Smartsheet MCP Server
Enables AI agents to read and write Smartsheet data, with support for remote HTTP deployment to Microsoft 365 Copilot and Copilot Studio.
README
Smartsheet MCP Server
A production-ready Model Context Protocol (MCP) server that gives AI agents full read/write access to Smartsheet — equivalent to the native Claude MCP, but deployable as a remote HTTP endpoint for Microsoft 365 Copilot declarative agents and Copilot Studio.
Tools Exposed
| Tool | Description | Read-only |
|---|---|---|
smartsheet_list_sheets |
List all accessible sheets | ✅ |
smartsheet_get_sheet |
Read sheet data (columns + rows + cells) with filters & pagination | ✅ |
smartsheet_get_columns |
Get column definitions and IDs for a sheet | ✅ |
smartsheet_add_rows |
Add rows with cell values and hierarchy placement | ❌ |
smartsheet_update_rows |
Update existing row cells, lock/unlock rows | ❌ |
smartsheet_delete_rows |
Permanently delete rows | ❌ |
smartsheet_add_columns |
Add new columns with type/options | ❌ |
smartsheet_get_report |
Read paginated report data | ✅ |
smartsheet_list_reports |
List all accessible reports | ✅ |
smartsheet_list_workspaces |
List workspaces | ✅ |
smartsheet_browse_workspace |
Browse all contents of a workspace | ✅ |
smartsheet_browse_folder |
Browse folder contents | ✅ |
smartsheet_list_dashboards |
List all dashboards (Sights) | ✅ |
smartsheet_list_sheet_discussions |
Get all discussions on a sheet | ✅ |
smartsheet_list_row_discussions |
Get discussions on a specific row | ✅ |
smartsheet_create_sheet_discussion |
Start a new sheet-level discussion | ❌ |
smartsheet_create_row_discussion |
Start a new row-level discussion | ❌ |
smartsheet_add_comment |
Reply to an existing discussion | ❌ |
smartsheet_delete_comment |
Delete a comment (own comments only) | ❌ |
smartsheet_list_attachments |
List all attachments on a sheet | ✅ |
smartsheet_list_row_attachments |
List attachments on a row | ✅ |
smartsheet_attach_url_to_row |
Attach a URL link to a row | ❌ |
smartsheet_delete_attachment |
Permanently delete an attachment | ❌ |
smartsheet_search |
Full-text search across all Smartsheet assets | ✅ |
smartsheet_search_sheet |
Full-text search within one sheet | ✅ |
smartsheet_get_cell_history |
Audit trail — all historic values of a cell | ✅ |
smartsheet_get_sheet_version |
Check if a sheet was modified (lightweight) | ✅ |
Prerequisites
- Node.js 18+
- A Smartsheet API token — generate one at: Account → Apps & Integrations → API Access
- For M365 Copilot deployment: an Azure App Service or Azure Container Apps to host the HTTP server
Local Development (stdio — Claude Desktop or Copilot Studio local)
npm install
npm run build
# Set your token
export SMARTSHEET_API_TOKEN=your_token_here
# Run in stdio mode (default)
npm start
Claude Desktop config (claude_desktop_config.json)
{
"mcpServers": {
"smartsheet": {
"command": "node",
"args": ["/absolute/path/to/smartsheet-mcp-server/dist/index.js"],
"env": {
"SMARTSHEET_API_TOKEN": "your_token_here"
}
}
}
}
Remote HTTP Deployment (for M365 Copilot)
# Run in HTTP mode
TRANSPORT=http SMARTSHEET_API_TOKEN=your_token_here npm start
# Server listens at http://localhost:3000/mcp
# Health check: GET http://localhost:3000/health
Per-request Token (multi-user / OAuth scenarios)
Each request can pass its own token via header, overriding the server default:
X-Smartsheet-Token: user_specific_token
This supports SSO scenarios where each M365 user authenticates to Smartsheet with their own credentials.
Deploying to Azure App Service
# Build the project
npm run build
# Create a zip of the deployable files
zip -r deploy.zip dist/ package.json package-lock.json
# Deploy via Azure CLI
az webapp deploy --resource-group <rg> --name <app-name> --src-path deploy.zip
# Set environment variables in Azure
az webapp config appsettings set \
--resource-group <rg> \
--name <app-name> \
--settings SMARTSHEET_API_TOKEN=your_token TRANSPORT=http
Your MCP endpoint will be:
https://<app-name>.azurewebsites.net/mcp
Wiring into M365 Copilot (Declarative Agent)
Option A — Copilot Studio (Recommended for EPO/no-code)
- Open Copilot Studio → Create or edit an agent
- Go to Actions → Add an action → Model Context Protocol (MCP)
- Enter your server URL:
https://<app-name>.azurewebsites.net/mcp - Select the tools you want the agent to use
- Configure authentication (API key or OAuth)
- Publish the agent
ℹ️ MCP is now generally available in Copilot Studio as of mid-2025.
Option B — VS Code + Microsoft 365 Agents Toolkit (for IT/Dev)
- Install Microsoft 365 Agents Toolkit extension in VS Code
- Create a new Declarative Agent from the toolkit
- Choose Add Action → Start with an MCP server
- Enter your MCP endpoint URL
- The toolkit auto-generates the plugin manifest by reading your tool schemas
- Pick which tools to expose
- Configure OAuth (Smartsheet supports OAuth 2.0) or API key auth
- Deploy to your M365 tenant via Microsoft 365 Admin Center → Copilot → Agents
Option C — Direct Manifest (Advanced)
The Agents Toolkit auto-generates ai-plugin.json and openapi.json from your MCP server's tool list. These files go into the declarative agent's appPackage/ directory and are uploaded to the Teams App Catalog.
Authentication Options for M365
| Method | When to use |
|---|---|
API Key in header (X-Smartsheet-Token) |
Single shared service account token; simplest setup |
| OAuth 2.0 (per user) | Each user authenticates with their own Smartsheet account; required for per-user audit trails |
| Managed Identity + Key Vault | Best practice for production Azure deployments; store token in Key Vault, bind to App Service MSI |
Smartsheet OAuth App Setup (for per-user auth)
- Go to Smartsheet Developer Portal
- Create a new app → Set redirect URI to
https://teams.microsoft.com/api/platform/v1.0/oAuthRedirect - Copy the Client ID and Client Secret
- In Agents Toolkit: choose OAuth (static registration) and paste these values
Environment Variables
| Variable | Required | Description |
|---|---|---|
SMARTSHEET_API_TOKEN |
Yes (unless using per-request header) | Smartsheet API Bearer token |
TRANSPORT |
No (default: stdio) |
Set to http for remote/Copilot deployments |
PORT |
No (default: 3000) |
HTTP listen port |
Known M365 Copilot Limitations
- Only tools are supported — MCP resources and prompts are ignored by Copilot
- Nested object schemas with
minimum/maximum/defaulton nested properties can fail manifest validation in the Agents Toolkit — strip these if provisioning fails - Max 5 tools injected inline when ≤5 plugins are defined in a declarative agent manifest; above 5, the orchestrator selects dynamically
- Confirmation prompts: Read-only tools (annotated
readOnlyHint: true) don't require user confirmation; write tools do on first call
Project Structure
smartsheet-mcp-server/
├── src/
│ ├── index.ts # Entry point, transport selection
│ ├── types.ts # Smartsheet entity types
│ ├── constants.ts # API base URL, limits
│ ├── services/
│ │ └── smartsheet.ts # API client, auth, error handling
│ └── tools/
│ ├── sheets.ts # Sheet CRUD, rows, columns
│ ├── reports-workspaces.ts # Reports, workspaces, folders, dashboards
│ ├── discussions-attachments.ts # Comments, attachments
│ └── search.ts # Search, cell history, version check
├── dist/ # Compiled JS (after npm run build)
├── package.json
├── tsconfig.json
└── README.md
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。