Agent MCP Directory

PagerDuty: the 360 agent-readiness check

PagerDuty scores 70 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. Markdown on request and a live server, with the specification still to publish.

On 9 November 2026 the public site at pagerduty.com scored 70 of 100 on Ora's agent-readiness scan, a B, in Ora's Infrastructure 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: PagerDuty offers strong developer discoverability and SDK packages, but lacks a published OpenAPI specification for agents to call its API.

The score

PagerDuty on Ora, read 2026-11-09: points per layer, with the share of each layer's maximum. 41 checks pass, 10 are partial, 41 fail and 40 do not apply to this site.
LayerAsksPointsShare
UsabilityCan agents use it47 of 8158%
AccessCan agents read it46 of 6274%
DiscoveryCan agents find and recommend it14 of 1688%
PaymentsCan agents pay0 of 0none apply
TotalGrade B70 of 10070%

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, PagerDuty 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 pagerduty.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.pagerduty.com/mcp; 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-discoveryPartial1 of 2MCP server at https://mcp.pagerduty.com/mcp - list its server card, hosted on your own domain, in /.well-known/ai-catalog.json so MCP clients can discover it
Public API with reachable endpoints public-apiPass7 of 7REST API documentation found at https://docs.pagerduty.com/get-started.md. GraphQL endpoint at https://api.pagerduty.com/graphql is reachable; introspection requires authentication (API key / OAuth),
Public API/docs linked from homepage public-api-docsPass3 of 3Documentation site found at https://docs.pagerduty.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://app.pagerduty.com/global/oauth/anonymous
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 22 of 22 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 in llms.txt
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-responsesFail0 of 4API does not return JSON error responses (or no API detected)

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 pagerduty.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 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://pagerduty.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 pagerduty.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: 6712 chars with H1, but 4.5% 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 ~3K tokens)
Sitemap exists sitemapPass2 of 2Valid sitemap found at https://www.pagerduty.com/sitemap_index.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://docs.pagerduty.com/llms.txt.
llms.txt formatting llms-txt-formattingPartial1 of 2The llms.txt contains markdown links and has 211 lines, but it doesn't start with a markdown heading.
llms.txt links resolve llms-txt-links-resolvePass2 of 2no detail published
Markdown agent docs markdown-negotiationPass1 of 1Returns markdown when requested via Accept header
Markdown URL fallback markdown-url-fallbackFail0 of 2Homepage does not support the .md suffix. Probed https://pagerduty.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-ldPartial3 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-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.

Found and recommended: 9 checks Ora ran on pagerduty.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-accuracyPass3 of 3pagerduty.com ranks #1 for "PagerDuty incident management"
Wikipedia / Wikidata entity presence wikipedia-presencePass4 of 4Wikipedia "PagerDuty" and Wikidata Q48989804 both verified - domain confirmed on both sources
Developer resource discoverability agentic-search-specificPass3 of 3no detail published
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-packagePass1 of 1no detail published
ChatGPT app listed chatgpt-app-listedFail0 of 2Not found in ChatGPT app directory
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 (73 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 pagerduty.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 PagerDuty, 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
  • Scoped permissions: fail, 0 of 5, about 2.7 points to gain. Ora saw: No declared OAuth scopes, security schemes, or scoped-permission documentation 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 22 of 22 same-origin script bundle(s) for modelContext registrations)
  • JSON error responses: fail, 0 of 4, about 2.2 points to gain. Ora saw: API does not return JSON error responses (or no API detected)
  • GraphQL typed error model: fail, 0 of 3, about 1.6 points to gain. Ora saw: GraphQL introspection auth-gated and no typed graphql error model documentation found on GraphQL-tagged pages

Our read

PagerDuty's act layer is the fintech shape in an infrastructure company: live surfaces, thin description. The MCP server at mcp.pagerduty.com/mcp answers and requires authentication, OAuth authorization server metadata is at app.pagerduty.com, REST documentation is at docs.pagerduty.com with an llms.txt beside it, SDKs are in four registries and the site returns markdown when an agent asks for it with an Accept header, a row most companies here fail. Ora found no OpenAPI specification and no declared scopes, together about 6.5 points, endpoints that do not answer errors as JSON, a GraphQL endpoint whose introspection is gated, and no WebMCP registration in 22 script bundles. The reading side is sound, with a 6,712-character home page just under the 5 percent text target and an Organization block missing only its description, and the domain ranks first for its product term. A specification is the one file between this and an A.

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.