
Enable AI agents to work reliably - giving them secure access to structured data, tools to take acti
Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
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Enable AI agents to operate reliably within real workflows. This MCP is monday.com's open framework for connecting agents into your work OS - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
This repository, maintained by the monday.com AI team, provides a comprehensive set of tools for AI agent developers who want to integrate with monday.com. Whether you're building AI assistants, automations, or custom integrations, our tools make it easy to connect to the monday.com platform.
👉 New to monday MCP? Start here: monday.com/w/mcp
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monday.com is a work operating system that powers teams to run processes, projects, and everyday work. Teams use monday.com to plan, track, and manage their work in one centralized platform. It provides a visual, intuitive interface where teams can:
The @mondaydotcomorg/monday-api-mcp package provides a plug-and-play server implementation for the Model Context Protocol (MCP). It allows AI agents to interact with the monday.com API without needing to build complex integrations.
The @mondaydotcomorg/agent-toolkit package provides a powerful set of tools and utilities for building AI agents that interact with the monday.com API, supporting both OpenAI and Model Context Protocol (MCP) implementations.
The fastest, most robust, and reliable way to connect to monday.com. Our hosted MCP service handles all the infrastructure for you - no local setup, automatic updates, and improved performance.
Get started with your favorite AI platform:
Simply add this to your MCP settings:
{
"mcpServers": {
"monday-mcp": {
"url": "https://mcp.monday.com/mcp"
}
}
}You might want to run the MCP locally or use the agent toolkit if you need to:
If you don't already have a monday.com account:
To interact with monday.com's API, you'll need an API token:
{
"mcpServers": {
"monday-api-mcp": {
"command": "npx",
"args": [
"@mondaydotcomorg/monday-api-mcp@latest"
],
"env": {
"MONDAY_TOKEN": "your_monday_api_token"
}
}
}
}To get started with Gemini CLI, you can use the official Gemini CLI extension for monday.com.
The Gemini CLI extension bundles the monday.com MCP server with a context file and custom commands that teaches Gemini how to use the monday.com tools for powerful workflows.
To install the extension run the following command in your terminal:
gemini extensions install https://github.com/mondaycom/mcpIf you prefer to use the MCP server directly without the extension, you can add it with this command:
gemini mcp add -t http monday https://mcp.monday.com/mcpOnce you have either the extension installed or the MCP server added, start Gemini CLI by running:
geminiThen, authenticate with your monday.com account by running the following command inside Gemini CLI:
/mcp auth mondayThis will open a browser window to complete the authentication process. After authenticating, all the monday.com tools and custom commands will be available.
A few custom command to try out for the extension:
/monday:create-item create item in board 123 for "Update the UI"/monday:sprint-summary sprint summary for sprint 853Add to your settings:
{
"mcpServers": {
"monday-api-mcp": {
"command": "npx",
"args": [
"@mondaydotcomorg/monday-api-mcp@latest"
],
"env": {
"MONDAY_TOKEN": "your_monday_api_token"
}
}
}
}Ask Claude or your AI assistant a question like:
Your assistant should now be able to interact with your monday.com account!
To specify a custom authorization header and API version with the hosted MCP:
{
"mcpServers": {
"monday-api-mcp-hosted": {
"command": "npx",
"args": [
"-p",
"node@20",
"mcp-remote",
"https://mcp.monday.com/mcp",
"--header",
"Authorization:${AUTH_HEADER}"
],
"env": {
"AUTH_HEADER": "Bearer <your_token>"
}
}
}
}You can specify the API version you want to use with the --header parameter:
{
"mcpServers": {
"monday-api-mcp-hosted": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.monday.com/mcp",
"--header",
"Api-Version:${API_VERSION}"
],
"env": {
"API_VERSION": "2025-07"
}
}
}
}For OAuth authentication and workspace controls, install the Monday MCP app from the marketplace:
Our MCP server provides a rich set of tools that give AI assistants the ability to interact with monday.com:
| Category | Tool | Description |
|---|---|---|
| Item Operations | create_item | Create a new item in a monday.com board with specified column values |
| delete_item | Delete an item from a board permanently | |
| get_board_items_by_name | Search for items by board ID and term/name | |
| create_update | Add an update/comment to a specific item | |
| change_item_column_values | Modify the column values of an existing item | |
| move_item_to_group | Move an item to a different group within the same board | |
| Board Operations | create_board | Create a new monday.com board with specified columns |
| get_board_schema | Retrieve the structure of columns and groups for a board | |
| create_group | Create a new group in a monday.com board | |
| create_column | Add a new column to an existing board | |
| delete_column | Remove a column from a board | |
| Account Operations | list_users_and_teams | Retrieve user or team's details by id, name or by searching the account |
| WorkForms Operations | create_form | Create a new monday.com form |
| get_form | Get a form by its token |
Looking to build custom monday.com apps with AI assistance? The Apps Framework Tools provide AI agents with complete access to monday.com's app development platform, enabling you to create, manage, and deploy custom apps directly through AI assistants.
📖 View Full Apps Framework Tools Documentation
Our Dynamic API Tools feature represents a significant advancement in how AI agents can interact with monday.com. While our standard tools cover common operations, Dynamic API Tools unlock the full potential of the monday.com GraphQL API.
Dynamic API Tools provide AI agents with complete, adaptable access to monday.com's entire API surface. This means your AI assistant can:
| Tool | Description |
|---|---|
| all_monday_api | Generate and execute any GraphQL query or mutation dynamically |
| get_graphql_schema | Fetch monday.com's GraphQL schema to understand available operations |
| get_type_details | Retrieve detailed information about specific GraphQL types |
With Dynamic API Tools, your AI assistants can:
Dynamic API Tools are in beta and disabled by default. Enable them with:
MONDAY_TOKEN=your_monday_api_token npx @mondaydotcomorg/monday-api-mcp@latest --enable-dynamic-api-tools trueYou can also use the 'only' mode to exclusively enable Dynamic API Tools:
MONDAY_TOKEN=your_monday_api_token npx @mondaydotcomorg/monday-api-mcp@latest --enable-dynamic-api-tools onlyWhen 'only' mode is enabled, the server will provide just the Dynamic API Tools, filtering out all other standard tools. This is useful for advanced users who want to work directly with the GraphQL API.
⚠️ Note: Dynamic API Tools require full API access and are not compatible with read-only mode.
| Argument | Flags | Description | Required | Default |
|---|---|---|---|---|
| monday.com API Token | --token, -t | monday.com API token | Yes | - |
| API Version | --version, -v | monday.com API version | No | current |
| Mode | --mode, -m | Tool mode: default for standard platform tools, apps for Apps Framework tools | No | default |
| Read Only Mode | --read-only, -ro | Enable read-only mode | No | false |
| Dynamic API Tools | --enable-dynamic-api-tools, -edat | Enable dynamic API tools | No | false |
The server requires a monday.com API token to authenticate with the monday.com API. You can provide this token in two ways:
MONDAY_TOKEN=your_monday_api_token-t your_monday_api_token--read-only) when you only need to retrieve dataHere are some examples of what you can build with our tools:
Before using these tools, make sure you have:
To develop for the repo:
yarn installyarn buildmonday-api-mcp package. "monday-api-mcp": {
"command": "node",
"args": [
"<your_full_path_to_the_package>/dist/index.js",
"--enable-dynamic-api-tools",
"true"
],
"env": {
"MONDAY_TOKEN": "your_monday_api_token"
}
}We welcome contributions from the community! Whether it's fixing bugs, improving documentation, or adding new features, your help is appreciated.
git checkout -b feature/amazing-featuregit commit -m 'Add some amazing feature'git push origin feature/amazing-featureThis project is licensed under the MIT License - see the LICENSE file for details.
It is clarified that the server uses the monday.com API, which is subject to monday.com's Developer Terms
Built with ❤️ by the monday.com AI Team
Pick your client and paste the snippet. Each one is the same server, written the way that client expects it.
claude mcp add monday-mcp --transport http https://mcp.monday.com/mcp{
"mcpServers": {
"monday-mcp": {
"url": "https://mcp.monday.com/mcp"
}
}
}code --add-mcp '{"name":"monday-mcp","url":"https://mcp.monday.com/mcp"}'Runs as a hosted service. Your client connects over the network and nothing is installed locally.
Paste this prompt into your agent. It reads this page and does the setup for you.
Read https://aiagentslisting.com/mcp/monday-com-mcp-server to learn what the "monday.com MCP Server" MCP server does and how to install it. Add it to my coding agent's MCP configuration as documented on that page, then confirm the server connects and list the tools it exposes.Agents can also browse this directory over MCP at https://aiagentslisting.com/api/mcp
This server doesn't publish a machine-readable tool manifest, and it doesn't expose a public endpoint we could ask. Connect the server locally to see what it exposes.
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Connect to the AI Agents Listing MCP server at https://aiagentslisting.com/api/mcp using the HTTP transport and complete the sign-in when it asks. Then call the submit_review tool for the listing "monday-com-mcp-server" with a rating from 1 to 5 and a short note on what worked and what did not.No reviews yet
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