Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
作者提供的说明(英文原文)
MCP server for monday.com integration.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http monday-com https://mcp.monday.com/mcp --header 'Authorization: your-value'运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"monday-com": {
"url": "https://mcp.monday.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"monday-com": {
"type": "http",
"url": "https://mcp.monday.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 HTTP header这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 monday.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:Authorization
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.0.1)于13个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Enable AI agents to operate reliably within real workflows. This MCP is monday.com's open framework for connecting agents into your work OS - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
This repository, maintained by the monday.com AI team, provides a comprehensive set of tools for AI agent developers who want to integrate with monday.com. Whether you're building AI assistants, automations, or custom integrations, our tools make it easy to connect to the monday.com platform.
👉 New to monday MCP? Start here: [monday.com/w/mcp](https://monday.com/w/mcp)
https://github.com/user-attachments/assets/ed8d24e1-256b-4f6b-9d84-38e54a8703fd
monday.com is a work operating system that powers teams to run processes, projects, and everyday work. Teams use monday.com to plan, track, and manage their work in one centralized platform. It provides a visual, intuitive interface where teams can:
The @mondaydotcomorg/monday-api-mcp package provides a plug-and-play server implementation for the Model Context Protocol (MCP). It allows AI agents to interact with the monday.com API without needing to build complex integrations.
The @mondaydotcomorg/agent-toolkit package provides a powerful set of tools and utilities for building AI agents that interact with the monday.com API, supporting both OpenAI and Model Context Protocol (MCP) implementations.
The fastest, most robust, and reliable way to connect to monday.com. Our hosted MCP service handles all the infrastructure for you - no local setup, automatic updates, and improved performance.
Get started with your favorite AI platform:
Simply add this to your MCP settings:
{
"mcpServers": { "monday-mcp": { "url": "https://mcp.monday.com/mcp" } } }
You might want to run the MCP locally or use the agent toolkit if you need to:
If you don't already have a monday.com account:
To interact with monday.com's API, you'll need an API token:
{
"mcpServers": { "monday-api-mcp": { "command": "npx", "args": [ "@mondaydotcomorg/monday-api-mcp@latest" ], "env": { "MONDAY_TOKEN": "your_monday_api_token" } } } }
To get started with Gemini CLI, you can use the official Gemini CLI extension for monday.com.
The Gemini CLI extension bundles the monday.com MCP server with a context file and custom commands that teaches Gemini how to use the monday.com tools for powerful workflows.
To install the extension run the following command in your terminal:
gemini extensions install https://github.com/mondaycom/mcp
If you prefer to use the MCP server directly without the extension, you can add it with this command:
gemini mcp add -t http monday https://mcp.monday.com/mcp
Once you have either the extension installed or the MCP server added, start Gemini CLI by running:
gemini
Then, authenticate with your monday.com account by running the following command inside Gemini CLI:
/mcp auth monday
This will open a browser window to complete the authentication process. After authenticating, all the monday.com tools and custom commands will be available.
A few custom command to try out for the extension:
/monday:create-item create item in board 123 for "Update the UI"/monday:sprint-summary sprint summary for sprint 853Add to your settings:
{
"mcpServers": { "monday-api-mcp": { "command": "npx", "args": [ "@mondaydotcomorg/monday-api-mcp@latest" ], "env": { "MONDAY_TOKEN": "your_monday_api_token" } } } }
To specify a custom authorization header and API version with the hosted MCP:
{
"mcpServers": { "monday-api-mcp-hosted": { "command": "npx", "args": [ "-p", "node@20", "mcp-remote", "https://mcp.monday.com/mcp", "--header", "Authorization:${AUTH_HEADER}" ], "env": { "AUTH_HEADER": "Bearer " } } } }
You can specify the API version you want to use with the --header parameter:
{
"mcpServers": { "monday-api-mcp-hosted": { "command": "npx", "args": [ "mcp-remote", "https://mcp.monday.com/mcp", "--header", "Api-Version:${API_VERSION}" ], "env": { "API_VERSION": "2025-07" } } } }
For OAuth authentication and workspace controls, install the Monday MCP app from the marketplace:
Our MCP server provides a rich set of tools that give AI assistants the ability to interact with monday.com:
| Category | Tool | Description |
|---|---|---|
| Item Operations | create_item | Create a new item in a monday.com board with specified column values |
| delete_item | Delete an item from a board permanently | |
| get_board_items_by_name | Search for items by board ID and term/name | |
| create_update | Add an update/comment to a specific item | |
| change_item_column_values | Modify the column values of an existing item | |
| move_item_to_group | Move an item to a different group within the same board | |
| Board Operations | create_board | Create a new monday.com board with specified columns |
| get_board_schema | Retrieve the structure of columns and groups for a board | |
| create_group | Create a new group in a monday.com board | |
| create_column | Add a new column to an existing board | |
| delete_column | Remove a column from a board | |
| Account Operations | list_users_and_teams | Retrieve user or team's details by id, name or by searching the account |
| WorkForms Operations | create_form | Create a new monday.com form |
| get_form | Get a form by its token |
Looking to build custom monday.com apps with AI assistance? The Apps Framework Tools provide AI agents with complete access to monday.com's app development platform, enabling you to create, manage, and deploy custom apps directly through AI assistants.
📖 [View Full Apps Framework Tools Documentation](./packages/agent-toolkit/src/core/tools/monday-apps-tools/README.md)
Our Dynamic API Tools feature represents a significant advancement in how AI agents can interact with monday.com. While our standard tools cover common operations, Dynamic API Tools unlock the full potential of the monday.com GraphQL API.
Dynamic API Tools provide AI agents with complete, adaptable access to monday.com's entire API surface. This means your AI assistant can:
| Tool | Description |
|---|---|
| all_monday_api | Generate and execute any GraphQL query or mutation dynamically |
| get_graphql_schema | Fetch monday.com's GraphQL schema to understand available operations |
| get_type_details | Retrieve detailed information about specific GraphQL types |
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只显示了开头部分;其余内容请在仓库中阅读