monday.com MCP Integration Guide: Connect AI Agents to Your Workspace (2025)

Ishani Dhar Chowdhury
Jun 5
5 min read

Imagine: You get to supercharge monday AI capabilities within operational workflows. What if you can connect new AI agents and third-party apps to your monday.com account?

The newly released monday MCP can help you make smarter decisions with this WorkOS tool. Also called the Model Context Protocol, this is a universal standard for AI models.

Amir Cohen, AI & Platform GMT Lead at monday.com, wrote on LinkedIn, "MCP connects AI models to external tools, environments, and data sources." That means you can ask an AI agent on one platform to perform actions on another.

It's safe to say that monday MCP is aiming to re-envision the way we work. In this blog post, we'll discuss the basics you must know about this new feature.

What is monday MCP?

First things first, let's understand what this new MCP update is all about. Is it worth your knowledge, and will it truly help?

To answer that, we believe that monday AI just got better. AI agents can now operate reliably within real workflows.

monday.com MCP is an open framework that connects agents to your WorkOS platform. It helps:

Give secure access to structured data.
Ensure tools to take action based on commands.
Provide context to make smarter decisions.

monday MCP Capabilities

With this feature, you can:

Update columns.
Pull insights.
Post updates.
Summarise boards.
Assign owners and dates.
Create items.

Examples: To create items, you can give a prompt," Add design-review tasks, assign to me." For pulling insights, the prompt can be "Show me the deals closing this week that are assigned to me."

Fruition's Explanation About monday MCP

monday consultants at Fruition have simplified MCP for you. In a LinkedIn Post, we mentioned that this feature allows AI assistants like Claude to access monday Workspace data directly.

Fruition's LinkedIn Post about monday MCP

That means monday.com MCP doesn't need you to copy information back and forth. AI can now automatically "watch" or "see" your boards, projects, and tasks.

You might wonder why this update should matter. Well, it ensures your AI assistant becomes a valued and true team member. With it, your WorkOS can analyse data, help manage projects without manual interference, and suggest improvements.

This will result in faster insights, smarter workflows with less effort, and automated reporting capabilities. Reach out to a monday.com expert at Fruition to leverage MCP capabilities and transform the overall experience.

Consult a monday Implementation Specialist

The monday MCP Repository

The monday.com AI team maintains this repository to help users get the most out of this feature. It provides:

AI agent developers with a comprehensive set of tools.
An ability to integrate with monday.com WorkOS without hassle.
AI assistant, automation, and custom integration builders.

All in all, the monday MCP Repository makes it easy for you to connect AI agents and other apps with the platform. You'll find this in GitHub, and it will come with:

monday API MCP Server: This package provides a "plug-and-play" server implementation, allowing AI agents to interact with monday API without building complex integrations.
Agent Toolkit: This package is a powerful set of tools and utilities that help build AI agents that interact with the monday.com API. It supports both OpenAI and MCP implementations.

GitHub monday MCP Server Tools: Agent Toolkit

Use Case Examples: What Can You Use monday MCP Repository For?

The monday MCP server is dynamic and can unlock unique workflow possibilities. Some of them include the following:

Project Management: You can use AI Assistants for project management by creating and managing tasks in monday Boards. Using the MCP feature, you'll get updates on project status and move items between groups as they progress.
Data Analysis and Reporting: monday MCP integrations can help you generate reports and insights by extracting data from monday Dashboards. You can also create new boards for reporting.
Automated Workflows: Users get to create items based on any external trigger. You can also update their status based on conditions after linking related items across boards.

These are some examples of what you can build with GitHub's monday MCP Repository. To know more about configuration, security, and installation, read this guide.

Why Do You Need monday MCP?

Businesses are increasingly adopting AI technologies. That's why understanding the interplay and connection between emerging tools and existing platforms is crucial.

monday MCP was introduced as an attempt to maximise their potential, connect AI tools to the platform, and supercharge workflows. It's the easiest way to connect all your AI assistants to the monday.com Workspace.

AI Assistants Supported

The monday.com remote MCP can connect your favourite tools with a few clicks. They include:

Claude Desktop
Cursor
Windsurf
Microsoft Copilot Studio
Visual Studio Code

Once integrated, they can securely access monday Boards with the permissions you control. For instance, you can prompt them to create items or boards, update statuses, post summaries, generate insights, assign owners, and more.

Choosing this option won't require any code or servers to manage. It'll just be AI-powered productivity.

Key Advantages of monday MCP

monday MCP comes with the following advantages:

Fully managed connector, so there's no hosting needed.
AI assistants give access to the full monday GraphQL API since it's built for scale.
Offers support for prompt-based and flexible workflows.
Connect AI tools in minutes with the fast setup capability.

On top of that, this feature gives seamless OAuth authentication. You can authorise once and control whatever workspaces the assistant is allowed to access.

monday MCP Integration: The Basics

With monday MCP, you don't have to go through complex integrations. However, we do suggest consulting with a monday.com expert before moving ahead.

The monday consultants at Fruition can help you integrate this feature into existing workflows. Before connecting to the server, we'll ensure:

You have Node.js v20 and NPM v5.2.0 or higher installed with a monday API Token.
Admin has installed the remote MCP server app and granted access to the workspaces.
Copying the MCP server URL: https://mcp.monday.com/sse
Opening the AI tool and following the MCP connection guide.

Once connected, our monday.com implementation specialists will ensure each user is prompted to authorise access via OAuth. To learn more about monday MCP integrations, reach out to us, and we'll discuss your needs.

FAQs

What is monday MCP?

monday.com MCP, or Model Content Protocol, is an open standard integration. It connects AI agents with monday Boards, ensuring AI can perform actions on the user's behalf. It allows two-way communication between monday Workspaces using data and prompts. This secures workflows by automating tasks through a universal protocol.

What can monday MCP do?

With monday MCP, your team can enable automation tools and AI to interact directly with the boards and items. It allows for managing and creating sub-items and items. You can also give prompts to add users to tasks, add updates, or make comments. It lets you retrieve board and group data, automate workflows, streamline task management, and cross-application automation.