Manage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback).

MITAuto-check passedBackend & APIs

Install Monday

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill monday -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills monday --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/monday-com .claude/skills/monday && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
monday
GitHub stars
2.2k
Token cost
~4.3k tokens
SKILL.md length
2,052 words
Files
3 (incl. references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Manage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback).

  • Works in 5 steps: Navigate to… → Solve Hatcha — an agent-verification… → Enter your email and select who it… → …
  • A user asks to create tasks
  • SKILL.md covers If you need to signup new…, Setup when you have account…, MCP Server (Preferred Method) and Agent Behavior Rules, plus 11 more sections
  • Reaches api.monday.com and auth.monday.com; needs MONDAY_API_TOKEN

What it does

Monday is an agent skill from LeoYeAI/openclaw-master-skills. Manage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback). Use when a user asks to create tasks, update statuses, manage projects, query boards, automate workflows, manage CRM, track development, or interact with any monday.com resource. Also use for AI features like AI Blocks, Sidekick skills, or agent workflows on monday.com.

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `_meta.json` and `references/graphql-examples.md`).

It sits in Backend & APIs, covering GraphQL, MCP servers and Workflow automation. It works with Model Context Protocol and GraphQL. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • A user asks to create tasks
  • Update statuses
  • Manage projects
  • Automate workflows

Example prompts

  • “/monday”

Requirements

  • A credential in MONDAY_API_TOKEN

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Navigate to https://auth.monday.com/users/sign_up_new?custom_flow=agent_bot
  2. Solve Hatcha — an agent-verification challenge. Types you may see
  3. Enter your email and select who it belongs to (you or your operator). Click Submit.
  4. Set your agent name and password. Password rules
  5. You'll land on the Agent Homepage — "Welcome to Monday for agents." This page has everything you need

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.monday.com
    • auth.monday.com
    • mcp.monday.com

    Also links to:

    • developer.monday.com
    • github.com
    • monday.com
    • status.monday.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • MONDAY_API_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Monday loads about 4.3k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 2,052 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,052 words, ~4,289 tokens.

Download SKILL.mdSave it as .claude/skills/monday/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
monday
description
Manage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback). Use when a user asks to create tasks, update statuses, manage projects, query boards, automate workflows, manage CRM, track development, or interact with any monday.com resource. Also use for AI features like AI Blocks, Sidekick skills, or agent workflows on monday.com.
version
1.3.0
homepage
https://developer.monday.com

monday.com

Manage everything on monday.com: boards, items, columns, groups, updates, users, workspaces, webhooks, files, and AI features.

If you need to signup new account this is how to Sign Up

  1. Navigate to https://auth.monday.com/users/sign_up_new?custom_flow=agent_bot

  2. Solve Hatcha — an agent-verification challenge. Types you may see:

    • Sort numbers ascending → find the Nth value
    • Binary octets → convert to ASCII text
    • Reverse a string
    • Count letter occurrences in text
    • Multiply two numbers (return the product)
    • Base64 decode
    • ROT13 decode
    • Hex to ASCII

    You have ~30 seconds. Submit your answer and click Verify.

  3. Enter your email and select who it belongs to (you or your operator). Click Submit.

  4. Set your agent name and password. Password rules:

    • Minimum 8 characters
    • At least 1 digit, 1 lowercase, 1 uppercase
    • No repeating characters (e.g. "aaa")
    • No sequential characters (e.g. "1234")

    Click Complete signup →

  5. You'll land on the Agent Homepage — "Welcome to Monday for agents." This page has everything you need:

    • API Token — copy it, you'll need it for all API/MCP calls save it to env like MONDAY_API_TOKEN
    • MCP Config — JSON config for connecting via MCP (preferred method)
    • Skills — downloadable YAML skill definition
    • GraphQL API — example queries and mutations
    • Resources — links to docs, SDK, community

Setup when you have account but don't have access token

  1. Go to monday.com → Profile picture → Developers → My Access Tokens
  2. Copy your Personal API V2 Token
  3. Store it securely in your agent's environment or config (e.g. via openclaw config set or your platform's secrets manager)

MCP Server (Preferred Method)

Always use the MCP server first. It handles authentication, rate limiting, retries, and complexity budgets automatically. Only fall back to the GraphQL API when the MCP tools don't cover your operation.

monday.com has an official MCP server (@mondaydotcomorg/monday-api-mcp):

json
{
  "mcpServers": {
    "monday": {
      "command": "npx",
      "args": ["-y", "@mondaydotcomorg/monday-api-mcp@latest"],
      "env": {
        "MONDAY_API_TOKEN": "<your-api-token>"
      }
    }
  }
}
How to invoke MCP tools

If your platform supports MCP natively (e.g. Claude Desktop, Cursor), configure the server above and call tools directly (e.g. create_item, get_board_schema).

If your platform does not have native MCP support (e.g. OpenClaw agents executing via shell), you have two options:

  1. Use the GraphQL API directly (recommended fallback) — see the GraphQL section below. This is simpler and more reliable than shelling out to an MCP process.
  2. Run the MCP server as a subprocess — spawn it via npx, send JSON-RPC over stdin/stdout. This is complex and only worthwhile if you need the MCP server's built-in retry/complexity logic.

For most agent use cases, GraphQL fallback is the practical choice when MCP isn't natively available.

MCP Tools Reference
ToolWhat It DoesWhen to Use
create_boardCreates a new board with a name and kind (public/private/share)User asks to set up a new project, tracker, pipeline, or workspace board
get_board_schemaReturns board columns, groups, and structureBefore creating/updating items — always call this first to know column IDs and types
create_groupCreates a new group on a boardSetting up phases, sprints, stages, or categories on a board
create_columnAdds a new column to a board (status, date, people, numbers, etc.)User wants to track a new field — priority, due date, assignee, budget, etc.
create_itemCreates a new item (row) on a board with column valuesAdding tasks, tickets, deals, contacts, or any new entry
delete_itemDeletes an item by IDUser explicitly asks to remove an item (always confirm first)
change_item_column_valuesUpdates one or more column values on an existing itemChanging status, reassigning, updating dates, marking complete
move_item_to_groupMoves an item from one group to anotherProgressing items through stages (e.g., "To Do" → "In Progress" → "Done")
get_board_items_by_nameSearches for items on a board by nameFinding a specific task, deal, or ticket by its title
create_updateAdds a comment/update to an itemPosting progress notes, status updates, handoff notes, or feedback
MCP Workflow Pattern
  1. Always start with get_board_schema to learn the board's columns and groups before writing data
  2. Use create_item / change_item_column_values for CRUD — the MCP server formats column values correctly
  3. Use create_update to leave a trail of context on items
  4. If you need an operation the MCP tools don't cover (webhooks, file uploads, user queries, subitems, pagination) — fall back to the GraphQL API below
Advanced MCP Modes
  • Dynamic API Tools (beta): Add --enable-dynamic-api-tools true to args for full GraphQL schema exploration via MCP
  • Hosted MCP (OAuth): Use https://mcp.monday.com/sse for OAuth-based access without a local token

Agent Behavior Rules

Be proactive and useful:

  • After creating any item, board, group, or update — always return the direct URL to the created object: https://<account>.monday.com/boards/{board_id}/pulses/{item_id}
  • After completing a task, suggest 2-3 logical next steps (e.g., "Want me to assign someone?" "Should I set a due date?" "Want me to create a status automation?" "Should I add subitems to break this down?")
  • Don't narrate the API/MCP process — report what was done and how the user can use it
  • When querying boards, present results in a clean summary (table or bullet points), not raw JSON
  • If an operation fails, explain why in plain language and suggest a fix — don't just show the error
  • Batch related operations (e.g., creating multiple items) into efficient calls
  • Before creating a board, ask if the user wants a specific template or structure — suggest popular ones (Kanban, Sprint Board, CRM Pipeline, Bug Tracker)
  • When a user asks "what's the status of X?", go beyond raw data — highlight blockers, overdue items, items without assignees, and progress percentages
  • If you notice a board has no automations, suggest useful ones ("Want me to set up an automation to notify you when items are marked Done?")
  • When creating items, proactively set reasonable defaults (e.g., status = "Not Started", assign to the requesting user if known)
  • When working with dates, always use the user's timezone context and flag items that are overdue or due within 24 hours
  • After bulk operations (creating 5+ items), provide a count summary and a link to the board rather than listing every item

Memory & caching (platform-specific):

These patterns apply to agents with persistent memory (e.g. OpenClaw workspace). Adapt to your platform's memory model.

  • Save every created resource (ID, name, URL, context) to your memory/notes for reuse — include the board name, item name, and what it's for so you can find it later without re-querying
  • If a user references a board or item by name and you've seen it before, retrieve the saved ID from memory instead of re-querying
  • Cache board schemas after the first fetch — only re-query if the user mentions adding/changing columns

GraphQL API (Fallback)

Use the GraphQL API directly when MCP tools don't cover the operation (webhooks, file uploads, subitems, pagination, user/workspace queries, activity logs).

  • Endpoint: https://api.monday.com/v2 (POST, JSON body with query field)
  • File uploads: https://api.monday.com/v2/file (multipart POST, max 500MB)
  • Auth: Include your API token in the request header (see API docs)
  • API version: Include API-Version: 2024-10 header. Check developer.monday.com/api-reference for the current stable version.

For full GraphQL query and mutation examples, see references/graphql-examples.md.

Core Operations (GraphQL)

All operations use POST to the API endpoint with a query field. Key operations:

OperationMutation/QueryKey Fields
List boards{ boards(limit: 25) { id name } }order_by: used_at
Get board + items{ boards(ids: [...]) { columns groups items_page { ... } } }Always fetch schema first
Create boardcreate_board(board_name, board_kind, workspace_id)Kinds: public, private, share
Create itemcreate_item(board_id, group_id, item_name, column_values)column_values = JSON string
Update columnschange_multiple_column_values(board_id, item_id, column_values)Prefer over single-column updates
Create groupcreate_group(board_id, group_name, group_color)—
Add commentcreate_update(item_id, body)Supports HTML
Create subitemcreate_subitem(parent_item_id, item_name)Returns subitem board ID
Move itemmove_item_to_group(item_id, group_id)—
Delete itemdelete_item(item_id)Always confirm first
Search by columnitems_page_by_column_values(board_id, columns)Column ID + value filter
Activity logsboards(ids) { activity_logs(limit, from, to) }Events: update_column_value, create_pulse, etc.
Create webhookcreate_webhook(board_id, url, event)Events: change_column_value, create_item, etc.
User info{ me { id name email account { slug } } }Get account slug for URLs
Workspaces{ workspaces { id name kind } }—
Show full SKILL.md (782 more words)Show less

Pagination

Use cursor-based pagination for large datasets:

  1. First request: include items_page(limit: 200) — returns a cursor
  2. Next pages: use next_items_page(limit: 200, cursor: "CURSOR_VALUE")

Recommended page size: 200. Max: 500. Cursors expire after 60 minutes.

Column Value Formats

When setting column values, use these JSON formats:

Column TypeJSON Format
Status{"label": "Done"} or {"index": 1}
Date{"date": "2026-03-15"} or {"date": "2026-03-15", "time": "14:30:00"}
Person{"personsAndTeams": [{"id": 12345, "kind": "person"}]}
Numbers"42" (string)
Text"Hello world"
Dropdown{"labels": ["Option A", "Option B"]}
Checkbox{"checked": "true"}
Email{"email": "[email protected]", "text": "Contact"}
Phone{"phone": "+15551234567", "countryShortName": "US"}
Link{"url": "https://example.com", "text": "Click here"}
Timeline{"from": "2026-03-01", "to": "2026-03-31"}
Long Text{"text": "Detailed description here"}
Rating{"rating": 4}
Hour{"hour": 14, "minute": 30}
Week{"week": {"startDate": "2026-03-09", "endDate": "2026-03-15"}}
Color{"color": {"hex": "#FF5AC4"}}
Tags{"tag_ids": [123, 456]}
Country{"countryCode": "US", "countryName": "United States"}
Location{"lat": "40.7128", "lng": "-74.0060", "address": "New York, NY"}

All column values must be JSON-stringified when passed to mutations.

URL Patterns

Build direct links for users:

  • Board: https://{account}.monday.com/boards/{board_id}
  • Item: https://{account}.monday.com/boards/{board_id}/pulses/{item_id}
  • Dashboard: https://{account}.monday.com/dashboards/{dashboard_id}

Get the account slug from: { me { account { slug } } }

Rate Limits

LimitFreeStandardProEnterprise
Per minute1,0001,0002,5005,000
Daily calls2001,00010,00025,000
Concurrency4040100250
Complexity/query5,000,0005,000,0005,000,0005,000,000
Complexity/min10,000,00010,000,00010,000,00010,000,000
IP limit5,000 per 10s5,000 per 10s5,000 per 10s5,000 per 10s

When rate-limited (HTTP 429): read the Retry-After header and wait that many seconds. Rate-limited requests count as only 0.1 toward the daily limit.

Always include complexity { before after query } in queries to monitor budget.

Error Handling

monday.com returns errors in two ways:

  • HTTP 200 with errors array — application-level errors (invalid query, missing permissions)
  • HTTP 4xx/5xx — transport-level errors (rate limit, auth failure, server error)

Common error codes:

  • InvalidColumnIdException — column ID doesn't exist on the board
  • InvalidBoardIdException — board doesn't exist or no access
  • ItemsLimitationException — board reached item limit
  • CorrectedValueException — value was auto-corrected (check corrected_value)
  • ColumnValueException — invalid format for column type
  • UserUnauthorizedException — token doesn't have required permissions
  • ComplexityException — query too expensive, simplify or paginate
  • ResourceNotFoundException — ID doesn't exist

monday.com AI Features

  • AI Blocks — modular AI in columns and automations: Categorize, Summarize, Translate, Extract Info, Detect Sentiment, Improve Text, Write with AI, Custom Prompt. Available on Pro+ (500 free credits/month)
  • monday Sidekick — conversational AI assistant for cross-board analysis, report generation, content drafting, task creation
  • monday AI Agents — autonomous workers: Lead Agent (qualifies prospects), SDR Agent (outreach calls, SMS, meeting booking)
  • monday Vibe — AI no-code app builder, turns natural language into custom apps

Use Cases

ScenarioWhat to Do
"Create a project board"Create board → add groups (phases/sprints) → add columns → report board URL
"Add tasks to my board"Get board schema → create items with proper column values → return item URLs
"What's the status of project X?"Query board items → summarize by status/group → highlight blockers
"Move done items to archive"Search by status "Done" → move each to archive group
"Set up a sprint"Create group → create items → assign people → set dates → return board link
"Track a bug"Create item in dev board → set priority/status → assign → add description as update
"Create a CRM pipeline"Create board with deal stages as groups → add contact/value/date columns
"Generate a weekly report"Query multiple boards → aggregate by status → format as summary with metrics
"Automate status notifications"Create webhook for status changes → explain how to connect to Slack/email
"What changed this week?"Query activity logs → summarize by user/event type → highlight key changes
"Upload a spec to a task"Upload file to item's files column via multipart POST → return file URL

Data handling:

  • Never log or store API tokens in conversation history, memory files, or updates
  • When displaying board data, respect that it may contain confidential business information
  • Don't share board data across different users' sessions or conversations
  • monday.com customer data is never used to train AI models

Permissions:

  • Personal API tokens inherit the user's UI permissions — if they can't see a board in the UI, the API won't return it
  • Always verify board access before performing operations
  • Don't delete items, boards, or groups without explicit user confirmation
  • For destructive operations (delete, archive), always ask first and explain what will happen

Rate limiting etiquette:

  • Space out bulk operations (add 100ms delay between mutations)
  • Use change_multiple_column_values instead of multiple single-column updates
  • Cache board schemas and user IDs — don't re-query every turn
  • If rate-limited, wait the full Retry-After duration before retrying

Compliance:

  • Don't create automations that send external emails/notifications without user awareness
  • Don't modify workspace-level settings without explicit permission
  • When creating webhooks, inform the user and document the endpoint
  • Respect workspace data isolation — don't query across workspaces unless asked

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/monday-com of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • references/graphql-examples.md

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Monday next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Monday compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Monday this skillLeoYeAI/openclaw-master-skills2.2k—~4.3kAutomated safety check: PassMIT
Shopifyasgeirtj/system_prompts_leaks69k—~2kAutomated safety check: PassCC0-1.0
QA Find Bugs MCPbex-co/beancount-io296—~3kAutomated safety check: PassMIT
Shopify AI Toolkit Wrapperjeremylongshore/tons-of-skills-marketplace2.8k—~1.5kAutomated safety check: PassMIT
Build Error AdapterArcadeAI/arcade-mcp1k—~2kAutomated safety check: PassMIT
SpikardGoldziher/spikard123—~799Automated safety check: PassMIT

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Questions about Monday

What does Monday do?

Manage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback). Monday is an agent skill from LeoYeAI/openclaw-master-skills.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback).

When should I use Monday?

Monday fits situations like: A user asks to create tasks; update statuses; manage projects; automate workflows.

How do I install Monday in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill monday -a claude-code`. Or copy the skill folder (skills/monday-com in LeoYeAI/openclaw-master-skills) into .claude/skills/monday in your project. Claude Code loads it when a task matches its description.

How do I install Monday in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill monday -a codex`. Or copy the skill folder (skills/monday-com in LeoYeAI/openclaw-master-skills) into .agents/skills/monday in your project. Codex loads it when a task matches its description.

Can I use Monday in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill monday -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/monday, .gemini/skills/monday, .github/skills/monday and .opencode/skills/monday in your project.

What does Monday need to run?

Going by SKILL.md and its folder, Monday needs credentials named MONDAY_API_TOKEN. Our summary lists: A credential in MONDAY_API_TOKEN.

Does Monday access the network?

SKILL.md names 7 domains. In commands or code: api.monday.com, auth.monday.com and mcp.monday.com; the agent is likely to contact these when it follows the instructions. As links in the text: developer.monday.com, github.com, monday.com and status.monday.com. This is read from the text; nothing was executed.

Is Monday safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Monday use?

Monday is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Monday use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.

What are the alternatives to Monday?

Skills that share tags, products or a category with Monday: Shopify (asgeirtj/system_prompts_leaks, 69k stars), QA Find Bugs MCP (bex-co/beancount-io, 296 stars), Shopify AI Toolkit Wrapper (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Build Error Adapter (ArcadeAI/arcade-mcp, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Monday?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.