Anthropic: the 360 agent-readiness check
Anthropic scores 63 of 100 on Ora's agent-readiness scan, a C, read 9 November 2026. Of the five surfaces an agent acts on, Ora found 1: a command line. The company that wrote MCP, scanned on a domain with no MCP server.
On 9 November 2026 the public site at anthropic.com scored 63 of 100 on Ora's agent-readiness scan, a C, in Ora's AI & ML category. Ora probes a site the way an agent would: it requests pages with the agents' own user agents, reads robots.txt, looks for the files agents read, and tries the API, MCP and payment surfaces. This check reads the act layer first, because that is what the directory records, then the door, what an agent can read, and whether the company is found and recommended. Ora's one-line summary: Anthropic offers strong discovery and SDK coverage, but lacks a published OpenAPI specification for agents to consume.
The score
| Layer | Asks | Points | Share |
|---|---|---|---|
| Usability | Can agents use it | 30 of 60 | 50% |
| Access | Can agents read it | 36 of 59 | 61% |
| Discovery | Can agents find and recommend it | 12 of 13 | 92% |
| Payments | Can agents pay | 0 of 0 | none apply |
| Total | Grade C | 63 of 100 | 63% |
What an agent can do
The surfaces an agent acts on: an API it can find and call, an MCP server, an agent card, OAuth metadata, a command line. This is the layer the directory records, so it comes first. 2 checks in this group do not apply to this site and are left out.
In the directory, Anthropic no MCP endpoint on record; the connector run of 4 November 2026 is on the entry page. Ora's MCP server check for the same domain reads fail; the two look for different things, the directory for a server that answers a handshake and lists tools, Ora for a server it can find from the site.
| Check | Result | Points | What Ora saw |
|---|---|---|---|
| MCP server / manifest mcp-server | Fail | 0 of 6 | No MCP server or manifest found |
| MCP well-known discovery mcp-well-known-discovery | Fail | 0 of 2 | No MCP server URL discovered |
| Public API with reachable endpoints public-api | Partial | 3 of 7 | API described in documentation at https://platform.claude.com but no machine-verifiable API surface confirmed. Best-of-protocols score: 3/7. |
| Public API/docs linked from homepage public-api-docs | Pass | 3 of 3 | Documentation site found at https://platform.claude.com |
| Developer portal developer-portal | Pass | 6 of 6 | Developer portal found at /docs |
| OpenAPI spec published openapi-spec | Fail | 0 of 7 | No OpenAPI/Swagger specification found |
| API catalog (RFC 9727) api-catalog-rfc9727 | Fail | 0 of 2 | No /.well-known/api-catalog found (RFC 9727) |
| A2A / agent-card a2a-agent-card | Fail | 0 of 2 | No A2A agent card found at /.well-known/agent-card.json |
| Agent discovery file agent-discovery-file | Fail | 0 of 2 | No agent discovery file found |
| OAuth 2.0 support oauth-support | Partial | 3 of 5 | OAuth mentioned in documentation at https://platform.claude.com but no OAuth or OpenID Connect endpoint responded |
| OAuth Protected Resource metadata (RFC 9728) oauth-protected-resource | Fail | 0 of 2 | No /.well-known/oauth-protected-resource found (RFC 9728) |
| auth.md exists auth-md-exists | Fail | 0 of 2 | No /auth.md found at site root |
| WebMCP support webmcp | Fail | 0 of 5 | No WebMCP support detected - no document.modelContext / navigator.modelContext usage found (scanned 40 of 40 same-origin script bundle(s) for modelContext registrations) |
| NLWeb /ask endpoint nlweb-ask | Fail | 0 of 1 | No NLWeb-conformant /ask endpoint found via GET or POST |
| CLI tool available cli-tool | Pass | 3 of 3 | CLI package found on npm: @anthropic-ai/sandbox-runtime |
| Multi-language SDK packages rest-sdk-packages | Pass | 3 of 3 | SDK packages found across 4 ecosystems: npm, pypi, go, rubygems |
| JSON error responses json-error-responses | Pass | 4 of 4 | no detail published |
At the door
What the site answers when a request arrives with an agent's user agent, and what robots.txt says to agents.
| Check | Result | Points | What Ora saw |
|---|---|---|---|
| Not blocked by bot detection bot-detection | Pass | 2 of 2 | Site accessible to 4 agent user-agents (ChatGPT-User, OAI-SearchBot, Claude-User, PerplexityBot). |
| Agent crawler reachability agent-crawler-reachability | Pass | 2 of 2 | Reachable to every agent we tested - ChatGPT-User: reachable, OAI-SearchBot: reachable, Claude-User: reachable, PerplexityBot: reachable |
| robots.txt AI crawler policy robots-ai-policy-quality | Pass | 2 of 2 | AI search crawlers: allowed in 3 of 3 checks (3 crawlers on 1 page). AI training crawlers: allowed in 2 of 2 checks (2 crawlers on 1 page), not scored. |
| robots.txt agent-user policy robots-agent-user-policy | Pass | 2 of 2 | No applicable crawl or usage restriction found for 3 user-triggered agents (chatgpt-user, claude-user, perplexity-user) on 1 public page: https://anthropic.com/. Declared policy only; |
| Content behind auth docs-auth-gate | Pass | 2 of 2 | All 5 sampled pages are publicly readable (5 with substantive content) |
| Homepage not hidden from search noindex-directives | Pass | 1 of 1 | No noindex on the homepage: no robots, googlebot or bingbot meta tag and no X-Robots-Tag header hides it from search. |
| Redirect hygiene redirect-hygiene | Pass | 1 of 1 | no detail published |
| Web Bot Auth directory web-bot-auth-directory | Fail | 0 of 2 | No /.well-known/http-message-signatures-directory found |
What an agent can read
Whether the text is in the first response, what the site publishes for agents, and how it describes itself to them.
| Check | Result | Points | What Ora saw |
|---|---|---|---|
| Content without JavaScript content-no-js | Pass | 3 of 3 | Homepage: 1599 chars, semantic headings (1 H1 + 2 H2s + 7 H3s), 5.9% content ratio. 5 of 5 sampled inner pages have text without JavaScript. |
| Page token budget page-token-budget | Pass | 1 of 1 | All 6 measured pages fit an agent context budget (largest ~4K tokens) |
| Sitemap exists sitemap | Pass | 2 of 2 | Valid sitemap found at https://www.anthropic.com/sitemap.xml with 586 entries |
| Sitemap freshness (lastmod) sitemap-lastmod | Pass | 1 of 1 | no detail published |
| llms.txt exists llms-txt-exists | Pass | 1 of 1 | Found the llms.txt at https://platform.claude.com/llms.txt. |
| llms.txt formatting llms-txt-formatting | Partial | 1 of 2 | The llms.txt is well-formatted with markdown links, but at 97,938 characters it exceeds the 30,000-character recommendation for a navigation index. |
| llms.txt links resolve llms-txt-links-resolve | Pass | 2 of 2 | no detail published |
| Markdown agent docs markdown-negotiation | Fail | 0 of 1 | Missing markdown content negotiation. Homepage returned text/html when probed with Accept: text/markdown (expected text/markdown), and none of the well-known root paths (/llms.md, /auth.md, /agents.md, /developers.md, |
| Markdown URL fallback markdown-url-fallback | Fail | 0 of 2 | Homepage does not support the .md suffix. Probed https://anthropic.com/index.md and it did not return markdown (expected text/markdown content-type or a heading-led non-HTML body). |
| Bot-UA markdown serving agent-ua-markdown | Fail | 0 of 1 | No probed bot User-Agent (ChatGPT-User, Claude-User, Perplexity-User) receives markdown when requesting HTML. Optional: detect AI-bot UAs server-side and serve them a markdown representation directly. |
| Agent mode view agent-mode-view | Fail | 0 of 2 | ?mode=agent returns same content as homepage (no dedicated agent view) |
| JSON-LD structured data json-ld | Fail | 0 of 4 | No JSON-LD structured data found on homepage |
| Organization schema completeness org-schema-completeness | Fail | 0 of 2 | No JSON-LD found - Organization schema missing |
| JSON-LD entity linking (sameAs) json-ld-entity-linking | Fail | 0 of 2 | No JSON-LD found - no entity linking possible |
| Schema type breadth schema-type-breadth | Fail | 0 of 2 | No extended schema types found - AI can only answer basic questions about this entity |
| Metadata completeness metadata-completeness | Pass | 2 of 2 | All metadata signals present: canonical URL, lang="en", og:image, og:type |
| Agent instruction / when-to-use agent-instruction | Partial | 2 of 3 | When-to-use guidance found at https://platform.claude.com |
Found and recommended
Whether an assistant can find the company by name, confirm what it is, and see it in the registries agents read. 2 checks in this group do not apply to this site and are left out.
| Check | Result | Points | What Ora saw |
|---|---|---|---|
| Brand name discoverability brand-search-accuracy | Pass | 3 of 3 | anthropic.com ranks #2 for "Anthropic" (searched your brand name alone: no main product term from your homepage qualified) |
| Wikipedia / Wikidata entity presence wikipedia-presence | Partial | 2 of 4 | Wikidata Q116758847 (Anthropic) verified - draft a Wikipedia page with cited references to complete knowledge graph coverage |
| Developer resource discoverability agentic-search-specific | Pass | 3 of 3 | no detail published |
| NPM/PyPI SDK package npm-sdk-package | Pass | 1 of 1 | no detail published |
| ChatGPT app listed chatgpt-app-listed | Fail | 0 of 2 | Not found in ChatGPT app directory |
| Listed on skills.sh skills-sh-listed | Pass | 1 of 1 | no detail published |
| ARD discovery ard-catalog | Fail | 0 of 1 | No /.well-known/ard.json, no same-site rel="ard" link, and no legacy /.well-known/ai-catalog.json |
Payments
The agent payment protocols Ora probes for. A site that sells nothing has nothing here, and Ora scores the layer out of zero when none applies. None of the 6 payment checks applied to anthropic.com.
The fixes worth most points
Ora attaches an estimate to each failing or partial check: how many points the site would gain by passing it. These are the 5 with the largest estimates for Anthropic, with what Ora observed. The wording of each fix is Ora's; the 28 checks it runs on an MCP server are listed with their layer and tier.
- MCP server / manifest: fail, 0 of 6, about 4.4 points to gain. Ora saw: No MCP server or manifest found
- OpenAPI spec published: fail, 0 of 7, about 4 points to gain. Ora saw: No OpenAPI/Swagger specification found
- WebMCP support: fail, 0 of 5, about 3.7 points to gain. Ora saw: No WebMCP support detected - no document.modelContext / navigator.modelContext usage found (scanned 40 of 40 same-origin script bundle(s) for modelContext registrations)
- MCP Apps support: fail, 0 of 4, about 3 points to gain. Ora saw: No MCP Apps support detected - this product has an in-agent UI surface but exposes no ui:// resources or tool UI metadata for agents to render.
- Public API with reachable endpoints: partial, 3 of 7, about 3 points to gain. Ora saw: API described in documentation at https://platform.claude.com but no machine-verifiable API surface confirmed. Best-of-protocols score: 3/7.
Our read
Anthropic publishes the protocol and not the server: Ora found no MCP server, manifest or first-party package for anthropic.com, which costs 6 points and is the largest single deduction on this page. The developer surfaces are on platform.claude.com, where Ora found an llms.txt and API documentation with no machine-verifiable surface, OAuth described but no OAuth or OpenID Connect endpoint answering, and no OpenAPI specification; the surfaces that count are @anthropic-ai/sandbox-runtime on npm and SDKs in four registries, npm, PyPI, Go and rubygems. The reading side is clean in the way a small corporate site can be, 1,599 characters at a 5.9 percent text ratio with one H1, two H2s and seven H3s, an open door, five readable sampled pages and a second-place brand search, but no JSON-LD. None of the 40 script bundles registers a WebMCP tool. The maker of MCP reads here as a company without one.
Test your own surfaces
The scan above is free and needs no account: enter a domain at ora.ai and read the same four layers for your own site. For an MCP server, Ora scans the server URL itself and runs 28 of its 132 public checks on it, which is why it is the check this directory recommends; the reasons, the limits and the alternatives are on their own page. The command below runs the same audit from a terminal and exits with 1 under the score you set, so it can gate a deploy.
npx ax@0.10 audit https://example.com --min-score 70All 360 checks, one company a day. Corrections to the corrections page.