Agent MCP Directory

Ramp: the 360 agent-readiness check

Ramp scores 68 of 100 on Ora's agent-readiness scan, a C, read 9 November 2026. Of the five surfaces an agent acts on, Ora found 4: an OpenAPI specification, a public API, OAuth, a command line. A specification and a live server, under a product name that search does not return.

On 9 November 2026 the public site at ramp.com scored 68 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: Ramp offers comprehensive spend management APIs and SDKs, but lacks OAuth scoped permissions and JSON error standardization for agent integration.

The score

Ramp on Ora, read 2026-11-09: points per layer, with the share of each layer's maximum. 38 checks pass, 12 are partial, 41 fail and 41 do not apply to this site.
LayerAsksPointsShare
UsabilityCan agents use it55 of 8962%
AccessCan agents read it44 of 5876%
DiscoveryCan agents find and recommend it11 of 1669%
PaymentsCan agents pay0 of 0none apply
TotalGrade C68 of 10068%

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. One check in this group does not apply to this site and is left out.

In the directory, Ramp 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: 18 checks Ora ran on ramp.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.ramp.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-discoveryPass2 of 2MCP server referenced in llms.txt
Public API with reachable endpoints public-apiPass7 of 7REST API documentation found at /api. GraphQL endpoint at https://api.ramp.com/graphql is reachable; introspection requires authentication (API key / OAuth), which is expected for agent access.
Public API/docs linked from homepage public-api-docsPass3 of 3Documentation site found at https://docs.ramp.com
Developer portal developer-portalPass6 of 6Developer portal found at https://docs.ramp.com
OpenAPI spec published openapi-specPass7 of 7OpenAPI spec found at https://ramp.com/openapi.json (version: 3.0.0)
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://mcp.ramp.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
NLWeb /ask endpoint nlweb-askFail0 of 1No NLWeb-conformant /ask endpoint found via GET or POST
CLI tool available cli-toolPass3 of 3CLI package found on npm: @ramp/cli
Multi-language SDK packages rest-sdk-packagesPartial1 of 3SDK package found only in npm
Rate limit response headers rate-limit-headersFail0 of 2No REST rate-limit headers found on probed endpoints (GraphQL signal: fail 0).
Idempotency-Key support idempotency-key-supportFail0 of 3No REST Idempotency-Key support detected (GraphQL signal: fail 0).
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. One check in this group does not apply to this site and is left out.

At the door: 7 checks Ora ran on ramp.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://ramp.com/. Declared policy only;
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 ramp.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-jsPass3 of 35206 chars, semantic headings (1 H1 + 14 H2s + 5 H3s), 6.0% content ratio
Page token budget page-token-budgetPass1 of 1All 1 measured page fit an agent context budget (largest ~1K tokens)
Sitemap exists sitemapPass2 of 2Valid sitemap found at https://ramp.com/sitemap/root.xml with 162 entries
Sitemap freshness (lastmod) sitemap-lastmodFail0 of 1None of the 162 sampled sitemap entries carries a lastmod date. Add <lastmod> (W3C datetime) so agents can prioritize fresh content.
llms.txt exists llms-txt-existsPass1 of 1Found the llms.txt at https://ramp.com/llms.txt.
llms.txt formatting llms-txt-formattingPass2 of 2The llms.txt is well-formatted: 83 lines with markdown links, 14,959 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://ramp.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-viewPartial1 of 2Agent mode view found at ?mode=agent (3 signals: api, agent, integration)
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-linkingFail0 of 2No sameAs entity linking in JSON-LD - agents cannot disambiguate your brand
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. One check in this group does not apply to this site and is left out.

Found and recommended: 8 checks Ora ran on ramp.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-accuracyFail0 of 3ramp.com was not in the top 10 for "Ramp spend management"
Wikipedia / Wikidata entity presence wikipedia-presencePartial2 of 4Wikidata Q123190361 (Ramp) verified - draft a Wikipedia page with cited references to complete knowledge graph coverage
Developer resource discoverability agentic-search-specificPass3 of 3no detail published
Listed in MCP registries mcp-registry-listedFail0 of 1No bi-directionally verified MCP registry entry found. To pass, either publish the server from a package whose homepage, repository or maintainer email names your domain, get a verified Smithery listing with non-zero usage,
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 (100 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 ramp.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 Ramp, 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.

  • Brand name discoverability: fail, 0 of 3, about 4.2 points to gain. Ora saw: ramp.com was not in the top 10 for "Ramp spend management"
  • Scoped permissions: fail, 0 of 5, about 2.5 points to gain. Ora saw: No declared OAuth scopes, security schemes, or scoped-permission documentation found
  • JSON error responses: fail, 0 of 4, about 2 points to gain. Ora saw: API does not return JSON error responses (or no API detected)
  • Agent instruction / when-to-use: fail, 0 of 3, about 1.7 points to gain. Ora saw: No agent instruction file with when-to-use guidance found
  • REST typed error model: fail, 0 of 3, about 1.5 points to gain. Ora saw: No typed error model found in OpenAPI spec

Our read

Ramp publishes most of what the act layer asks for: an MCP server at mcp.ramp.com/mcp that answers and requires authentication, OAuth authorization server metadata on the same host, an OpenAPI 3.0.0 specification at ramp.com/openapi.json, @ramp/cli on npm, a reachable GraphQL endpoint, an llms.txt at the root and a home page that reads as prose with one H1 and fourteen H2s at a 6 percent text ratio. The largest deduction is a search result: ramp.com was not in the top ten for its own product term, about 4.2 points. The rest are specification details, with no typed error model in the OpenAPI file, no declared scopes, and endpoints that do not answer errors as JSON. One probe, the WebMCP read of ramp.com/docs/api, was answered 403 by a bot shield and is unverified. A C that reads like a B with a search problem.

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.