Agent MCP Directory

MongoDB: the 360 agent-readiness check

MongoDB scores 78 of 100 on Ora's agent-readiness scan, a B, read 9 November 2026. Of the five surfaces an agent acts on, Ora found 3: a public API, OAuth, a command line. Two agent files published and neither parses as JSON.

On 9 November 2026 the public site at mongodb.com scored 78 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: MongoDB offers strong access and usability foundations and passes most discovery checks, but it lacks a published OpenAPI specification for agents.

The score

MongoDB on Ora, read 2026-11-09: points per layer, with the share of each layer's maximum. 41 checks pass, 19 are partial, 24 fail and 48 do not apply to this site.
LayerAsksPointsShare
UsabilityCan agents use it53 of 6977%
AccessCan agents read it49 of 6279%
DiscoveryCan agents find and recommend it14 of 1878%
PaymentsCan agents pay0 of 0none apply
TotalGrade B78 of 10078%

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, MongoDB 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: 17 checks Ora ran on mongodb.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.mongodb.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-discoveryPartial1 of 2MCP server at https://mcp.mongodb.com - 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 /docs/api. Best-of-protocols score: 7/7.
Public API/docs linked from homepage public-api-docsPass3 of 3Documentation site found at https://www.mongodb.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-rfc9727Partial1 of 2api-catalog responded but body is not valid JSON
A2A / agent-card a2a-agent-cardPartial1 of 2agent-card.json exists but contains invalid JSON
Agent discovery file agent-discovery-filePartial1 of 2Found legacy /.well-known/agent-skills; /.well-known/agent-skills/index.json exists but is not valid JSON - fix the file or remove it so agents fall back to /.well-known/agent-skills, /agents.md, or /skills.sh
OAuth 2.0 support oauth-supportPass5 of 5OAuth authorization server metadata at https://authorize.mongodb.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 12 of 12 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-toolPass3 of 3CLI package found on npm: resolve-mongodb-srv
Multi-language SDK packages rest-sdk-packagesPartial2 of 3SDK packages found in npm, rubygems
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 mongodb.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://mongodb.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-directoryPartial1 of 2Web Bot Auth directory found but body is not valid JSON

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 mongodb.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: 7302 chars with H1, but heading hierarchy skips H1 to H5. 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 ~5K tokens)
Sitemap exists sitemapPass2 of 2Valid sitemap found at https://www.mongodb.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://www.mongodb.com/llms.txt.
llms.txt formatting llms-txt-formattingPass2 of 2The llms.txt is well-formatted: 88 lines with markdown links, 11,095 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://mongodb.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-ldPass4 of 4Rich JSON-LD identity: Organization with name, description, url, and sameAs/logo/address (1 block(s))
Organization schema completeness org-schema-completenessPartial1 of 2Organization schema found but missing: contactPoint, address
JSON-LD entity linking (sameAs) json-ld-entity-linkingPass2 of 2no detail published
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 3Agent instruction file at /.well-known/agent-skills/ but no explicit when-to-use guidance

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 mongodb.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 3mongodb.com ranks #8 for "MongoDB" (searched your brand name alone: no main product term from your homepage qualified)
Wikipedia / Wikidata entity presence wikipedia-presencePass4 of 4Wikipedia "MongoDB" and Wikidata Q4546965 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-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-catalogPartial0 of 1/.well-known/ard.json exists but is not valid 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 mongodb.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 MongoDB, 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 3.2 points to gain. Ora saw: No declared OAuth scopes, security schemes, or scoped-permission documentation found
  • WebMCP support: fail, 0 of 5, about 3.2 points to gain. Ora saw: No WebMCP support detected - no document.modelContext / navigator.modelContext usage found (scanned 12 of 12 same-origin script bundle(s) for modelContext registrations)
  • Brand name discoverability: partial, 1 of 3, about 2.5 points to gain. Ora saw: mongodb.com ranks #8 for "MongoDB" (searched your brand name alone: no main product term from your homepage qualified)
  • Function calling compatibility: fail, 0 of 2, about 1.3 points to gain. Ora saw: Poor compatibility: missing operationIds (0/0) and parameter schemas

Our read

MongoDB has two agent files that do not parse, which is a rarer failure than having none. The A2A agent card at /.well-known/agent-card.json exists and contains invalid JSON, and the agent skills index at /.well-known/agent-skills/index.json exists and is not valid JSON either, so both score as absent after someone did the work of publishing them. The rest of the act layer is in order: an MCP server at mcp.mongodb.com that requires authentication, OAuth authorization server metadata at authorize.mongodb.com, REST documentation scoring 7 of 7, SDKs in npm and rubygems, and an llms.txt on the main domain. The missing OpenAPI specification is the largest single gap at about 4 points, and the specification that would fix it would also fix the function-calling check, which found no operationIds. A JSON validator in the build is the whole first fix.

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.