monday

Official
367
GitHub Repo

Overview

The monday MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with Monday.com, the work management and project tracking platform. It allows AI-driven workflows to create, update, and reason about boards, items, groups, and statuses — bringing operational and planning context directly into AI-assisted workflows.

This server is especially useful for project management, team coordination, operational tracking, and workflow automation where Monday.com is the system of record.

Transport

sse

Tools

  • get_board_items_by_name
  • create_item
  • create_update
  • get_board_activity
  • get_board_info
  • create_board
  • create_column
  • list_users_and_teams
  • all_monday_api
  • get_graphql_schema
  • get_column_type_info
  • get_type_details
  • read_docs
  • workspace_info
  • list_workspaces
  • create_doc
  • create_dashboard
  • all_widgets_schema

Key Capabilities

  • Work item management — Create, update, and inspect tasks, items, and boards programmatically.
  • Project visibility — Reason about board structure, groups, statuses, and progress.
  • Workflow automation — Integrate Monday.com actions into AI-driven operational flows.
  • Team coordination — Understand ownership, assignments, and responsibility across work items.
  • Operational insight — Enable assistants to summarize progress, blockers, and workload distribution.

How It Works

The monday MCP server runs as an MCP service and connects to Monday.com using authenticated credentials with appropriate scopes. AI clients communicate with the server over the MCP protocol to request work-management context or apply updates as part of broader reasoning workflows.

The server mediates access to Monday.com’s APIs, handling authentication, request execution, and response normalization. Results are returned in structured formats that AI assistants can reason over directly, while respecting board permissions and workspace access controls.

By exposing Monday.com through MCP, the server enables AI-driven workflows such as project status summarization, task triage, planning support, and operational reporting — all within a single AI-assisted environment that integrates planning with execution.