Agent MCP Directory

OpenAI: the 360 agent-readiness check

OpenAI scores 60 of 100 on Ora's agent-readiness scan, a C, read 9 November 2026. Of the five surfaces an agent acts on, Ora found 3: a public API, OAuth, a command line. A challenge page in front of the company whose crawler every site names.

On 9 November 2026 the public site at openai.com scored 60 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: OpenAI offers strong developer SDK and discovery presence, but lacks WebMCP support and MCP Apps UI resources for agents.

The score

OpenAI on Ora, read 2026-11-09: points per layer, with the share of each layer's maximum. 23 checks pass, 14 are partial, 39 fail and 56 do not apply to this site.
LayerAsksPointsShare
UsabilityCan agents use it31 of 6250%
AccessCan agents read it29 of 5454%
DiscoveryCan agents find and recommend it14 of 1688%
PaymentsCan agents pay0 of 0none apply
TotalGrade C60 of 10060%

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.

In the directory, OpenAI 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 partial; 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.

What an agent can do: 19 checks Ora ran on openai.com, read 2026-11-09. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
MCP server / manifest mcp-serverPartial5 of 6First-party MCP server published by product org (npm, @openai/mcp-extensions, 20280 score). Add live handshake at /.well-known/mcp for full credit.
MCP well-known discovery mcp-well-known-discoveryFail0 of 2No MCP server URL discovered
Public API with reachable endpoints public-apiPass7 of 7API described in documentation at https://developers.openai.com but no machine-verifiable API surface confirmed. GraphQL endpoint at https://openai.com/graphql is reachable;
Public API/docs linked from homepage public-api-docsPass3 of 3Documentation site found at https://developers.openai.com
Developer portal developer-portalPass6 of 6Developer documentation portal found at https://developers.openai.com
OpenAPI spec published openapi-specPartial5 of 7OpenAPI spec published on GitHub at https://raw.githubusercontent.com/openai/openai-openapi/main/openapi.yaml
API catalog (RFC 9727) api-catalog-rfc9727Fail0 of 2No /.well-known/api-catalog found (RFC 9727)
A2A / agent-card a2a-agent-cardFail0 of 2No A2A agent card found at /.well-known/agent-card.json
Agent discovery file agent-discovery-fileFail0 of 2No agent discovery file found
OAuth 2.0 support oauth-supportPass5 of 5OpenID Connect discovery endpoint found at https://auth.openai.com
OAuth Protected Resource metadata (RFC 9728) oauth-protected-resourceFail0 of 2No /.well-known/oauth-protected-resource found (RFC 9728)
auth.md exists auth-md-existsFail0 of 2No /auth.md found at site root
WebMCP support webmcpFail0 of 5No WebMCP support detected - no document.modelContext / navigator.modelContext usage found
NLWeb /ask endpoint nlweb-askPass1 of 1NLWeb /ask endpoint exists but requires authentication (HTTP 403, via GET)
CLI tool available cli-toolPass3 of 3CLI package found on npm: @openai/codex
Multi-language SDK packages rest-sdk-packagesPass3 of 3SDK packages found across 4 ecosystems: npm, pypi, go, rubygems
Rate limit response headers rate-limit-headersFail0 of 2GraphQL introspection auth-gated and no header convention documented on GraphQL-tagged pages
Idempotency-Key support idempotency-key-supportFail0 of 3GraphQL introspection auth-gated and no idempotency documentation found on GraphQL-tagged pages
JSON error responses json-error-responsesPass4 of 4no 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. 2 checks in this group do not apply to this site and are left out.

At the door: 6 checks Ora ran on openai.com, read 2026-11-09. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
Not blocked by bot detection bot-detectionPartial0 of 2Bot management challenged ChatGPT-User, OAI-SearchBot, Claude-User, PerplexityBot. A challenge is an identity check that verified crawlers pass,
Agent crawler reachability agent-crawler-reachabilityPartial0 of 2Bot management challenged ChatGPT-User, OAI-SearchBot, Claude-User, PerplexityBot - a challenge is an identity check verified crawlers pass, so reachability is undetermined rather than blocked (ChatGPT-User: challenged,
robots.txt AI crawler policy robots-ai-policy-qualityPass2 of 2AI 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-policyPass2 of 2No applicable crawl or usage restriction found for 3 user-triggered agents (chatgpt-user, claude-user, perplexity-user) on 1 public page: https://openai.com/. Declared policy only;
Redirect hygiene redirect-hygienePass1 of 1no detail published
Web Bot Auth directory web-bot-auth-directoryFail0 of 2No /.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. 3 checks in this group do not apply to this site and are left out.

What an agent can read: 14 checks Ora ran on openai.com, read 2026-11-09. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
Content without JavaScript content-no-jsPartial0 of 3Homepage blocked by WAF/security challenge - content not accessible to agents
Sitemap exists sitemapPass2 of 2Valid sitemap found at https://openai.com/sitemap.xml with multiple sitemaps entries
Sitemap freshness (lastmod) sitemap-lastmodPass1 of 1no detail published
llms.txt exists llms-txt-existsPass1 of 1Found the llms.txt at https://developers.openai.com/llms.txt.
llms.txt formatting llms-txt-formattingPass2 of 2The llms.txt is well-formatted: 47 lines with markdown links, 6,201 characters in total.
Markdown agent docs markdown-negotiationFail0 of 1Missing 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-fallbackFail0 of 2Homepage does not support the .md suffix. Probed https://openai.com/index.md and it did not return markdown (expected text/markdown content-type or a heading-led non-HTML body).
Agent mode view agent-mode-viewFail0 of 2No agent mode view detected at ?mode=agent (optional)
JSON-LD structured data json-ldPartial1 of 4JSON-LD found (1 block(s)) but no identity type - use SoftwareApplication, Product, Organization, Person, or Article so agents can tell what this site is
Organization schema completeness org-schema-completenessFail0 of 2No Organization type found in JSON-LD
JSON-LD entity linking (sameAs) json-ld-entity-linkingFail0 of 2No sameAs entity linking in JSON-LD - agents cannot disambiguate your brand
Schema type breadth schema-type-breadthFail0 of 2No extended schema types found - AI can only answer basic questions about this entity
Metadata completeness metadata-completenessPass2 of 2All metadata signals present: canonical URL, lang="en", og:image, og:type
Agent instruction / when-to-use agent-instructionPartial2 of 3When-to-use guidance found at https://developers.openai.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.

Found and recommended: 7 checks Ora ran on openai.com, read 2026-11-09. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
Brand name discoverability brand-search-accuracyPartial2 of 3openai.com ranks #7 for "openai" and appears 3 times in the top 10 (searched your brand name alone: we could not read a product term from your site)
Wikipedia / Wikidata entity presence wikipedia-presencePass4 of 4Wikipedia "OpenAI" and Wikidata Q21708200 both verified - domain confirmed on both sources
Developer resource discoverability agentic-search-specificPass3 of 3no detail published
NPM/PyPI SDK package npm-sdk-packagePass1 of 1no detail published
ChatGPT app listed chatgpt-app-listedPass2 of 2no detail published
Listed on skills.sh skills-sh-listedPass1 of 1no detail published
ARD discovery ard-catalogFail0 of 1No /.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. 5 checks in this group do not apply to this site and are left out.

Payments: 1 checks Ora ran on openai.com, read 2026-11-09. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
ACP - Agentic Commerce Protocol acp-supportPartial0 of 3ACP documented (AI analysis: Docs list Commerce flows in ChatGPT; checkout implied); no live protocol surface found

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 OpenAI, 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.

  • WebMCP support: fail, 0 of 5, about 3.6 points to gain. Ora saw: No WebMCP support detected - no document.modelContext / navigator.modelContext usage found
  • MCP Apps support: fail, 0 of 4, about 2.9 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.
  • GraphQL typed error model: fail, 0 of 3, about 2.2 points to gain. Ora saw: GraphQL introspection auth-gated and no typed graphql error model documentation found on GraphQL-tagged pages
  • Idempotency-Key support: fail, 0 of 3, about 2.2 points to gain. Ora saw: GraphQL introspection auth-gated and no idempotency documentation found on GraphQL-tagged pages
  • Scoped permissions: partial, 2 of 5, about 2.2 points to gain. Ora saw: Scoped permissions described at https://developers.openai.com, but no machine-readable scope declaration found (OpenAPI oauth2 scopes or RFC 9728 scopes_supported)

Our read

OpenAI's corporate domain challenges the agents that use it: bot management stopped ChatGPT-User, OAI-SearchBot, Claude-User and PerplexityBot, the home page came back as a security challenge, and the content row fails with it. The developer surfaces live on developers.openai.com and read well from there: an llms.txt, OpenID Connect discovery at auth.openai.com, @openai/codex on npm, SDKs in four registries and an OpenAPI specification that Ora credits from the GitHub repository rather than the domain. The MCP credit is a first-party package on npm, @openai/mcp-extensions, with no live endpoint at a URL Ora could discover, and scopes are described rather than declared. The JSON-LD on the home page has no identity type and the brand search places openai.com seventh for its own name. The company whose crawler is named in every robots.txt in this series is itself behind a challenge page; the checklist's door rows come first here.

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 70

All 360 checks, one company a day. Corrections to the corrections page.