Enable seamless interaction with Monday.com boards and items using the MCP server integration
The Monday.com MCP (Model Context Protocol) Server is a specialized solution designed to enable seamless communication between AI applications and the data management platform, Monday.com. By implementing both the protocol for interaction and a suite of command-line tools, this server allows users and developers to manage their boards, items, updates, and documents within an AI-driven workflow.
The Sunday.com MCP Server supports a wide array of features that cater to various operational needs. Key functionalities include:
These capabilities are fundamental for integrating AI applications like Claude Desktop with specific data management structures, ensuring that the application can seamlessly communicate and manipulate data stored on Monday.com. The integration supports a broad set of MCP clients including Claude Desktop, Continue, Cursor, and others as detailed in the compatibility matrix below.
The Sunday.com MCP Server operates by adhering to the Model Context Protocol (MCP), designed for universal adapter standards in AI applications. The server's architecture is built around a RESTful API framework that handles requests from MCP clients and translates them into actions on Monday.com. Each command executed via CLI tools like monday-create-item
corresponds directly with the appropriate MCP operation, ensuring robust and consistent interactions.
The process involves:
This approach ensures that the server can handle complex operations while maintaining a simple interface for clients to interact with Monday.com effectively.
Setting up the Sunday.com MCP Server involves a few straightforward steps. This section outlines how developers can integrate this tool into their workflow, making it compatible with various AI applications and environments like MacOS, Windows, or Docker containers.
On MacOS:
{
"mcpServers": {
"monday": {
"command": "uvx",
"args": [
"mcp-server-monday"
],
"env": {
"MONDAY_API_KEY": "your-monday-api-key",
"MONDAY_WORKSPACE_NAME": "your-monday-workspace-name"
}
}
}
}
On Windows:
{
"mcpServers": {
"monday-docker": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"MONDAY_API_KEY=your-monday-api-key",
"-e",
"MONDAY_WORKSPACE_NAME=your-monday-workspace-name",
"sakce/mcp-server-monday"
]
}
}
}
To install the Sunday.com MCP server for Claude Desktop via Smithery, execute:
npx -y @smithery/cli install @sakce/mcp-server-monday --client claude
This method streamlines the setup process and ensures all required configurations are applied automatically.
AI applications can use this server to sync tasks across platforms. For instance, a user creates an item on Monday.com which triggers an update in a local task management system or another AI application through the protocol.
Technical Implementation: Through an MCP client like Claude Desktop, developers can create and manage tasks programmatically, ensuring that all updates are propagated efficiently.
AI applications can leverage this server to handle document collaboration among team members. Teams working on projects can use it to share documents or update existing ones in real-time via MCP connections.
Technical Implementation: By utilizing the monday-get-doc-content
tool, an AI application can retrieve and modify document content from Monday.com, keeping all stakeholders informed of changes instantly.
The Sunday.com MCP Server supports full compatibility with popular MCP clients including:
Claude Desktop:
Continue:
Cursor:
The MCP protocol ensures that any client adhering to the standard can interact seamlessly with the Sunday.com server. This broad compatibility supports a wide range of use cases from project management to comprehensive document handling in AI workflows.
Below is the compatibility matrix indicating which features and tools are supported by different MCP clients:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
In addition to the basic setup, advanced configuration helps enhance performance and security. Developers can customize environment variables for improved stability and add additional layers of protection.
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Here, API_KEY
is an essential variable that needs to be properly set for secure access.
Q: How does the Sunday.com MCP server handle document content in real-time?
Q: Can I use this server with multiple AI clients simultaneously?
Q: Is there any specific API key required to use Monday.com through this server?
Q: How does the protocol handle large data sets within documents onMonday.com?
Q: Can I integrate third-party tools with Claude Desktop via this server?
Developers are encouraged to contribute to the project by submitting bug reports, enhancing features, or even contributing new tools. Instructions are provided in the repository for setting up a development environment:
Clone the Repository:
git clone https://github.com/sakce/mcp-server-monday.git
Setup Environment: Run necessary commands to install dependencies and configure the server.
Testing: Use pre-configured test scenarios to ensure your contributions meet the expected standards.
For further details and integrations, explore additional resources within the Model Context Protocol (MCP) ecosystem:
npx @modelcontextprotocol/inspector uv run mcp-server-monday
By leveraging the resources and tools provided, developers can build robust integrations that enhance AI application capabilities with Monday.com's powerful features.
This comprehensive documentation positions the Sunday.com MCP Server as a key component in facilitating seamless integration between AI-driven applications and data management platforms like Monday.com.
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