Monday MCP Server Overview

The Monday MCP Server is a lightweight, plug‑in‑ready service that exposes Monday.com’s project‑management API to AI assistants via the Model Context Protocol (MCP). By translating Monday.com’s GraphQL and REST endpoints into MCP resources, it allows Claude or any other MCP‑compliant client to query boards, items, columns, and automations directly from conversational prompts. This removes the need for developers to write custom integrations or maintain separate authentication flows, enabling instant access to real‑time project data within AI workflows.

At its core, the server provides a single resource that represents the Monday.com workspace. Clients can call methods such as , , or through the MCP tool interface. Each operation is wrapped in a concise JSON schema, so developers can reason about request and response shapes without diving into Monday.com’s documentation. The server handles OAuth token exchange, caching of access tokens, and rate‑limit management, so the AI assistant can focus on generating useful responses rather than dealing with authentication plumbing.

Key features include:

• Unified API surface – GraphQL queries and REST calls are abstracted into a uniform MCP tool set, simplifying the client side.
• Secure authentication – OAuth 2.0 flows are encapsulated within the server, exposing only a short‑lived access token to the assistant.
• Dynamic schema discovery – The server can introspect Monday.com’s schema and expose updated tool definitions on the fly, keeping the assistant in sync with workspace changes.
• Extensible actions – Developers can add custom endpoints (e.g., bulk updates, webhook handling) by extending the server’s handler functions.

Typical use cases involve project managers using an AI assistant to generate status reports, schedule new tasks, or automatically update progress columns based on natural language commands. For example, a user might ask the assistant to “create a new item in the ‘Sprint Backlog’ board with priority high and assign it to Alice.” The assistant translates this into an MCP tool call, which the server forwards as a Monday.com mutation. The response is then incorporated into the conversation, giving users instant feedback.

Integrating the Monday MCP Server into existing AI pipelines is straightforward: developers deploy the server (e.g., on a cloud function or container), configure the MCP client with its endpoint, and expose the generated tool definitions to the assistant. Because the server follows MCP conventions, any AI platform that supports the protocol can consume it without modification. This makes the Monday MCP Server a powerful bridge between conversational AI and enterprise project data, enabling developers to build intelligent assistants that can read from and write to Monday.com with minimal effort.