monday.com
Manage projects, tasks & CRM
- Category
- Productivity
- Primary Subcategory
- Project & Task Management Platforms
Integration details
Description
The monday.com AI Connector brings core platform capabilities directly to agents and AI assistants. It supports searching boards, creating and updating items and columns, assigning owners, setting timelines, and posting updates — enabling a wide range of work management and CRM use cases across teams and departments. Teams of people and agents use monday.com as a task tracker and project tracking hub: planning campaigns and events, tracking milestones, dependencies, and workload, managing approval workflows and request intake, and sharing status updates across projects and portfolios — as well as a CRM for managing leads, contacts, and deals. Beyond day-to-day work management, the connector lets agents answer questions using monday.com's official knowledge base, plan and build automations and multi-step workflows, run and save reusable code actions, and configure other monday.com agents .
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Project & Task Management Platforms
- Secondary Subcategories
- None listed
- Brand
- monday.com
- Access
- Account required
- First tracked
- 2026-05-31
- Tool count
- 103
- Geography
- US
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Other Subcategories where the Integration is listed.
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Competing in ChatGPT Project & Task Management Platforms
View Category103 tools agents can invoke
Activate a sequence. Changes status from INACTIVE to ACTIVE, enabling enrollment and step execution.
activate-sequence
[IMPORTANT] If you need to update multiple items in one call, use update_items instead of calling this tool in a loop. Otherwise: change the column values of a single item in a monday.com board. [REQUIRED PRECONDITION]: Before using this tool, if new columns were added to the board or if you are not familiar with the board's structure (column IDs, column types, status labels, etc.), first use get_board_info to understand the board metadata. This is essential for constructing valid column values. For board-relation linking tasks, call link_board_items_workflow before using this tool.
change_item_column_values
Save a reusable action (a stored code script). Variables are injected as environment variables (access via os.environ in Python, process.env in JS/TS). Recommended: Test your code with execute_code before saving to ensure it works correctly. Network access is restricted to the following hosts: [api.monday.com, mcp.monday.com/mcp]. Requests to any other host will be blocked. Example: name: "Get board items", description: "Fetches items from a board", language: "python", code: "import requests\nprint('done')"
create_action
Creates an automation on a monday board from a structured natural-language description. Use this tool only when you know: - boardId - the user's intended trigger - at least one intended action - any details the user provided that are relevant to the trigger, conditions, or actions The caller does not need to know the exact available automation blocks or their required fields. Describe the user's intent clearly — the tool will translate that intent into supported blocks and values. If a required detail is missing from the user's request, ask for clarification before calling the tool. If the tool returns status: "needs_clarification", present the unresolved fields to the user, gather answers, then call the tool again. Describe the automation in this format: Trigger: When <the event that should start the automation> Details: <relevant detail>: <value> Conditions: - Only if <condition that should be true> Details: <relevant detail>: <value> Actions: - <action the automation should perform>: <relevant detail>: <value> Rules: - Use one trigger. - Conditions are optional. - Multiple conditions mean AND. - Use one or more actions. - Do not use branching. - Use natural language, not block IDs or internal field names. - Actions may reference values from the trigger context, such as "{{item name}}", "{{creator}}", "{{status}}", "{{group}}", or "{{board}}". Terminology: - Trigger: the event that starts the automation, such as "when a new item is created". - Conditions: optional requirements that must be true before actions run. - Actions: what the automation does when it runs. Example: Trigger: When a new item is created Actions: - Send a notification: Recipient: John Snow Title: Important Update Message: The item "{{item name}}" was created. - Move the item to a group: Group: Top group
create_automation
Create a monday.com board
create_board
Create a new column in a monday.com board
create_column
Use this tool to create a new monday.com dashboard that aggregates data from one or more boards. Dashboards provide visual representations of board data through widgets and charts. Use this tool when users want to: - Create a dashboard to visualize board data - Aggregate information from multiple boards - Set up a data visualization container for widgets
create_dashboard
Create a new monday.com doc either inside a workspace or attached to an item (via a doc column). After creation, the provided markdown will be appended to the document. LOCATION TYPES: - workspace: Creates a document in a workspace (requires workspace_id, optional doc_kind, optional folder_id, optional docOwnerIds) - item: Creates a document attached to an item (requires item_id, optional column_id, optional docOwnerIds) USAGE EXAMPLES: - Workspace doc: { location: "workspace", workspace_id: 123, doc_name: "My Doc", doc_kind: "private" , markdown: "..." } - Workspace doc in folder: { location: "workspace", workspace_id: 123, doc_name: "My Doc", folder_id: 17264196 , markdown: "..." } - Item doc: { location: "item", item_id: 456, doc_name: "My Doc", column_id: "doc_col_1" , markdown: "..." } - Workspace doc with agent owner: { location: "workspace", workspace_id: 123, doc_name: "My Doc", markdown: "...", docOwnerIds: ["<agent_owner_user_id>"] }
create_doc
Create a new folder in a monday.com workspace
create_folder
Create a monday.com form. Also creates a backing board to store responses. Returns the formToken for future mutations.
create_form
Create a new group in a monday.com board. Groups are sections that organize related items. Use when users want to add structure, categorize items, or create workflow phases. Groups can be positioned relative to existing groups and assigned predefined colors. Items will always be created in the top group and so the top group should be the most relevant one for new item creation
create_group
[IMPORTANT] If you need to create multiple items in one call, use create_items instead of calling this tool in a loop. Otherwise: create a new item with provided values, create a subitem under a parent item, or duplicate an existing item and update it with new values. Use parentItemId when creating a subitem under an existing item. Use duplicateFromItemId when copying an existing item with modifications. [REQUIRED PRECONDITION]: Before using this tool, if new columns were added to the board or if you are not familiar with the board's structure (column IDs, column types, status labels, etc.), first use get_board_info to understand the board metadata. This is essential for constructing proper column values and knowing which columns are available.
create_item
Create up to 20 new items in a single call. Each item is fully independent - it chooses its own groupId, parentItemId (for subitems), duplicateFromItemId (for bulk templating from an existing item), and createLabelsIfMissing. A single call can therefore span multiple groups, mix regular items with subitems under different parents, and mix fresh creates with duplicates of existing items. Each item returns its own item_id and item_url on success, or a raw error message on failure. [REQUIRED PRECONDITION]: Before using this tool, if new columns were added to the board or if you are not familiar with the board's structure (column IDs, column types, status labels, etc.), first use get_board_info to understand the board metadata. This is essential for constructing proper column values and knowing which columns are available.
create_items
Send a notification to a user via the bell icon and optionally by email. Use target_type "Post" for updates/replies or "Project" for items/boards.
create_notification
Create a new table-type board view with optional filters, sort, tags, and table-specific settings (column visibility/order and group-by). Use this instead of create_view when you need to configure table-specific settings. For a simple table view, create_view also works. Filter operators: any_of, not_any_of, is_empty, is_not_empty, greater_than, lower_than, between, contains_text, not_contains_text Example settings.columns: { "column_properties": [{ "column_id": "status", "visible": true }], "column_order": ["name", "status", "date"] } Example settings.group_by: { "conditions": [{ "columnId": "status" }], "hideEmptyGroups": true }
create_view_table
Create a new structured activity entry on a CRM item's timeline. Returns the created timeline_item_id. For freeform notes (meeting outcomes, follow-ups), use create-timeline-note instead.
create-timeline-item
Log a freeform text note on a CRM item's timeline — meeting outcomes, follow-up reminders, context for the next rep, or any unstructured observation.
create-timeline-note
Create a new update (comment/post) on a monday.com item. Updates can be used to add comments, notes, or discussions to items. You can optionally mention users, teams, or boards in the update. You can also reply to an existing update by using the parentId parameter.
create_update
Create a new board view (tab) with optional filters and sorting. This creates a saved view on a monday.com board that users can switch to. Filter operators: any_of, not_any_of, is_empty, is_not_empty, greater_than, lower_than, between, contains_text, not_contains_text Example filter for people column: { "rules": [{ "column_id": "people", "compare_value": ["person-12345"], "operator": "any_of" }] } Example filter for status column: { "rules": [{ "column_id": "status", "compare_value": [1], "operator": "any_of" }] }
create_view
Create a new widget in a dashboard or board view with specific configuration settings. This tool creates data visualization widgets that display information from monday.com boards: **Parent Containers:** - **DASHBOARD**: Place widget in a dashboard (most common use case) - **BOARD_VIEW**: Place widget in a specific board view **Critical Requirements:** 1. **Schema Compliance**: Widget settings MUST conform to the JSON schema for the specific widget type 2. **Use all_widgets_schema first**: Always fetch widget schemas before creating widgets 3. **Validate settings**: Ensure all required fields are provided and data types match **Workflow:** 1. Use 'all_widgets_schema' to get schema definitions 2. Prepare widget settings according to the schema 3. Use this tool to create the widget
create_widget
Submit a response to a monday.com WorkForm. Use get_form first to retrieve the WorkForm, then: - Inspect each question's showIfRules to determine which questions are conditionally shown based on previous answers. - Inspect each question's settings for any answer constraints (e.g. rating limits, select options, label limits). - Take note of any titles, descriptions, and content blocks to present the form naturally as you walk the user through it. - Take note of pages and question order to present questions in the correct sequence. Gather all answers upfront before calling this tool — do not submit one question at a time. Accepts a bare form token, a full WorkForm URL (e.g. https://forms.monday.com/forms/{form_token}?r=use1), or a shortened wkf.ms URL (e.g. https://wkf.ms/4tqP28t) — shortened URLs are automatically resolved by following the redirect. Returns the submission ID.
create_form_submission
Creates a new empty workflow in the given workspace and returns its identifiers (workflowObjectId and workflowDraftId). Use this tool when the user wants to start a brand-new workflow from scratch, rather than modifying an existing one. Only the workspace is required; title, privacy kind, description, folder, and owners are optional and fall back to sensible defaults. The tool returns a JSON object with the identifiers of the newly created workflow, which can then be used with the other workflow tools.
create_workflow
Create a new workspace in monday.com
create_workspace
Creates a new sequence on a board. Always created INACTIVE — use `activate-sequence` to enable after creation. CALL THIS TOOL DIRECTLY with whatever arguments you have. Do NOT call `get-board-sequences`, `get-connected-email-accounts`, or any other tool first — the gates below will tell you exactly what to do if anything is missing. GATES (return CONFIRMATION_REQUIRED, nothing created): • `board_not_specified` — `board_id` omitted. • `steps_not_specified` — `steps` omitted. • `connections_not_specified` — timeline has `automatic_email` with `sender`/`emailColumnId` missing. Each gate response includes instructions for the next turn — follow them verbatim. STEP TYPES: • `{ type: "manual_task_reminder" | "manual_call_reminder" | "manual_email_reminder", subject, body }` — no sender/emailColumnId needed. • `{ type: "automatic_email", subject, body }` — requires `sender` + `emailColumnId`. Omit `trackingEnabled`/`isEmailThreaded` unless the user asks (defaults: both on). • `{ type: "wait", days: N }` (N ≥ 1) — gap before the next step; not a real step. Two consecutive steps with no wait run on the same day. A wait at the START delays the first step past day 1. Never set ordinals or UUIDs. Never fabricate steps.
create-sequence
Deactivate a sequence. Changes status from ACTIVE to INACTIVE, blocking new enrollments. Items already enrolled continue their execution.
deactivate-sequence
Delete a saved action. Example: id: "550e8400-e29b-41d4-a716-446655440000"
delete_action
Duplicate a sequence. Creates a copy with the same steps and configuration. The new sequence starts with INACTIVE status.
duplicate-sequence
Enroll one or more CRM contacts or leads into an outreach sequence. The sequence must be active. Returns per-item success/failure so partial failures do not silently drop contacts.
enroll-item-in-sequence
Run arbitrary code in a monday-authenticated sandbox, without saving. Prefer dedicated monday tools for individual reads, writes, and GraphQL queries/mutations — they render in the UI and are retried one step at a time. Reach for execute_code when code is genuinely the better tool: - Bulk / multi-item work — batch operations, dedup, aggregations, joins across boards (one script beats N tool calls that accumulate context and compound failure) - Data transformation — normalizing phones/dates, fuzzy matching, weighted scoring - File I/O — parsing uploaded CSV/XLSX to import items, producing downloadable exports - Multi-step workflows where each step's output gates the next The sandbox has authenticated access to the monday.com API. You can make HTTP requests with GraphQL queries and mutations — authentication is handled automatically. IMPORTANT: Network access is restricted to the following hosts: [api.monday.com, mcp.monday.com/mcp]. Requests to any other host (or a different path on a restricted host) will be blocked. Use this tool to query boards, items, columns, users, updates, and any other monday.com API resource. THE SANDBOX IS PER-CALL: a new empty container every call, destroyed when the call returns. Nothing written to disk survives, /tmp included. Never write a file in one call to read it in a later one, and don't invent staging paths for earlier tool results — none exist. To carry data forward, print it and pass it into the next call's code, or do the whole job in one call. Splitting a fan-out across calls only works if the later calls don't depend on the earlier ones' files. FAIL WITH A NON-ZERO EXIT. A run that prints an error and exits 0 is recorded as a success. The monday.com API returns HTTP 200 with an "errors" array, so check the parsed body rather than the status code and raise when it is present. Let exceptions propagate; don't wrap the script in a bare try/except. TIME LIMIT: 300s. A run that exceeds it is killed, so scope each call to finish well inside the limit instead of fetching everything in one script. Don't call mcp.monday.com from inside the sandbox to reach monday tools — you already have them, and a tool missing from your tool list won't be found there either. Example — monday.com GraphQL query, raising on errors (Python). Use this shape for every API call: code: "import requests\ndef gql(query):\n body = requests.post('https://api.monday.com/v2', json={'query': query}).json()\n if 'errors' in body:\n raise RuntimeError(body['errors'])\n return body['data']\nprint(gql('{ users(limit:5) { id name email } }'))" Example — monday.com GraphQL mutation (Python): code: "import requests\nmutation = 'mutation { create_board(board_name: \"New Board\", board_kind: public) { id } }'\nbody = requests.post('https://api.monday.com/v2', json={'query': mutation}).json()\nif 'errors' in body:\n raise RuntimeError(body['errors'])\nprint(body['data'])" Example — with vars (accessed via os.environ): code: "import os, requests\nuser_id = os.environ['user_id']\nresp = requests.post('https://api.monday.com/v2', json={'query': f'{{ users(ids: [{user_id}]) {{ id name email }} }}'})\nprint(resp.json())" vars: {"user_id": 12345} Example — simple (Python): code: "print('hello world')" Example — with files (input and output): code: "import json\ndata = json.load(open('/tmp/data.json'))\njson.dump({'count': len(data)}, open('/tmp/result.json', 'w'))" files: [{"path": "/tmp/data.json", "content": "W3siaWQiOiAxfV0="}] output_files: ["/tmp/result.json"] Example — auto-collect outputs (write anything you want returned under /outputs): code: "import os, json\nos.makedirs('/outputs', exist_ok=True)\njson.dump({'ok': True}, open('/outputs/result.json', 'w'))" return_outputs: true
execute_code
Discover meetings by topic, or list/browse meetings by date and access. Returns meetings ranked by keyword relevance (matched against title and AI gist — not semantic). USE THIS FIRST for topic/theme questions ("what did we decide about pricing", "find meetings about the acme deal") AND for listing/browsing ("list my recent meetings", "meetings from last week", "my last 10 meetings"). When query is omitted, returns recent meetings filtered by date/access only — this is the tool for listing. Pass returned ids to get_meetings_content for full content, or to search_meetings_content for matching passages. Only indexed meetings are candidates.
explore_meetings
Finalize a file upload and create the asset on monday.com. Call this after uploading the file to the presigned URL from get_asset_upload_url. Requires the etag value from the PUT response headers. Automatically attaches the uploaded asset to the specified file column on the item. Returns the created asset_id.
finalize_asset_upload
Create, update, or delete a question in a monday.com form
form_questions_editor
Retrieve a saved action by ID. Example: id: "550e8400-e29b-41d4-a716-446655440000"
get_action
Fetch aggregated activity insights for a CRM board: call counts, duration stats, grouped by rep, activity type, or item. Does not return individual activity records.
get-activity-insights
Fetch complete JSON Schema 7 definitions for all available widget types in monday.com. This tool is essential before creating widgets as it provides: - Complete schema definitions for all supported widgets - Required and optional fields for each widget type - Data type specifications and validation rules - Detailed descriptions of widget capabilities Use this tool when you need to: - Understand widget configuration requirements before creating widgets - Validate widget settings against official schemas - Plan widget implementations with proper data structures The response includes JSON Schema 7 definitions that describe exactly what settings each widget type accepts.
all_widgets_schema
Only call this tool if you can execute a direct HTTP PUT with binary file data and read response headers (e.g. via shell/curl). If you can't, tell the user direct file upload isn't supported here — don't call this tool. Get a presigned URL to upload a file to monday.com. Returns an upload_id and upload_url. After calling this tool, upload the file to the returned URL using an HTTP PUT request and capture the ETag header from the response: curl -i -X PUT "<upload_url>" \ -H "Content-Type: <the contentType you provided>" \ --data-binary @<local_file_path> The response includes an ETag header (e.g. ETag: "abc123...") — save this value. Then call finalize_asset_upload with the upload_id, etag, board_id, item_id, and column_id to complete the upload and attach the file to an item's file column. Max file size: 500MB.
get_asset_upload_url
Get assets (files) by their IDs. Returns file metadata including name, extension, size, public URL (valid for 1 hour), thumbnail URL, upload date, and who uploaded it.
get_assets
Read automation/workflow run history. Read-only. Modes: - "history": paginated run feed (state, duration, error reason). Use "filters" to narrow results and "nextPageOffset" to page (offset-only — next page = previous offset + returned count). - "detail": single run by "triggerUuid" (required) — returns block steps and MCP tool calls. Set "includeToolEvents": false to skip tool calls. Scope: provide "boardId" for a specific board or "accountWide": true. One is required. Known event states: "success", "failure", "exhausted".
get_automation_runs
Aggregate automation run statistics. Read-only. Breakdowns: - "totals": success/failure/total counts at the account or board level. - "by_entity": per-automation and per-workflow counts for a given "runStatus" (required: "success" | "failure" | "exhausted"). Use "excludeAutomationIds" to omit specific automations. Scope: provide "boardId" for a specific board or "accountWide": true. One is required. Optional "userIds" narrows results to specific creators.
get_automation_statistics
Get board activity logs for a specified time range (defaults to last 30 days). Optionally filter by item ids or user ids to avoid fetching activity for the entire board.
get_board_activity
Get comprehensive board information including metadata, structure, owners, and configuration. Also returns the board's views (e.g. table views, filter views) — each view includes its id, name, type, and a structured filter object.
get_board_info
This tool allows you to calculate insights about board's data by filtering, grouping and aggregating columns. For example, you can get the total number of items in a board, the number of items in each status, the number of items in each column, etc. Use this tool when you need to get a summary of the board's data, for example, you want to know the total number of items in a board, the number of items in each status, the number of items in each column, etc.[REQUIRED PRECONDITION]: Before using this tool, if new columns were added to the board or if you are not familiar with the board's structure (column IDs, column types, status labels, etc.), first use get_board_info to understand the board metadata. This is essential for constructing proper filters and knowing which columns are available.[IMPORTANT]: For some columns, human-friendly label is returned inside 'LABEL_<column_id' field. E.g. for column with id 'status_123' the label is returned inside 'LABEL_status_123' field.
board_insights
Get all items from a monday.com board with pagination support and optional column values and item descriptions. Returns structured JSON with item details, creation/update timestamps, and pagination info. Use the nextCursor parameter from the response to get the next page of results when has_more is true. To retrieve an item description (the rich-text body/details of a monday.com item), set includeItemDescription to true — the response will include the item description document blocks with their content, type, and id. Use this whenever the user asks about an item description, body, details, or notes. [REQUIRED PRECONDITION]: Before using this tool, if new columns were added to the board or if you are not familiar with the board structure (column IDs, column types, status labels, etc.), first use get_board_info to understand the board metadata. This is essential for constructing proper filters and knowing which columns are available. [REQUIRED PRECONDITION]: For board-relation / cross-board linking tasks, call link_board_items_workflow before using this tool. VIEW-BASED FILTERING: If the user refers to a board view by name (e.g. "show me items in the Overdue view"), first call get_board_info to get the board views, find the matching view by name, then extract its filter field and pass it as the filters argument here.
get_board_items_page
Retrieves comprehensive information about a specific column type. Use fetchMode "schema" (default) to get the JSON schema definition from the API — use this before creating or updating columns (e.g. create_column) to understand structure, validation rules, and available properties for column settings. Use fetchMode "guidelines" to get only guidelines.filter and guidelines.aggregation for building items_page filters and board insights counts (no schema, no GraphQL round-trip).
get_column_type_info
List the custom activity types available for logging on the CRM timeline, including their IDs (e.g. "Demo", "Site Visit"). The activity type ID is required when creating a structured timeline entry via create-timeline-item.
get-custom-activities
Get a monday.com form by its form token. Form tokens can be extracted from the form's url. Given a form url, such as https://forms.monday.com/forms/abc123def456ghi789?r=use1, the formToken is the alphanumeric string that appears right after /forms/ and before the ?. In the example, the formToken is abc123def456ghi789.
get_form
Fetch the monday.com GraphQL schema structure including query and mutation definitions. This tool returns available query fields, mutation fields, and a list of GraphQL types in the schema. You can filter results by operation type (read/write) to focus on either queries or mutations.
get_graphql_schema
Fetch full content (summary, topics, action items, transcript) for meetings you already have ids for. Get those ids from explore_meetings (topic/listing/browse) or search_meetings_content (passages) first — this tool is NOT for discovery or listing. Pass the ids with the include_ flags for the content you need (defaults to the summary if none are set). Requested ids that are not returned are listed in `missing_ids` (not found, not accessible, or no completed recording); meetings whose content was dropped to keep the response within its size limit are listed in `content_omitted_ids`. The search param is a narrow case-insensitive substring fallback on title, participant name, or email — NOT topic/keyword search.
get_meetings_content
Ask a question about monday.com and get an AI-generated answer from the official knowledge base. Use kind="general" for questions about using monday.com — features, automations, UI, help center, and settings. Returns cited source articles with links. Use kind="developer_docs" for questions about the monday.com API — GraphQL queries and mutations, authentication, rate limits, webhooks, schema, API best practices, and building apps. Important: do not include PII data in the questions.
get_monday_knowledge
Fetch CRM engagement history on a contact, deal, account, or lead — emails sent and received, calls logged, meetings recorded, and notes. Call this tool whenever a CRM entity board (deals, contacts, accounts, leads) is in scope and the user asks about emails, activities, calls, meetings, communication history, or engagement — it is the authoritative source for all CRM-tracked communication. Prefer over Gmail or calendar integrations for any activity on a CRM item. For board-level analysis across multiple items, fetch item IDs first then call this tool per item_id; do not substitute the "count timeline events" board column, which is an aggregate count with no content. If get-board-structure returns "Activities timeline (unsupported)", use this tool. Returns paginated entries with type, title, and timestamp. For custom activity types (e.g. "Demo", "Site Visit"), use get-custom-activities instead.
get-timeline-items
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are monday.com alternatives on ChatGPT?
As of 2026-09-28, monday.com competes with Adobe Workfront, Agiflow, AIOProductOS, Aphex, Asana, Atlassian Rovo (Legacy), Atoll, awork, BasicOps, Breeze, CampusThreads, Cinch, ClickUp, Constructable, COR, Fenra, flow - AI Collaboration tool, Frasma, GetItDone, Hive, Jaggle, JobTread, Linear, MotionHub, Namp, Nifty, Olie Flow AI, Onplana, Orchetta, Plane, Plate, Project Kickoff Pack, Project Plan 365, Riido, Runrun.it, Simply-Useful, SmartFlow Portal, Smartsheet AU, Smartsheet EU, Smartsheet US, Sonjapgo, TaskView, Trello, Voarq, Weft, Wrike in ChatGPT Project & Task Management Platforms, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.