productivity

Monday.com

prat011

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.

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  • / General purpose MCP workflows

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    what it does

    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.

    about

    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.

    how to install

    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.

    license

    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.

    readme

    Monday.com MCP server

    MCP Server for monday.com, enabling MCP clients to interact with Monday.com boards, items, updates, and documents.

    Components

    Tools

    The server implements the following tools:

    • monday-create-item: Creates a new item or sub-item in a Monday.com board
    • monday-get-board-groups: Retrieves all groups from a specified Monday.com board
    • monday-create-update: Creates a comment/update on a Monday.com item
    • monday-list-boards: Lists all available Monday.com boards
    • monday-list-items-in-groups: Lists all items in specified groups of a Monday.com board
    • monday-list-subitems-in-items: Lists all sub-items for given Monday.com items
    • monday-create-board: Creates a new Monday.com board
    • monday-create-board-group: Creates a new group in a Monday.com board
    • monday-move-item-to-group: Moves a Monday.com item to a different group
    • monday-delete-item: Deletes a Monday.com item
    • monday-archive-item: Archives a Monday.com item
    • monday-get-item-updates: Retrieves updates/comments for a specific item
    • monday-get-docs: Lists documents in Monday.com, optionally filtered by folder
    • monday-get-doc-content: Retrieves the content of a specific document
    • monday-create-doc: Creates a new document in Monday.com
    • monday-add-doc-block: Adds a block to an existing document

    Setup

    1. Create and save a personal API Token in Monday.com by following the instructions here.
    2. Get the Workspace Name from the URL of your Monday.com workspace. For example, if the URL is https://myworkspace.monday.com/, the workspace name is myworkspace.

    Quickstart

    Using Rube

    1. Go to (Rube.app)[https://rube.app/]
    2. Install Rube in your preferred client including Cursor, Claude, VS Code, Windsurf etc.,
    3. Complete authentication with Rube
    4. You can now execute actions on Monday.com like creating items, posting updates, moving items

    Install

    Claude Desktop

    On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

    On Windows: %APPDATA%/Claude/claude_desktop_config.json

    Using uvx
    "mcpServers": {
      "monday": {
        "command": "uvx",
        "args": [
          "mcp-server-monday"
        ],
        "env": {
          "MONDAY_API_KEY": "your-monday-api-key",
          "MONDAY_WORKSPACE_NAME": "your-monday-workspace-name"
        }
      }
    }
    
    Using Docker
    "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"
        ]
      }
    }
    

    Development

    Building and Publishing

    To prepare the package for distribution:

    1. Sync dependencies and update lockfile:
    uv sync
    
    1. Build package distributions:
    uv build
    

    This will create source and wheel distributions in the dist/ directory.

    1. Publish to PyPI:
    uv publish
    

    Note: You'll need to set PyPI credentials via environment variables or command flags:

    • Token: --token or UV_PUBLISH_TOKEN
    • Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

    Debugging

    Since 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.

    FAQ

    What is the Monday.com MCP server?
    Monday.com is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
    How do MCP servers relate to agent skills?
    Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
    How are reviews shown for Monday.com?
    This profile displays 63 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

    Use Cases

    Extended AI Capabilities

    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

    Context Enhancement

    Provide Claude with access to relevant context and data

    Example

    Load project documentation, access knowledge bases, query databases

    Get more accurate, context-aware responses

    Workflow Automation

    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

    Implementation Guide

    Prerequisites

    • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
    • Basic understanding of MCP architecture and capabilities
    • Access credentials for integrated services (if required)
    • Willingness to experiment and iterate on configuration

    Time Estimate

    15-60 minutes depending on server complexity

    Installation Steps

    1. 1.Install MCP server: npm install -g [package-name] or via GitHub
    2. 2.Add server configuration to ~/.claude/mcp.json
    3. 3.Provide required credentials and configuration
    4. 4.Restart Claude Desktop to load new server
    5. 5.Test basic functionality with simple prompts
    6. 6.Explore capabilities and experiment with use cases
    7. 7.Document successful patterns for reuse

    Troubleshooting

    • MCP server not loading: Check config syntax, verify installation
    • Connection errors: Check network, firewall, credentials
    • Feature not working: Read server docs, check required parameters
    • Performance issues: Monitor resource usage, check for network latency
    • Conflicts with other servers: Check port assignments, namespace collisions

    Best Practices

    ✓ Do

    • +Read server documentation thoroughly before setup
    • +Start with simple use cases to validate functionality
    • +Test in non-production environment first
    • +Monitor resource usage and performance
    • +Keep servers updated for bug fixes and new features
    • +Document configuration for team members
    • +Use environment variables for sensitive configuration

    ✗ Don't

    • Don't grant overly permissive access to MCP servers
    • Don't skip reading security considerations in docs
    • Don't expose sensitive data without proper controls
    • Don't run untrusted MCP servers without code review
    • Don't ignore error messages—investigate root cause

    💡 Pro Tips

    • Combine multiple MCP servers for powerful workflows
    • Create custom MCP servers for your specific needs
    • Share successful configurations with team
    • Use MCP inspector for debugging
    • Join MCP community for tips and troubleshooting

    Technical Details

    Architecture

    Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

    Protocols

    • Model Context Protocol (MCP)
    • JSON-RPC 2.0
    • stdio or HTTP transport

    Compatibility

    • Claude Desktop
    • Cursor IDE
    • Custom MCP clients

    When to Use This

    ✓ 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.

    Integration

    • Tool composition: Chain multiple MCP tools in workflows
    • Context augmentation: Provide AI with relevant external data
    • Action delegation: Let AI execute tasks on external systems
    • Bidirectional sync: Keep AI context and external systems in sync

    Discussion

    Product Hunt–style comments (not star reviews)
    • No comments yet — start the thread.

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    Ratings

    4.663 reviews
    • Shikha Mishra· Dec 28, 2024

      We evaluated Monday.com against two servers with overlapping tools; this profile had the clearer scope statement.

    • Advait Gill· Dec 28, 2024

      Strong directory entry: Monday.com surfaces stars and publisher context so we could sanity-check maintenance before adopting.

    • Evelyn Wang· Dec 24, 2024

      Useful MCP listing: Monday.com is the kind of server we cite when onboarding engineers to host + tool permissions.

    • Emma Li· Dec 16, 2024

      Monday.com is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

    • Mei Farah· Dec 4, 2024

      Monday.com reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

    • Advait Ghosh· Nov 23, 2024

      I recommend Monday.com for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

    • Rahul Santra· Nov 19, 2024

      Monday.com has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

    • Jin Brown· Nov 19, 2024

      We wired Monday.com into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

    • Jin Martin· Nov 19, 2024

      Useful MCP listing: Monday.com is the kind of server we cite when onboarding engineers to host + tool permissions.

    • Evelyn Patel· Nov 15, 2024

      Strong directory entry: Monday.com surfaces stars and publisher context so we could sanity-check maintenance before adopting.

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