discovery layer is 9 of 10, with Wikipedia and Wikidata confirmed. An Organization block is the fix with the most points a web team can ship in a day; the rest of this page is already in order.

Test your own site

Run the same scan on your own domain at ora.ai. The score, the layers and the fixes on this page come from its public result for mckesson.com; a scan of a public site takes a few minutes and needs no account.

• Scan your domain on OraThe same checks, the same scoring, on your own site.
• The self-check, 18 questionsWhat to ask for, in business terms, before the scan.
• All the 360 checksThe other companies in this series, newest first.