Agent MCP Directory

Brex: the 360 agent-readiness check

Brex scores 48 of 100 on Ora's agent-readiness scan, a C, read 13 November 2026. Of the five surfaces an agent acts on, Ora found 1: a public API. An open door, a 256,923-character llms.txt, and no MCP server in front of the API.

On 13 November 2026 the public site at brex.com scored 48 of 100 on Ora's agent-readiness scan, a C, in Ora's Payments & Fintech 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: Brex offers a discoverable developer resource base and SDK packages, but lacks an MCP server and OpenAPI spec for agents to connect through.

The score

Brex on Ora, read 2026-11-13: points per layer, with the share of each layer's maximum. 35 checks pass, 5 are partial, 36 fail and 62 do not apply to this site.
LayerAsksPointsShare
UsabilityCan agents use it12 of 5422%
AccessCan agents read it29.17 of 4663%
DiscoveryCan agents find and recommend it10 of 1377%
PaymentsCan agents pay0 of 0none apply
TotalGrade C48 of 10048%

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.

Brex is not in the directory's edition of 4 November 2026: no source read for that run named an MCP endpoint for brex.com, so the MCP evidence here is Ora's alone. Its MCP server check reads fail.

What an agent can do: 16 checks Ora ran on brex.com, read 2026-11-13. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
MCP server / manifest mcp-serverFail0 of 10No 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-apiPass8 of 8REST API documentation found at /api. Best-of-protocols score: 7/7.
Public API/docs linked from homepage public-api-docsPass4 of 4Documentation site found at https://developer.brex.com
Developer portal developer-portalPass5 of 5Developer portal found at https://developer.brex.com
OpenAPI spec published openapi-specFail0 of 8No 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-supportFail0 of 5No OAuth 2.0 or OpenID Connect support detected
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 8No WebMCP support detected - no document.modelContext / navigator.modelContext usage found (scanned 52 of 52 same-origin script bundle(s) for modelContext registrations)
NLWeb /ask endpoint nlweb-askPass1 of 1NLWeb /ask endpoint exists but requires authentication (HTTP 403, via POST)
CLI tool available cli-toolFail0 of 3No CLI tool found
JSON error responses json-error-responsesFail0 of 3API 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 brex.com, read 2026-11-13. 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-reachabilityPass1 of 1Reachable to every agent we tested - ChatGPT-User: reachable, OAI-SearchBot: reachable, Claude-User: reachable, PerplexityBot: reachable
robots.txt AI crawler policy robots-ai-policy-qualityPass1 of 1AI 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-policyPass1 of 1No applicable crawl or usage restriction found for 3 user-triggered agents (chatgpt-user, claude-user, perplexity-user) on 1 public page: https://brex.com/. Declared policy only;
Content behind auth docs-auth-gatePass1 of 1All 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: 14 checks Ora ran on brex.com, read 2026-11-13. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
Content without JavaScript content-no-jsPartial1.67 of 5Homepage: 5588 chars with H1, but heading hierarchy skips H2 to H4; 4.4% content ratio is below the 5% target. Sampled pages with almost no text without JavaScript (2 of 9):.
Page token budget page-token-budgetPass1 of 1All 13 measured pages fit an agent context budget (largest ~9K tokens)
Sitemap exists sitemapPass1 of 1Valid sitemap found at https://www.brex.com/sitemap/sitemap.xml with 1493 entries
llms.txt exists llms-txt-existsPass1 of 1Found the llms.txt at https://developer.brex.com/llms.txt.
llms.txt formatting llms-txt-formattingFail0 of 2The llms.txt at https://brex.com/llms.txt is 256,923 characters. Agents truncate an llms.txt past 100,000 characters, so the links after that point are never read.
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: /api.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.
JSON-LD structured data json-ldPartial0.5 of 2JSON-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 1No Organization type found in JSON-LD
JSON-LD entity linking (sameAs) json-ld-entity-linkingFail0 of 1No sameAs entity linking in JSON-LD - agents cannot disambiguate your brand
Metadata completeness metadata-completenessPass1 of 1All metadata signals present: canonical URL, lang="en-US", og:image, og:type
Agent instruction / when-to-use agent-instructionPass1 of 1no 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: 6 checks Ora ran on brex.com, read 2026-11-13. The last column is Ora's own observation where it published one.
CheckResultPointsWhat Ora saw
Brand name discoverability brand-search-accuracyPartial1 of 3brex.com ranks #7 for "Brex" (searched your brand name alone: no main product term from your homepage qualified)
Developer resource discoverability agentic-search-specificPass4 of 4no 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-listedFail0 of 1No official skills self-published on skills.sh (14 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 brex.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 Brex, 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.

  • MCP server / manifest: fail, 0 of 10, about 8.2 points to gain. Ora saw: No MCP server or manifest found
  • WebMCP support: fail, 0 of 8, about 6.6 points to gain. Ora saw: No WebMCP support detected - no document.modelContext / navigator.modelContext usage found (scanned 52 of 52 same-origin script bundle(s) for modelContext registrations)
  • OpenAPI spec published: fail, 0 of 8, about 5.8 points to gain. Ora saw: No OpenAPI/Swagger specification found
  • OAuth 2.0 support: fail, 0 of 5, about 4.1 points to gain. Ora saw: No OAuth 2.0 or OpenID Connect support detected
  • Scoped permissions: fail, 0 of 5, about 4.1 points to gain. Ora saw: No declared OAuth scopes, security schemes, or scoped-permission documentation found

Our read

Brex has the API and none of the plumbing that lets an agent pick it up unaided. Ora found REST documentation at /api, scored 7 of 7 on the protocol check, and a developer portal at developer.brex.com, but neither an MCP server nor an OpenAPI specification; OAuth, OpenID Connect, declared scopes and a CLI are all missing too, and an NLWeb /ask endpoint answers 403 without authentication. Usability reads 12 of 54. The door is wide open: ChatGPT-User, OAI-SearchBot, Claude-User and PerplexityBot all reached the home page, and robots.txt allows the AI search crawlers in 3 of 3 checks. The reading layer is generous to a fault: the llms.txt at brex.com runs to 256,923 characters, far past the 100,000 at which agents truncate one, while the docs serve markdown at paths such as /api.md. The fix worth most is an MCP server, about 8.2 points. A C at 48: the docs are public, and an agent still needs a person to wire them up.

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.