Agent MCP Directory

Linear: the 360 agent-readiness check

Linear scores 69 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. Agent files done well, under a name that a search engine reads as a word.

On 9 November 2026 the public site at linear.app scored 69 of 100 on Ora's agent-readiness scan, a C, 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: Linear offers strong agent-ready discovery and a published SDK, but lacks an OpenAPI specification for its API.

The score

Linear on Ora, read 2026-11-09: points per layer, with the share of each layer's maximum. 42 checks pass, 11 are partial, 32 fail and 47 do not apply to this site.
LayerAsksPointsShare
UsabilityCan agents use it44 of 6667%
AccessCan agents read it41 of 6365%
DiscoveryCan agents find and recommend it11 of 1479%
PaymentsCan agents pay0 of 0none apply
TotalGrade C69 of 10069%

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, Linear 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 linear.app, 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.linear.app/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-discoveryPass2 of 2MCP server referenced in llms.txt
Public API with reachable endpoints public-apiPass7 of 7REST API documentation found at /api. Best-of-protocols score: 7/7.
Public API/docs linked from homepage public-api-docsPass3 of 3Documentation site found at https://linear.app
Developer portal developer-portalPass6 of 6Developer portal found at /developers
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-filePass2 of 2Agent discovery file found at /agents.md
OAuth 2.0 support oauth-supportPass5 of 5OAuth authorization server metadata at https://mcp.linear.app
OAuth Protected Resource metadata (RFC 9728) oauth-protected-resourcePass2 of 2no detail published
auth.md exists auth-md-existsFail0 of 2Path https://linear.app/auth.md returned HTML (SPA / 404 fallback), not an auth.md document
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-toolPartial2 of 3CLI tool mentioned in llms.txt
Multi-language SDK packages rest-sdk-packagesPartial1 of 3SDK package found only in npm
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 linear.app, 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://linear.app/. 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 linear.app, 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: 8822 chars with H1, but heading hierarchy skips H1 to H3; 1.3% 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 9 measured pages fit an agent context budget (largest ~2K tokens)
Sitemap exists sitemapPass2 of 2Valid sitemap found at https://linear.app/sitemap.xml with 1007 entries
Sitemap freshness (lastmod) sitemap-lastmodPass1 of 1no detail published
llms.txt exists llms-txt-existsPass1 of 1Found the llms.txt at https://linear.app/llms.txt.
llms.txt formatting llms-txt-formattingPass2 of 2The llms.txt is well-formatted: 206 lines with markdown links, 11,749 characters in total.
llms.txt links resolve llms-txt-links-resolvePass2 of 2no detail published
Markdown agent docs markdown-negotiationPass1 of 1Path-suffix markdown docs served with text/markdown content-type: /agents.md, /developers.md, /index.md
Markdown URL fallback markdown-url-fallbackPass2 of 2no detail published
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-ldFail0 of 4No JSON-LD structured data found on homepage
Organization schema completeness org-schema-completenessFail0 of 2No JSON-LD found - Organization schema missing
JSON-LD entity linking (sameAs) json-ld-entity-linkingFail0 of 2No JSON-LD found - no entity linking possible
Schema type breadth schema-type-breadthFail0 of 2No extended schema types found - AI can only answer basic questions about this entity
Metadata completeness metadata-completenessPartial1 of 23/4 metadata signals present - missing: og:type
Agent instruction / when-to-use agent-instructionFail0 of 3No agent instruction file with when-to-use guidance found

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 linear.app, 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 3linear.app ranks #9 for "Linear" (searched your brand name alone: no main product term from your homepage qualified)
Wikipedia / Wikidata entity presence wikipedia-presenceFail0 of 4No Wikipedia article or Wikidata entity found for "linear" - creating a Wikipedia page and a Wikidata item with P856 = linear.app is the highest-impact step for AI search citation coverage
Developer resource discoverability agentic-search-specificPass3 of 3no detail published
Listed in MCP registries mcp-registry-listedPass1 of 1no detail published
NPM/PyPI SDK package npm-sdk-packagePass1 of 1no detail published
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-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 linear.app.

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 Linear, 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 3.7 points to gain. Ora saw: No OpenAPI/Swagger specification found
  • Scoped permissions: fail, 0 of 5, about 3.4 points to gain. Ora saw: No declared OAuth scopes, security schemes, or scoped-permission documentation found
  • WebMCP support: fail, 0 of 5, about 3.4 points to gain. Ora saw: No WebMCP support detected - no document.modelContext / navigator.modelContext usage found
  • Brand name discoverability: partial, 1 of 3, about 3.2 points to gain. Ora saw: linear.app ranks #9 for "Linear" (searched your brand name alone: no main product term from your homepage qualified)
  • JSON error responses: fail, 0 of 4, about 2.7 points to gain. Ora saw: API does not return JSON error responses (or no API detected)

Our read

Linear does the agent files better than companies ten times its size and still reads as a C. The domain serves an llms.txt and an agents.md, with markdown twins at /agents.md, /developers.md and /index.md delivered as text/markdown; the MCP server at mcp.linear.app/mcp answers and requires authentication, with OAuth metadata on the same host and the server referenced in llms.txt; the REST documentation scores 7 of 7 and an SDK is on npm. The deductions are an OpenAPI specification that is not published, endpoints that do not answer errors as JSON, no declared scopes and no WebMCP registration, about 13 points between them, plus a brand search that places linear.app ninth for a word that means something else. The home page carries no JSON-LD and skips from H1 to H3 at a 1.3 percent text ratio. The act layer is live; the specification and an Organization block are what the checklist asks for next.

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.