Agent MCP Directory

Calendly: the 360 agent-readiness check

Calendly scores 72 of 100 on Ora's agent-readiness scan, a B, read 9 November 2026. Of the five surfaces an agent acts on, Ora found 2: a public API, OAuth. A live MCP server, with neither a specification nor an SDK around it.

On 9 November 2026 the public site at calendly.com scored 72 of 100 on Ora's agent-readiness scan, a B, in Ora's Productivity 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: Calendly offers a published MCP server and passing access controls, but lacks a published OpenAPI specification for agents to discover its endpoints.

The score

Calendly on Ora, read 2026-11-09: points per layer, with the share of each layer's maximum. 38 checks pass, 15 are partial, 37 fail and 42 do not apply to this site.
LayerAsksPointsShare
UsabilityCan agents use it64 of 8377%
AccessCan agents read it44 of 6172%
DiscoveryCan agents find and recommend it11 of 1861%
PaymentsCan agents pay0 of 0none apply
TotalGrade B72 of 10072%

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, Calendly 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 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: 17 checks Ora ran on calendly.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 6MCP server detected at https://mcp.calendly.com; it requires authentication. Presence is verified (5/6), but Ora could not inspect its tools or verify access scopes without credentials.
MCP well-known discovery mcp-well-known-discoveryPass2 of 2MCP server referenced in llms.txt
Public API with reachable endpoints public-apiPass7 of 7REST API documentation found at /reference. Best-of-protocols score: 7/7.
Public API/docs linked from homepage public-api-docsPass3 of 3Documentation site found at https://developer.calendly.com
Developer portal developer-portalPass6 of 6Developer portal found at /docs
OpenAPI spec published openapi-specFail0 of 7No OpenAPI/Swagger specification found
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 5OAuth authorization server metadata at https://calendly.com/
OAuth Protected Resource metadata (RFC 9728) oauth-protected-resourcePass2 of 2no detail published
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 (scanned 1 of 1 same-origin script bundle(s) for modelContext registrations)
NLWeb /ask endpoint nlweb-askFail0 of 1No NLWeb-conformant /ask endpoint found via GET or POST
CLI tool available cli-toolPartial2 of 3CLI tool mentioned at https://developer.calendly.com
Multi-language SDK packages rest-sdk-packagesFail0 of 3No SDK packages found across language ecosystems
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 calendly.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-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 18 of 18 checks (3 crawlers on 6 pages). AI training crawlers: allowed in 12 of 12 checks (2 crawlers on 6 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://calendly.com/. 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.

What an agent can read: 17 checks Ora ran on calendly.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-jsPartial2 of 3Homepage: 9717 chars with H1, but 1.2% content ratio is below the 5% target. 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 ~4K tokens)
Sitemap exists sitemapPass2 of 2Valid sitemap found at https://calendly.com/marketing-site/sitemap.xml with 1073 entries
Sitemap freshness (lastmod) sitemap-lastmodPass1 of 1no detail published
llms.txt exists llms-txt-existsPass1 of 1Found the llms.txt at https://developer.calendly.com/llms.txt.
llms.txt formatting llms-txt-formattingPass2 of 2The llms.txt is well-formatted: 78 lines with markdown links, 11,889 characters in total.
llms.txt links resolve llms-txt-links-resolvePass2 of 2no detail published
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://calendly.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-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-ldPartial2 of 4JSON-LD Organization found - missing description on this entity
Organization schema completeness org-schema-completenessPartial1 of 2Organization schema found but missing: contactPoint, address
JSON-LD entity linking (sameAs) json-ld-entity-linkingPartial1 of 2Entity linking to linkedin.com - add more authority profiles (Wikipedia, Wikidata, LinkedIn, GitHub)
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://developer.calendly.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.

Found and recommended: 9 checks Ora ran on calendly.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-accuracyPartial1 of 3calendly.com ranks #7 for "Calendly" (searched your brand name alone: no main product term from your homepage qualified)
Wikipedia / Wikidata entity presence wikipedia-presencePass4 of 4Wikipedia "Calendly" and Wikidata Q111946817 both verified - domain confirmed on both sources
Developer resource discoverability agentic-search-specificPartial1 of 3In a search for your API docs, none of the 10 results is your official docs. In a search for your MCP server, SDK or CLI, we found your MCP server at #2 (https://developer.calendly.com/docs/mcp/calendly-mcp-server)
Listed in MCP registries mcp-registry-listedFail0 of 1No verified entry in the official MCP Registry or on Smithery, and no npm or PyPI package of yours that runs as an MCP server. To pass,
NPM/PyPI SDK package npm-sdk-packageFail0 of 1No NPM or PyPI SDK package found
ChatGPT app listed chatgpt-app-listedPass2 of 2no detail published
Registry branding registry-brandingFail0 of 2No registry branding (name, icon, description) found
Listed on skills.sh skills-sh-listedFail0 of 1No official skills self-published on skills.sh (95 community skills with potential relation to this domain found, but only self-published official skills count)
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 calendly.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 Calendly, 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 3.8 points to gain. Ora saw: No OpenAPI/Swagger specification found
  • WebMCP support: fail, 0 of 5, about 2.7 points to gain. Ora saw: No WebMCP support detected - no document.modelContext / navigator.modelContext usage found (scanned 1 of 1 same-origin script bundle(s) for modelContext registrations)
  • Developer resource discoverability: partial, 1 of 3, about 2.5 points to gain. Ora saw: In a search for your API docs, none of the 10 results is your official docs. In a search for your MCP server, SDK or CLI, we found your MCP server at #2 (https://developer.calendly.com/docs/mcp/calendly-mcp-server)
  • Brand name discoverability: partial, 1 of 3, about 2.5 points to gain. Ora saw: calendly.com ranks #7 for "Calendly" (searched your brand name alone: no main product term from your homepage qualified)
  • Multi-language SDK packages: fail, 0 of 3, about 1.6 points to gain. Ora saw: No SDK packages found across language ecosystems

Our read

Calendly's act layer is live at the centre and empty at the edges. The MCP server at mcp.calendly.com answers and requires authentication, llms.txt on the developer host references it, OAuth authorization server metadata is on calendly.com and the REST documentation at developer.calendly.com scores 7 of 7. Around that Ora found no OpenAPI specification, no SDK package in any language registry and a CLI that is mentioned rather than published, about 6 points, and the one script bundle registers no WebMCP tool. Discovery is the weakest layer at 11 of 18: calendly.com ranks seventh for its own name, and in a search for its API documentation none of the ten results is the official site. The home page gives 9,717 characters at a 1.2 percent text ratio, and the Organization block lacks its description. A scheduling tool is the thing agents will be asked to use most; a specification and an SDK would make the server easier to reach than the page.

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.