by prat011
Integrate with Monday.com for streamlined project management, team collaboration tools, and project tracking software fo
Integrates with Monday.com to enable creating items, retrieving board groups, adding comments, listing boards, and managing sub-items for project management and team collaboration workflows.
Monday.com is a community-built MCP server published by prat011 that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Monday.com for streamlined project management, team collaboration tools, and project tracking software fo It is categorized under productivity.
You can install Monday.com in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Monday.com is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We evaluated Monday.com against two servers with overlapping tools; this profile had the clearer scope statement.
Strong directory entry: Monday.com surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: Monday.com is the kind of server we cite when onboarding engineers to host + tool permissions.
Monday.com is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Monday.com reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Monday.com for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Monday.com has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired Monday.com into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: Monday.com is the kind of server we cite when onboarding engineers to host + tool permissions.
Strong directory entry: Monday.com surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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MCP Server for monday.com, enabling MCP clients to interact with Monday.com boards, items, updates, and documents.
The server implements the following tools:
monday-create-item: Creates a new item or sub-item in a Monday.com boardmonday-get-board-groups: Retrieves all groups from a specified Monday.com boardmonday-create-update: Creates a comment/update on a Monday.com itemmonday-list-boards: Lists all available Monday.com boardsmonday-list-items-in-groups: Lists all items in specified groups of a Monday.com boardmonday-list-subitems-in-items: Lists all sub-items for given Monday.com itemsmonday-create-board: Creates a new Monday.com boardmonday-create-board-group: Creates a new group in a Monday.com boardmonday-move-item-to-group: Moves a Monday.com item to a different groupmonday-delete-item: Deletes a Monday.com itemmonday-archive-item: Archives a Monday.com itemmonday-get-item-updates: Retrieves updates/comments for a specific itemmonday-get-docs: Lists documents in Monday.com, optionally filtered by foldermonday-get-doc-content: Retrieves the content of a specific documentmonday-create-doc: Creates a new document in Monday.commonday-add-doc-block: Adds a block to an existing documenthttps://myworkspace.monday.com/, the workspace name is myworkspace.On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
"mcpServers": {
"monday": {
"command": "uvx",
"args": [
"mcp-server-monday"
],
"env": {
"MONDAY_API_KEY": "your-monday-api-key",
"MONDAY_WORKSPACE_NAME": "your-monday-workspace-name"
}
}
}
"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 prepare the package for distribution:
uv sync
uv build
This will create source and wheel distributions in the dist/ directory.
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
--token or UV_PUBLISH_TOKEN--username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORDSince MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv run mcp-server-monday
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.