--- title: "monday.com llms.txt, graded: Agent Ready HTML" description: "The monday.com llms.txt parsed and graded A against the llmstxt.org structure: 12 sections, 53 links, 9.7 KB. Read 2026-11-04." canonical: https://agentreadyhtml.com/llms-txt-index/monday-com/ site: "Agent Ready HTML" last_updated: 2026-11-05 section: "llms.txt Index" --- # monday.com llms.txt, graded: Agent Ready HTML > The monday.com llms.txt parsed and graded A against the llmstxt.org structure: 12 sections, 53 links, 9.7 KB. Read 2026-11-04. Source: https://agentreadyhtml.com/llms-txt-index/monday-com/ Site: Agent Ready HTML Last reviewed: 2026-11-05 # monday.com llms.txt In short monday.com serves a 9.7 KB llms.txt with 12 H2 sections and 53 links, graded A on the llmstxt.org structure (6 of 6 checks). It passes every check. The home page does not link it, so an agent that does not guess paths will not find it. No llms-full.txt was found. Read 4 November 2026. **llms.txt** 9.7 KB, 92 lines ```markdown # monday.com > monday.com is the AI Work Platform where people and agents operate as one team to drive business results […] with shared cross-department context, enterprise-grade trust, and an interface built for adoption at scale. It is a cloud-based, no-code platform to design and manage structured workflows, build custom business apps, deploy AI assistants and agents, automate cross-functional processes, and centralize execution across teams. Business applications include monday CRM, monday dev, and monday service, all powered by one AI layer (monday sidekick, monday agents, monday vibe, and AI workflows). Supports 200+ integrations and a GraphQL API. Data is organized as Workspaces, Folders, Boards, Groups, Items, and Subitems with 30+ column types. Key terms: Board, Item, Column, Group, Subitem, Workspace, Dashboard, Automation, Integration, Widget, Docs, View, Agent. ## Operate on monday.com - [Agent skill file](https://monday.com/.well-known/agent-skills/general-monday-gql-api-usage/SKILL.md): Technical reference for AI agents integrating with monday.com via MCP server (preferred) or GraphQL API (fallback). Covers authentication, tool reference for boards/items/workflows, rate limits, error handling, agent behavioral standards, acceptable use policy, and safety guidelines. - [MCP server card](https://monday.com/.well-known/mcp.json): Machine-readable MCP discovery document (SEP-1649). Recommended integration method. Exposes the monday.com MCP server at https://mcp.monday.com/mcp via streamable HTTP with OAuth2 authentication. ## Machine-Readable API Schema - [GraphQL Schema (SDL)](https://api.monday.com/v2/get_schema?format=sdl) - [GraphQL Schema (JSON)](https://api.monday.com/v2/get_schema) - [Versioned Schema (2026-10)](https://api.monday.com/v2/get_schema?version=2026-10) ## Agent Account Setup - [Signup skill for agents](https://monday.com/.well-known/agent-skills/signup-for-agents/SKILL.md): How an agent gets its human onto monday.com and connects to the account. The human creates the account in a browser (about 2 minutes, no credit card); there is no API that creates one. The agent then connects over MCP (recommended) or the GraphQL API, and sets up the workspace. - [monday.com for AI agents](https://monday.com/agents-signup): Landing page for agents helping a human get started with monday.com. Covers the human signup link, connecting over MCP or GraphQL, the Free plan, FAQ, and links to all agent resources. ## Products - [monday CRM](https://monday.com/crm): AI-first CRM for revenue teams covering the full customer lifecycle. Manage pipelines, track deals, automate outreach, generate quotes and invoices, and run email campaigns with built-in AI sales agents and forecasting. - [monday dev](https://monday.com/w/dev): AI-powered product development platform connecting product, engineering, and business teams from roadmap to release. Plan roadmaps, run sprints, track bugs, manage releases, and integrate with GitHub, GitLab, and the rest of the development tech stack. - [monday service](https://monday.com/w/service): AI-powered service management platform for IT and business teams that centralizes incoming requests and uses AI agents to categorize, route, and resolve them. Includes request and incident management, SLA tracking, and a self-service portal. ## Platform Capabilities - [monday sidekick](https://monday.com/w/sidekick): Personal AI assistant built into the platform. Understands context across your work, creates documents and assets, and executes tasks on demand using multiple AI models and connected work apps. Available on desktop and mobile (iOS and Android). - [monday vibe](https://monday.com/w/vibe): vibe coding tool that turns prompts into custom, secure business apps on monday.com. No code required. - [monday agents](https://monday.com/w/agents): AI agents built into monday.com that execute work alongside people at scale. Includes pre-built Expert Agents for sales, service, and PMO, plus an agent builder to create custom department or capability agents. - [monday MCP](https://monday.com/w/mcp): Overview of monday.com MCP integration for AI tools and agents. ## Solutions by use case - [PMO](https://monday.com/w/departments/pmo): Project and portfolio management with AI agents for planning, resource allocation, risk tracking, and delivery reporting. - [Marketing](https://monday.com/w/departments/marketing): Campaign management with AI agents for content creation, performance analysis, competitive intelligence, and asset generation. - [Operations](https://monday.com/operations): Operations management with AI agents for demand intake, procurement, vendor and SLA tracking, compliance, and approval workflows across teams. - [IT](https://monday.com/w/departments/it): IT service management with AI agents for ticket triage, incident routing, SLA tracking, and knowledge base resolution. - [HR](https://monday.com/w/departments/hr): Recruiting and hiring management with AI agents for candidate screening, interview scheduling, and hiring coordination. - [Sales](https://monday.com/crm/sales): AI-first CRM for sales teams with agents that source and qualify leads, run discovery, flag at-risk deals, and automate follow-up so reps focus on selling. ## Platform Features ``` First 42 of 92 lines. 2 spans shown as \[…\] because the words or characters in them are rejected by this site's own style rules; the live file has them. **Parse** graded A, 6 of 6 file: https://monday.com/llms.txt monday.com monday.com is the AI Work Platform where people and agents operate as one team to drive business results \[…\] with shared cross-department context, enterprise-grade trust, and an interface built for adoption at scale. It is a cloud-based, no-code platform to design and manage structured workflows, build custom business ap 12 sections, 53 links, an Optional section. Ora's cached score: 91, grade A, scanned 4 November 2026. ## The parse monday.com lists 53 links: 53 point at monday.com or a relative path, 0 point elsewhere. The hosts it links most: monday.com (48), api.monday.com (3), developer.monday.com (1), support.monday.com (1). | H2 section | Links | | --- | --- | | Operate on monday.com | 2 | | Machine-Readable API Schema | 3 | | Agent Account Setup | 2 | | Products | 3 | | Platform Capabilities | 4 | | Solutions by use case | 6 | | Platform Features | 13 | | Pricing | 4 | | Developer Platform | 1 | | Trust & Security | 3 | | Resources | 6 | | Optional | 6 | ## Grade against the llmstxt.org structure The file passes all six checks. The grade is the count of passed checks: six is A, five is B, four is C, three is D, fewer is F. It measures structure only. Whether any agent reads the file is a separate question, covered on the [llms.txt reference](https://agentreadyhtml.com/llms-txt/). | Check | Result | Detail | | --- | --- | --- | | Starts with an H1 naming the site or project | Pass | H1: monday.com | | Has a blockquote summary under the H1 | Pass | Blockquote summary found. | | Has at least one H2 section that lists links | Pass | 12 H2 sections, 12 with links. | | At least 80 percent of links point at the same site | Pass | 53 of 53 links stay on monday.com (100 percent). | | Under 100 KB | Pass | 9895 bytes as served. | | Plain markdown, no HTML | Pass | No HTML document markers in the body. | ## Ora's cached score Ora's cached report for monday.com gives it **91 of 100, grade A**, scanned on 4 November 2026. Its Access layer, which holds the read-layer checks below, scored 60 of 64 check points. Read from GET ora.ai/api/score/monday.com on 5 November 2026. The score is Ora's, not this site's, and the structure grade above is a different measure: it grades the llms.txt file against the llmstxt.org proposal, while Ora's score covers the whole site. [Ora's report for monday.com](https://ora.ai/score/monday.com?utm_source=agentreadyhtml.com&utm_medium=referral&utm_campaign=index-entry) has every layer. | Ora check (Access layer) | Result | Points | | --- | --- | --- | | Sitemap exists | Pass | 2 of 2 | | Content without JavaScript | Partial | 1 of 3 | | Not blocked by bot detection | Pass | 2 of 2 | | Markdown URL fallback | Fail | 0 of 2 | | llms.txt exists | Pass | 1 of 1 | | llms.txt formatting | Pass | 2 of 2 | | JSON-LD structured data | Pass | 4 of 4 | | Metadata completeness | Pass | 2 of 2 | | llms.txt links resolve | Pass | 2 of 2 | | Markdown alternate link | Fail | 0 of 1 | | Redirect hygiene | Pass | 1 of 1 | | Page token budget | Pass | 1 of 1 | | Code fence validity | Pass | 1 of 1 | | Content behind auth | Pass | 2 of 2 | | OpenAPI spec published | Pass | 7 of 7 | | Markdown agent docs | Fail | 0 of 1 | | Markdown negotiation with Vary | Fail | 0 of 1 | | Markdown for agent user agents | Fail | 0 of 1 | | Agent crawler reachability | Pass | 2 of 2 | ## Linking and the companion file The home page of monday.com does not link the file in its HTML. Ora's lab found (2026-10-19) that 86 percent of llms.txt fetches by agents arrived through a link, so an unlinked file is mostly a file nobody opens. No llms-full.txt was found at the same root. ## How it compares At 9.7 KB the file is larger than 59 percent of the 2,529 plain-text llms.txt files in this edition, and its 53 links put it ahead of 62 percent of them on link count. The home page declares no generator. Size bucket: 2 to 10 KB. Tranco rank 3,206. Category: Productivity. Live file: [https://monday.com/llms.txt](https://monday.com/llms.txt). Read 4 November 2026. If the file has since changed or gone, the live URL is the authority; this page records what the crawl read on that date. - [All entries](https://agentreadyhtml.com/llms-txt-index/) - [Edition 2026-11-04](https://agentreadyhtml.com/llms-txt-index/2026-11-04/) - [See the home page as a plain fetch](https://agentreadyhtml.com/viewer/?url=https%3A%2F%2Fmonday.com%2F) ## Sources 1. [monday.com llms.txt](https://monday.com/llms.txt) https://monday.com/llms.txt, read 4 November 2026 2. [llms.txt proposal (llmstxt.org)](https://llmstxt.org/) https://llmstxt.org/, read 4 November 2026 3. [Tranco list 746WX (crawl universe)](https://tranco-list.eu/list/746WX) https://tranco-list.eu/list/746WX, read 4 November 2026 4. [Ora: AgentReady launch post (the 86 percent finding)](https://ora.ai/blog/agentready-launch?utm_source=agentreadyhtml.com&utm_medium=referral&utm_campaign=entry) https://ora.ai/blog/agentready-launch, read 4 November 2026 5. [Ora llms.txt (GET /api/score/{domain} looks up a cached score)](https://ora.ai/llms.txt?utm_source=agentreadyhtml.com&utm_medium=referral&utm_campaign=entry) https://ora.ai/llms.txt, read 5 November 2026 Last reviewed 5 November 2026 Edition Crawl 2026-11-04 Ora reads 2026-11-05 Page updated 2026-11-05 Method How the viewer reads a page, how a file is graded and how a platform is scored: [the method page](https://agentreadyhtml.com/method/).