---
title: "monday.com: the 360 agent-readiness check | Agent MCP Directory"
description: "monday.com on Ora's agent-readiness scan, read 2026-11-09: 88 of 100, grade A, with the MCP, API and OAuth surfaces an agent can call."
canonical: https://agentmcpdirectory.com/blog/monday-agent-readiness
site: "Agent MCP Directory"
last_updated: 2026-11-09
date: 2026-11-09
section: "360 checks"
---

# monday.com: the 360 agent-readiness check | Agent MCP Directory

> monday.com on Ora's agent-readiness scan, read 2026-11-09: 88 of 100, grade A, with the MCP, API and OAuth surfaces an agent can call.

Source: https://agentmcpdirectory.com/blog/monday-agent-readiness
Site: Agent MCP Directory
Last reviewed: 2026-11-09

# monday.com: the 360 agent-readiness check

monday.com scores 88 of 100 on Ora's agent-readiness scan, an A, 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. An A2A card, a WebMCP tool and an A, with the door unverified.

On 9 November 2026 the public site at monday.com scored 88 of 100 on [Ora's](https://ora.ai/?utm_source=agentmcpdirectory.com&utm_medium=referral&utm_campaign=check) agent-readiness scan, an A, 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: The site offers strong agent-facing authentication and API access, and a GraphQL typed error model with rate-limit header documentation would round out agent support.

## The score

| Layer | Asks | Points | Share |
| --- | --- | --- | --- |
| Usability | Can agents use it | 87 of 100 | 87% |
| Access | Can agents read it | 56 of 60 | 93% |
| Discovery | Can agents find and recommend it | 15 of 18 | 83% |
| Payments | Can agents pay | 0 of 0 | none apply |
| Total | Grade A | 88 of 100 | 88% |

## 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, monday.com sign-in required, tools not seen, not counted; the connector run of 4 November 2026 is on [the entry page](https://agentmcpdirectory.com/directory/monday-com/). 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.

| Check | Result | Points | What Ora saw |
| --- | --- | --- | --- |
| MCP server / manifest mcp-server | Partial | 5 of 6 | MCP server detected at https://mcp.monday.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-discovery | Pass | 2 of 2 | MCP server discoverable via server-card.json at /.well-known/mcp/ |
| Public API with reachable endpoints public-api | Pass | 7 of 7 | REST API documentation found at https://api.monday.com/v2/get_schema?format=sdl. GraphQL endpoint at https://api.monday.com/graphql is reachable; introspection requires authentication (API key / OAuth), |
| Public API/docs linked from homepage public-api-docs | Pass | 3 of 3 | Documentation site found at https://developer.monday.com |
| Developer portal developer-portal | Pass | 6 of 6 | Developer portal found at https://developer.monday.com |
| OpenAPI spec published openapi-spec | Pass | 7 of 7 | OpenAPI spec found at https://monday.com/openapi.json (version: 3.1.0) |
| API catalog (RFC 9727) api-catalog-rfc9727 | Partial | 1 of 2 | api-catalog linkset[0] has no 'item' entries |
| A2A / agent-card a2a-agent-card | Pass | 2 of 2 | A2A Agent Card found: "monday.com MCP Server" |
| Agent discovery file agent-discovery-file | Pass | 2 of 2 | Agent Skills index (agentskills.io) found at /.well-known/agent-skills/index.json with 2 skill(s) |
| OAuth 2.0 support oauth-support | Pass | 5 of 5 | OAuth authorization server metadata at https://auth.monday.com/mcp |
| OAuth Protected Resource metadata (RFC 9728) oauth-protected-resource | Pass | 2 of 2 | no detail published |
| auth.md exists auth-md-exists | Fail | 0 of 2 | No /auth.md found at site root |
| WebMCP support webmcp | Pass | 5 of 5 | Imperative WebMCP API detected (navigator.modelContext.registerTool in inline script). Note: the entry point moved to document.modelContext - Chrome 150+ deprecates the navigator.modelContext alias. |
| NLWeb /ask endpoint nlweb-ask | Pass | 1 of 1 | NLWeb /ask endpoint exists but requires authentication (HTTP 403, via POST) |
| CLI tool available cli-tool | Pass | 3 of 3 | CLI package found on npm: @mondaycom/apps-cli |
| Multi-language SDK packages rest-sdk-packages | Partial | 1 of 3 | SDK package found only in npm |
| Rate limit response headers rate-limit-headers | Fail | 0 of 2 | GraphQL introspection auth-gated and no header convention documented on GraphQL-tagged pages |
| Idempotency-Key support idempotency-key-support | Pass | 3 of 3 | no detail published |
| JSON error responses json-error-responses | Pass | 4 of 4 | no 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. 2 checks in this group do not apply to this site and are left out.

| Check | Result | Points | What Ora saw |
| --- | --- | --- | --- |
| robots.txt AI crawler policy robots-ai-policy-quality | Pass | 2 of 2 | AI 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-policy | Pass | 2 of 2 | No applicable crawl or usage restriction found for 3 user-triggered agents (chatgpt-user, claude-user, perplexity-user) on 1 public page: https://monday.com/. Declared policy only; |
| Content behind auth docs-auth-gate | Pass | 2 of 2 | All 5 sampled pages are publicly readable (4 with substantive content) |
| Homepage not hidden from search noindex-directives | Pass | 1 of 1 | No noindex on the homepage: no robots, googlebot or bingbot meta tag and no X-Robots-Tag header hides it from search. |
| Redirect hygiene redirect-hygiene | Pass | 1 of 1 | no detail published |
| Web Bot Auth directory web-bot-auth-directory | Fail | 0 of 2 | No /.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.

| Check | Result | Points | What Ora saw |
| --- | --- | --- | --- |
| Content without JavaScript content-no-js | Partial | 1 of 3 | Homepage: 13923 chars with H1, but 3.0% content ratio is below the 5% target. Sampled pages with almost no text without JavaScript (1 of 5): https://monday.com/academy (69 chars). |
| Page token budget page-token-budget | Pass | 1 of 1 | All 6 measured pages fit an agent context budget (largest ~4K tokens) |
| Sitemap exists sitemap | Pass | 2 of 2 | Valid sitemap found at https://monday.com/sitemap_index.xml with multiple sitemaps entries |
| Sitemap freshness (lastmod) sitemap-lastmod | Fail | 0 of 1 | None of the 338 sampled sitemap entries carries a lastmod date. Add <lastmod> (W3C datetime) so agents can prioritize fresh content. |
| llms.txt exists llms-txt-exists | Pass | 1 of 1 | Found the llms.txt at https://monday.com/llms.txt. |
| llms.txt formatting llms-txt-formatting | Pass | 2 of 2 | The llms.txt is well-formatted: 67 lines with markdown links, 9,893 characters in total. |
| llms.txt links resolve llms-txt-links-resolve | Pass | 2 of 2 | no detail published |
| Markdown agent docs markdown-negotiation | Fail | 0 of 1 | Missing 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-fallback | Fail | 0 of 2 | Homepage does not support the .md suffix. Probed https://monday.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-markdown | Fail | 0 of 1 | No 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-view | Partial | 1 of 2 | Agent mode view found at ?mode=agent (3 signals: mcp, agent, integration) |
| JSON-LD structured data json-ld | Pass | 4 of 4 | Rich JSON-LD identity: Organization with name, description, url, and sameAs/logo/address (1 block(s)) |
| Organization schema completeness org-schema-completeness | Pass | 2 of 2 | no detail published |
| JSON-LD entity linking (sameAs) json-ld-entity-linking | Pass | 2 of 2 | no detail published |
| Schema type breadth schema-type-breadth | Fail | 0 of 2 | No extended schema types found - AI can only answer basic questions about this entity |
| Metadata completeness metadata-completeness | Pass | 2 of 2 | All metadata signals present: canonical URL, lang="en", og:image, og:type |
| Agent instruction / when-to-use agent-instruction | Pass | 3 of 3 | no 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.

| Check | Result | Points | What Ora saw |
| --- | --- | --- | --- |
| Brand name discoverability brand-search-accuracy | Partial | 1 of 3 | monday.com ranks #7 for "monday.com" (searched your brand name alone: no main product term from your homepage qualified) |
| Wikipedia / Wikidata entity presence wikipedia-presence | Pass | 4 of 4 | Wikipedia "Monday.com" and Wikidata Q65073369 both verified - domain confirmed on both sources |
| Developer resource discoverability agentic-search-specific | Pass | 3 of 3 | no detail published |
| Listed in MCP registries mcp-registry-listed | Pass | 1 of 1 | no detail published |
| NPM/PyPI SDK package npm-sdk-package | Pass | 1 of 1 | no detail published |
| ChatGPT app listed chatgpt-app-listed | Pass | 2 of 2 | no detail published |
| Registry branding registry-branding | Pass | 2 of 2 | no detail published |
| Listed on skills.sh skills-sh-listed | Pass | 1 of 1 | no detail published |
| ARD discovery ard-catalog | Fail | 0 of 1 | No /.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 monday.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 monday.com, with what Ora observed. The wording of each fix is Ora's; [the 28 checks it runs on an MCP server](https://agentmcpdirectory.com/mcp-checks/) are listed with their layer and tier.

-   Brand name discoverability: partial, 1 of 3, about 2.5 points to gain. Ora saw: monday.com ranks #7 for "monday.com" (searched your brand name alone: no main product term from your homepage qualified)
-   GraphQL typed error model: fail, 0 of 3, about 1.3 points to gain. Ora saw: GraphQL introspection auth-gated and no typed graphql error model documentation found on GraphQL-tagged pages
-   ARD discovery: fail, 0 of 1, about 1.2 points to gain. Ora saw: No /.well-known/ard.json, no same-site rel="ard" link, and no legacy /.well-known/ai-catalog.json
-   Content without JavaScript: partial, 1 of 3, about 1.1 points to gain. Ora saw: Homepage: 13923 chars with H1, but 3.0% content ratio is below the 5% target. Sampled pages with almost no text without JavaScript (1 of 5): https://monday.com/academy (69 chars).
-   Schema type breadth: fail, 0 of 2, about 1.1 points to gain. Ora saw: No extended schema types found - AI can only answer basic questions about this entity

## Our read

monday.com passes checks that almost nothing else in this directory passes. Beside the MCP server at mcp.monday.com/mcp, the server card at /.well-known/mcp/, OAuth metadata at auth.monday.com/mcp and an OpenAPI 3.1.0 specification at monday.com/openapi.json, Ora found an A2A agent card named for the MCP server, an agent skills index with two skills, a WebMCP tool registered in an inline script and an llms.txt at the root. The points left are the newer and smaller ones: the GraphQL endpoint documents no typed error model, there is neither an ARD catalog nor an extended schema type beyond the Organization block, and the home page's 13,923 characters are 3 percent of the page. One row is unverified rather than failed: the bot detection probe was stopped by a shield, a rate limit or a timeout, so whether the four agent user agents get in is an open question on this read. An A at 88, with the door the one thing to confirm.

## Test your own surfaces

The scan above is free and needs no account: enter a domain at [ora.ai](https://ora.ai/?utm_source=agentmcpdirectory.com&utm_medium=referral&utm_campaign=check) 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](https://agentmcpdirectory.com/test-your-mcp-server/) 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.

```bash
npx ax@0.10 audit https://example.com --min-score 70
```

[All 360 checks](https://agentmcpdirectory.com/blog/), one company a day. Corrections to [the corrections page](https://agentmcpdirectory.com/corrections/).

Edition

4 November 2026

Method

[How rows are verified](https://agentmcpdirectory.com/method/)

Data

[CSV and JSON](https://agentmcpdirectory.com/data/)

Markdown

[This page as markdown](https://agentmcpdirectory.com/blog/monday-agent-readiness/index.md)

## Sources

-   [Ora's scan of monday.com, GET /api/score (vendor)](https://ora.ai/api/score/monday.com?utm_source=agentmcpdirectory.com&utm_medium=referral&utm_campaign=check), read 9 November 2026
-   [Ora's scoring rules, version 2 (vendor)](https://ora.ai/api/ranker/releases/2/rules?utm_source=agentmcpdirectory.com&utm_medium=referral&utm_campaign=check), read 9 November 2026
-   [Ora check catalogue, contract 1.38.0](https://ora.ai/api/checks?utm_source=agentmcpdirectory.com&utm_medium=referral&utm_campaign=check), read 5 November 2026
-   [monday.com, the company's site](https://monday.com/), read 9 November 2026

Last reviewed 9 November 2026