Agent MCP Directory

Zoom: the 360 agent-readiness check

Zoom scores 66 of 100 on Ora's agent-readiness scan, a C, read 9 November 2026. Of the five surfaces an agent acts on, Ora found 2: a public API, OAuth. Sixty-four skills published, and no server where an agent could call them.

On 9 November 2026 the public site at zoom.us scored 66 of 100 on Ora's agent-readiness scan, a C, in Ora's Communication & Support 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: Zoom offers solid discoverability and SDK packages, but lacks a published OpenAPI specification for agents to call its API.

The score

Zoom on Ora, read 2026-11-09: points per layer, with the share of each layer's maximum. 33 checks pass, 10 are partial, 41 fail and 48 do not apply to this site.
LayerAsksPointsShare
UsabilityCan agents use it34 of 7645%
AccessCan agents read it43 of 5677%
DiscoveryCan agents find and recommend it14 of 1593%
PaymentsCan agents pay0 of 0none apply
TotalGrade C66 of 10066%

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, Zoom sign-in required, tools not seen, not counted; 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.

What an agent can do: 19 checks Ora ran on zoom.us, read 2026-11-09. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
MCP server / manifest mcp-serverFail0 of 6No MCP server or manifest found
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://docs.zoom.us but no machine-verifiable API surface confirmed. GraphQL endpoint at https://api.zoom.us/v1/graphql is reachable;
Public API/docs linked from homepage public-api-docsPass3 of 3Documentation site found at https://docs.zoom.us
Developer portal developer-portalPass6 of 6Developer portal found at /developer
OpenAPI spec published openapi-specFail0 of 7No OpenAPI/Swagger specification found
API catalog (RFC 9727) api-catalog-rfc9727Partial1 of 2api-catalog linkset[0] has no 'item' entries
A2A / agent-card a2a-agent-cardFail0 of 2No A2A agent card found at /.well-known/agent-card.json
Agent discovery file agent-discovery-filePass2 of 2Agent Skills index (agentskills.io) found at /.well-known/agent-skills/index.json with 64 skill(s)
OAuth 2.0 support oauth-supportPass5 of 5OpenID Connect discovery endpoint found at https://zoom.us
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-askFail0 of 1No NLWeb-conformant /ask endpoint found via GET or POST
CLI tool available cli-toolFail0 of 3No CLI tool found
Multi-language SDK packages rest-sdk-packagesPartial1 of 3SDK package found only in npm
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.

At the door: 8 checks Ora ran on zoom.us, 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-detectionPass2 of 2Site accessible to 4 agent user-agents (ChatGPT-User, OAI-SearchBot, Claude-User, PerplexityBot).
Agent crawler reachability agent-crawler-reachabilityPass2 of 2Reachable to every agent we tested - ChatGPT-User: reachable, OAI-SearchBot: reachable, Claude-User: reachable, PerplexityBot: reachable
robots.txt AI crawler policy robots-ai-policy-qualityPass2 of 2AI search crawlers: allowed in 12 of 12 checks (3 crawlers on 4 pages). AI training crawlers: allowed in 8 of 8 checks (2 crawlers on 4 pages), 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://zoom.us/. Declared policy only;
Content behind auth docs-auth-gatePass2 of 2All 5 sampled pages are publicly readable (5 with substantive content)
Homepage not hidden from search noindex-directivesPass1 of 1No noindex on the homepage: no robots, googlebot or bingbot meta tag and no X-Robots-Tag header hides it from search.
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. 2 checks in this group do not apply to this site and are left out.

What an agent can read: 15 checks Ora ran on zoom.us, read 2026-11-09. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
Content without JavaScript content-no-jsPass3 of 3Homepage: 8293 chars, semantic headings (1 H1 + 6 H2s + 13 H3s), 6.7% content ratio. 5 of 5 sampled inner pages have text without JavaScript.
Page token budget page-token-budgetPass1 of 1All 6 measured pages fit an agent context budget (largest ~6K tokens)
Sitemap exists sitemapPass2 of 2Valid sitemap found at https://zoom.us/sitemap.xml with 5454 entries
Sitemap freshness (lastmod) sitemap-lastmodFail0 of 1None of the 500 sampled sitemap entries carries a lastmod date. Add <lastmod> (W3C datetime) so agents can prioritize fresh content.
llms.txt exists llms-txt-existsPartial0 of 1A file is present at https://docs.zoom.us/.well-known/llms.txt, but it returns an HTML page rather than a plain-text llms.txt.
llms.txt formatting llms-txt-formattingFail0 of 2No llms.txt found to evaluate quality
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://zoom.us/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-markdownFail0 of 1No 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-viewFail0 of 2?mode=agent returns same content as homepage (no dedicated agent view)
JSON-LD structured data json-ldPartial3 of 4JSON-LD Person found - missing description, url, and one of sameAs / jobTitle / worksFor on this entity
JSON-LD entity linking (sameAs) json-ld-entity-linkingPass2 of 2no detail published
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-instructionPass3 of 3no detail published

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 zoom.us, read 2026-11-09. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
Brand name discoverability brand-search-accuracyPass3 of 3zoom.us ranks #5 for "Zoom UCaaS" but is not in the top 10 for "Zoom Unified Communications"
Wikipedia / Wikidata entity presence wikipedia-presencePartial2 of 4Wikipedia "Zoom (software)" verified - create a Wikidata item with P856 (official website) = zoom.us to complete knowledge graph coverage
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. None of the 6 payment checks applied to zoom.us.

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 Zoom, 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.

  • OpenAPI spec published: fail, 0 of 7, about 4.2 points to gain. Ora saw: No OpenAPI/Swagger specification found
  • MCP server / manifest: fail, 0 of 6, about 3.5 points to gain. Ora saw: No MCP server or manifest found
  • Scoped permissions: fail, 0 of 5, about 2.9 points to gain. Ora saw: No declared OAuth scopes, security schemes, or scoped-permission documentation found
  • WebMCP support: fail, 0 of 5, about 2.9 points to gain. Ora saw: No WebMCP support detected - no document.modelContext / navigator.modelContext usage found
  • MCP Apps support: fail, 0 of 4, about 2.3 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.

Our read

Zoom publishes 64 agent skills, the most in this directory, and no MCP server: Ora found no endpoint, manifest or first-party package, which costs 6 points, and the skills index at /.well-known/agent-skills/index.json is the one agent file the domain gets right. The rest of the act layer is thin for a company whose meetings every assistant wants to join, with the API described at docs.zoom.us without a machine-verifiable surface or an OpenAPI specification, neither a CLI nor declared scopes, and a single SDK on npm; OpenID Connect discovery on zoom.us is the surface that counts. Two files are the wrong kind: the llms.txt at docs.zoom.us/.well-known/llms.txt returns an HTML page, and the JSON-LD on the home page describes a Person. The home page itself reads well, 8,293 characters at a 6.7 percent text ratio with one H1, six H2s and thirteen H3s, and five of five sampled pages have text. The server is the gap.

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.