Monday.com is a Productivity MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent work management and project tracking. Install in 1 minute with mcpizy install monday.
Productivity
Work management and project tracking
mcpizy install mondaynpx -y monday-mcpMonday.com MCP exposes the Monday GraphQL API as agent tools: `list_boards`, `get_board`, `list_items`, `create_item`, `update_item`, `add_comment`, `search_items`. Authentication is a Monday API token at the account level. The MCP handles the Monday-specific concept of "columns" — items have typed columns (status, person, date, formula) and the API returns them as a column-values array.
We use Monday MCP in two workflows. First, project-status reporting: "summarise the engineering board, group by status column" — the agent walks items, groups by status, produces a digest. Second, cross-tool sync: a Linear issue closes, the agent updates the corresponding Monday item via `update_item`. Token cost is moderate; a board with 50 items and 8 columns each is ~6-10k tokens. Column-values are dense JSON, so projection ("only fetch the status and date columns") helps a lot.
Compared to Linear or Jira MCPs, Monday wins when the team is non-engineering (sales, marketing, ops) and uses Monday as a project ops hub. The trade-off: Monday's data model is flexible but less standard — every board has its own columns, and the agent has to learn the schema board-by-board. Compared to Notion or Airtable for similar use cases, Monday wins on workflow primitives (status updates, ownership, due-date enforcement) and loses on document-style content.
Column types are not always obvious from names. A column called "Owner" might be `person` or `text` — querying with the wrong type returns empty. Have the agent call `get_board` first to read the schema.
`update_item` requires the column ID, not the column name. The IDs are short hashes (`status_1`) generated by Monday. Pin them in the system prompt or have the agent re-resolve from `get_board` each session.
The GraphQL API has a complexity budget — each request costs some points and the daily budget is per-tier (10M complexity points/day on most paid plans). Aggressive fetches across many boards can hit it.
Webhooks-based triggers are not exposed by the MCP — for event-driven flows (item-changed-status → do something), you still need Monday's webhook system + an external service.
Honest pros/cons against the closest productivity MCP servers.
| Server | Strengths | Trade-offs |
|---|---|---|
| Linear MCP | Engineering-first, cleaner data model, faster API | Less flexible columns, not for non-engineering ops |
| Notion MCP | Better for prose-and-data hybrids, more flexible | Weaker workflow enforcement, no native status pipelines |
| Asana MCP (community) | Similar surface to Monday, popular in mid-market | Smaller MCP community, OAuth flow heavier |
If Monday.com doesn't fit your stack, these Productivity MCP servers solve similar problems.
The Monday.com MCP server is an Productivity Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents work management and project tracking. It exposes Monday.com's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install monday` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y monday-mcp` and restarting Claude Code.
Yes. The Monday.com MCP server is free and open source. You may still need a Monday.com account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can work management and project tracking directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run Monday.com operations, inspect results, chain Monday.com with other MCP servers (see our Workflow Recipes), and automate repetitive productivity tasks without leaving your editor.