MCPInstall

dingtalk-workspace-cli

by reason-machinesProductivity & Automation

DingTalk Workspace CLI (dws) — cross-platform tool for managing DingTalk enterprise data (contacts, calendars, docs, todos, AI tables, chat) via command line and AI agents

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/reason-machines/devtools-skills --skill dingtalk-workspace-cli
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads dingtalk-workspace-cli automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

DingTalk Workspace CLI (dws)

Skill by ara.so — Devtools Skills collection.

DingTalk Workspace CLI (dws) is an officially open-sourced cross-platform CLI tool from DingTalk that unifies DingTalk's full suite of product capabilities (contacts, calendars, documents, todos, AI tables, chat, drive, attendance, reports, meetings) into a single package. It's designed for both human users and AI agent scenarios, with structured JSON responses, OAuth device-flow authentication, and enterprise-grade security.

Installation

macOS / Linux:

curl -fsSL https://raw.githubusercontent.com/DingTalk-Real-AI/dingtalk-workspace-cli/main/scripts/install.sh | sh

Windows (PowerShell):

irm https://raw.githubusercontent.com/DingTalk-Real-AI/dingtalk-workspace-cli/main/scripts/install.ps1 | iex

npm (requires Node.js):

npm install -g dingtalk-workspace-cli

Build from source (Go 1.25+):

git clone https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git
cd dingtalk-workspace-cli
go build -o dws ./cmd
cp dws ~/.local/bin/

Upgrade (requires v1.0.7+):

dws upgrade                    # interactive upgrade
dws upgrade --check            # check without installing
dws upgrade --version v1.0.7   # specific version
dws upgrade --rollback         # rollback

Authentication

Interactive login (browser):

dws auth login

Device flow (headless environments):

dws auth login --device

Custom app (CI/CD, ISV integration):

dws auth login --client-id $DINGTALK_CLIENT_ID --client-secret $DINGTALK_CLIENT_SECRET

Check auth status:

dws auth status

Logout:

dws auth logout

Core Architecture

Product Services

DingTalk Workspace is organized into product services:

ServiceCommandsUse Cases
contactuser, dept, orgSearch users, list departments, get org info
calendareventCreate/list/update/delete calendar events
aitablespace, base, table, record, field, viewQuery/create AI table records, manage schema
docsearch, createSearch DingTalk Docs, create documents
todotask, categoryCreate/list/update todos, manage categories
chatsend, listSend messages, list conversations
drivelist, upload, downloadManage DingTalk drive files
attendancerecord, shiftGet attendance records, query shifts
reportlistList reports (inbox/sent/created)
minuteslist, detailGet AI meeting minutes
imgroup, messageManage IM groups, send messages

Global Flags

# Output formats
-f, --format table|json|raw    # table (human), json (structured), raw (API response)

# JQ filtering (extract specific fields)
--jq '.result[0].name'         # save tokens, extract precisely

# Dry run (preview without executing)
--dry-run                      # see request payload before sending

# Skip confirmation (required for AI agents)
--yes, -y                      # auto-confirm destructive operations

# Debug
--debug                        # verbose logging

Key Commands & Patterns

Contact Management

Search users:

# Basic search
dws contact user search --query "engineering"

# With filtering and formatting
dws contact user search --query "zhang" -f json --jq '.result[] | {name: .name, userId: .userId, mobile: .mobile}'

# Dry run
dws contact user search --query "zhang" --dry-run

Get current user:

dws contact user get-self -f json --jq '.result[0].orgEmployeeModel | {name: .orgUserName, userId: .userId, depts: [.depts[].deptName]}'

Get user by ID:

dws contact user get --user-id "USER_ID"

List departments:

# Root departments
dws contact dept list

# Subdepartments
dws contact dept list --dept-id "DEPT_ID"

# Extract specific fields
dws contact dept list --jq '.result[] | {id: .deptId, name: .name}'

List department members:

dws contact dept members --dept-id "DEPT_ID" -f json

Calendar Events

List events:

# Today's events
dws calendar event list

# Date range
dws calendar event list --start-time "2026-05-20T00:00:00+08:00" --end-time "2026-05-21T00:00:00+08:00"

# Extract fields
dws calendar event list --jq '.result[] | {title: .summary, start: .start.dateTime, attendees: [.attendees[].displayName]}'

Create event:

# Basic event
dws calendar event create \
  --summary "Team Sync" \
  --start-time "2026-05-20T14:00:00+08:00" \
  --end-time "2026-05-20T15:00:00+08:00" \
  --yes

# With attendees
dws calendar event create \
  --summary "Quarterly Review" \
  --start-time "2026-05-25T10:00:00+08:00" \
  --end-time "2026-05-25T11:30:00+08:00" \
  --attendees "USER_ID_1,USER_ID_2" \
  --location "Meeting Room A" \
  --description "Q2 business review" \
  --yes

Update event:

dws calendar event update \
  --event-id "EVENT_ID" \
  --summary "Updated Title" \
  --start-time "2026-05-20T15:00:00+08:00" \
  --end-time "2026-05-20T16:00:00+08:00" \
  --yes

Delete event:

dws calendar event delete --event-id "EVENT_ID" --yes

AI Table (AITable)

List spaces:

dws aitable space list -f json --jq '.result[] | {id: .spaceId, name: .name}'

List bases in space:

dws aitable base list --space-id "SPACE_ID"

List tables in base:

dws aitable table list --base-id "BASE_ID"

Query records:

# All records
dws aitable record query --base-id "BASE_ID" --table-id "TABLE_ID"

# With filters (filterByFormula)
dws aitable record query \
  --base-id "BASE_ID" \
  --table-id "TABLE_ID" \
  --filter-by-formula '{Status}="Done"' \
  --limit 10

# Sort and paginate
dws aitable record query \
  --base-id "BASE_ID" \
  --table-id "TABLE_ID" \
  --sort '[{"field":"CreatedTime","order":"desc"}]' \
  --page-size 20

# Extract specific fields
dws aitable record query \
  --base-id "BASE_ID" \
  --table-id "TABLE_ID" \
  --jq '.result.records[] | {id: .recordId, fields: .fields}'

Create records:

# Single record
dws aitable record create \
  --base-id "BASE_ID" \
  --table-id "TABLE_ID" \
  --records '[{"fields":{"Name":"Test Item","Status":"In Progress","Priority":1}}]' \
  --yes

# Multiple records
dws aitable record create \
  --base-id "BASE_ID" \
  --table-id "TABLE_ID" \
  --records '[
    {"fields":{"Name":"Item 1","Status":"Todo"}},
    {"fields":{"Name":"Item 2","Status":"Done"}}
  ]' \
  --yes

Update records:

dws aitable record update \
  --base-id "BASE_ID" \
  --table-id "TABLE_ID" \
  --records '[{"recordId":"RECORD_ID","fields":{"Status":"Done"}}]' \
  --yes

Delete records:

dws aitable record delete \
  --base-id "BASE_ID" \
  --table-id "TABLE_ID" \
  --record-ids "RECORD_ID_1,RECORD_ID_2" \
  --yes

List fields (schema):

dws aitable field list --base-id "BASE_ID" --table-id "TABLE_ID"

Todo Management

List todos:

# All incomplete todos
dws todo task list

# With filters
dws todo task list --is-done false --jq '.result[] | {id: .taskId, title: .subject, due: .dueTime}'

# Specific category
dws todo task list --category-id "CATEGORY_ID"

Create todo:

dws todo task create \
  --title "Review PR #123" \
  --executors "USER_ID" \
  --due-time "2026-05-22T18:00:00+08:00" \
  --priority 10 \
  --yes

# With description and multiple executors
dws todo task create \
  --title "Quarterly Report" \
  --description "Complete Q2 summary" \
  --executors "USER_ID_1,USER_ID_2" \
  --due-time "2026-05-30T23:59:59+08:00" \
  --yes

Update todo:

dws todo task update \
  --task-id "TASK_ID" \
  --is-done true \
  --yes

# Update fields
dws todo task update \
  --task-id "TASK_ID" \
  --title "Updated Title" \
  --priority 20 \
  --yes

Delete todo:

dws todo task delete --task-id "TASK_ID" --yes

List categories:

dws todo category list -f json

Document Search

Search documents:

# Basic search
dws doc search --query "quarterly report"

# With type filter
dws doc search --query "roadmap" --doc-type "doc" --jq '.result[] | {title: .title, url: .url, author: .creator.name}'

# Pagination
dws doc search --query "API" --max-results 50

Chat & IM

Send message:

# To user
dws chat send \
  --receiver-id "USER_ID" \
  --msg-type "text" \
  --content "Hello from dws!" \
  --yes

# To group
dws chat send \
  --receiver-id "GROUP_ID" \
  --msg-type "text" \
  --content "Team update" \
  --yes

# Markdown message
dws chat send \
  --receiver-id "USER_ID" \
  --msg-type "markdown" \
  --content "**Important**: Please review [this doc](https://example.com)" \
  --yes

List conversations:

dws chat list -f json --jq '.result[] | {id: .openConversationId, title: .title, type: .conversationType}'

List IM groups:

dws im group list --jq '.result[] | {id: .openConversationId, name: .name, memberCount: .memberCount}'

Drive

List files:

# Root directory
dws drive list

# Specific space
dws drive list --space-id "SPACE_ID"

# Extract fields
dws drive list --jq '.result[] | {name: .name, id: .fileId, size: .size, type: .type}'

Upload file:

dws drive upload \
  --space-id "SPACE_ID" \
  --parent-id "PARENT_ID" \
  --file-path "/path/to/file.pdf" \
  --yes

Download file:

dws drive download \
  --space-id "SPACE_ID" \
  --file-id "FILE_ID" \
  --output-path "/path/to/save/file.pdf"

Attendance

Get attendance records:

# Today's records
dws attendance record get

# Specific date range
dws attendance record get \
  --start-date "2026-05-01" \
  --end-date "2026-05-07" \
  -f json --jq '.result[] | {date: .workDate, checkIn: .checkInTime, checkOut: .checkOutTime}'

Query shift schedules:

dws attendance shift query \
  --user-ids "USER_ID" \
  --start-date "2026-05-20" \
  --end-date "2026-05-27"

Reports

List reports:

# Inbox (received)
dws report list inbox --start-time 1715990400000 --end-time 1716076799000

# Sent
dws report list sent --start-time 1715990400000 --end-time 1716076799000

# Created by me
dws report list mine --start-time 1715990400000 --end-time 1716076799000

AI Meeting Minutes

List minutes:

# All minutes
dws minutes list

# Mine
dws minutes list mine

# Extract fields
dws minutes list --jq '.result[] | {id: .minutesId, title: .title, date: .meetingStartTime}'

Get minutes detail:

dws minutes detail --minutes-id "MINUTES_ID" -f json

Schema Discovery (AI Agents)

AI agents don't need pre-built knowledge. Use dws schema to dynamically discover capabilities:

List all products and tool counts:

dws schema --jq '.products[] | {id, tool_count: (.tools | length)}'

Inspect specific tool parameters:

# Get parameter schema for aitable.query_records
dws schema aitable.query_records --jq '.tool.parameters'

# Get all aitable tools
dws schema --jq '.products[] | select(.id=="aitable") | .tools[] | {name: .name, description: .description}'

Example discovery workflow:

# Step 1: Find the right product
dws schema --jq '.products[] | {id, description}'

# Step 2: List tools in that product
dws schema --jq '.products[] | select(.id=="calendar") | .tools[] | .name'

# Step 3: Get parameter schema
dws schema calendar.create_event --jq '.tool.parameters.properties | keys'

# Step 4: Execute
dws calendar event create --summary "Team Sync" --start-time "2026-05-20T14:00:00+08:00" --end-time "2026-05-20T15:00:00+08:00" --yes

Configuration

Config file location:

  • macOS/Linux: ~/.config/dws/config.yaml
  • Windows: %APPDATA%\dws\config.yaml

Example config.yaml:

auth:
  client_id: "your-app-key"
  client_secret: "your-app-secret"
output:
  default_format: "json"
  color: true
debug: false

Override via environment variables:

export DWS_OUTPUT_FORMAT=json
export DWS_DEBUG=true
export DINGTALK_CLIENT_ID=your-app-key
export DINGTALK_CLIENT_SECRET=your-app-secret

AI Agent Best Practices

Always Use --yes for Non-Interactive Execution

# ❌ Bad (will hang waiting for confirmation)
dws todo task create --title "Review PR" --executors "USER_ID"

# ✅ Good
dws todo task create --title "Review PR" --executors "USER_ID" --yes

Use --dry-run for Safety

# Preview before executing
dws contact user search --query "engineering" --dry-run
dws aitable record delete --base-id "BASE_ID" --table-id "TABLE_ID" --record-ids "REC_ID" --dry-run

Use --jq to Save Tokens

# ❌ Returns entire API response (1000+ tokens)
dws contact user search --query "zhang" -f json

# ✅ Extract only needed fields (50 tokens)
dws contact user search --query "zhang" -f json --jq '.result[] | {name: .name, userId: .userId}'

Handle Pagination

# AITable pagination
dws aitable record query --base-id "BASE_ID" --table-id "TABLE_ID" --page-size 100

# Calendar pagination (date ranges)
dws calendar event list --start-time "2026-05-01T00:00:00+08:00" --end-time "2026-06-01T00:00:00+08:00"

Error Handling

# Check exit code
dws contact user search --query "nonexistent"
echo $?  # 0 = success, non-zero = error

# Capture stderr
dws todo task create --title "Test" --executors "INVALID_ID" --yes 2>&1 | grep "error"

Common Patterns

Multi-Step Workflows

Schedule meeting with available room:

# 1. Search attendees
ATTENDEES=$(dws contact user search --query "engineering" -f json --jq '[.result[].userId] | join(",")')

# 2. Create event
EVENT_ID=$(dws calendar event create \
  --summary "Team Sync" \
  --start-time "2026-05-20T14:00:00+08:00" \
  --end-time "2026-05-20T15:00:00+08:00" \
  --attendees "$ATTENDEES" \
  --yes \
  -f json --jq '.result.eventId')

echo "Created event: $EVENT_ID"

Batch import to AITable from JSON:

# Prepare records.json
cat > records.json <<EOF
[
  {"fields": {"Name": "Item 1", "Status": "Todo", "Priority": 1}},
  {"fields": {"Name": "Item 2", "Status": "In Progress", "Priority": 2}}
]
EOF

# Import
dws aitable record create \
  --base-id "$BASE_ID" \
  --table-id "$TABLE_ID" \
  --records "$(cat records.json)" \
  --yes

Find overdue todos:

dws todo task list --is-done false -f json | \
  jq --arg now "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
    '.result[] | select(.dueTime != null and .dueTime < $now) | {id: .taskId, title: .subject, due: .dueTime}'

Batch Operations

Delete multiple AITable records:

# Get record IDs to delete
RECORD_IDS=$(dws aitable record query \
  --base-id "$BASE_ID" \
  --table-id "$TABLE_ID" \
  --filter-by-formula '{Status}="Archived"' \
  -f json --jq '[.result.records[].recordId] | join(",")')

# Delete
dws aitable record delete \
  --base-id "$BASE_ID" \
  --table-id "$TABLE_ID" \
  --record-ids "$RECORD_IDS" \
  --yes

Send notification to department:

# Get department members
USER_IDS=$(dws contact dept members --dept-id "$DEPT_ID" -f json --jq '[.result[].userId]')

# Send to each
echo "$USER_IDS" | jq -r '.[]' | while read user_id; do
  dws chat send --receiver-id "$user_id" --msg-type "text" --content "Reminder: Submit timesheet" --yes
done

Troubleshooting

Authentication Issues

Token expired:

# Re-login
dws auth login

# Or use device flow
dws auth login --device

Organization not enabled:

  • Join the DingTalk co-creation group: scan QR in README
  • Ask admin to enable CLI access in Developer Platform

Permission Errors

# Check current auth status and scopes
dws auth status -f json --jq '.result | {userId: .userId, corpId: .corpId, scopes: .scopes}'

# Request required scopes during login
dws auth login --scope "Contact.User.Read,Calendar.Event.Write"

Rate Limiting

# Add delays between bulk operations
for i in {1..100}; do
  dws todo task create --title "Task $i" --executors "USER_ID" --yes
  sleep 0.5
done

Debug Mode

# Enable verbose logging
dws --debug contact user search --query "test"

# Check request/response
dws contact user search --query "test" --dry-run

Invalid Timestamps

DingTalk expects RFC3339 format with timezone:

# ✅ Correct
--start-time "2026-05-20T14:00:00+08:00"

# ❌ Incorrect
--start-time "2026-05-20 14:00:00"
--start-time "1716192000"  # Unix timestamp not supported in event create

For attendance, use date format:

# ✅ Correct
--start-date "2026-05-20"

# ❌ Incorrect
--start-date "2026-05-20T00:00:00+08:00"

AITable filterByFormula Syntax

# ✅ Correct (JSON string escaping)
--filter-by-formula '{Status}="Done"'
--filter-by-formula 'AND({Priority}>5, {Status}="In Progress")'

# ❌ Incorrect (unescaped quotes)
--filter-by-formula {"Status":"Done"}

Empty Results

# Check if data exists
dws aitable record query --base-id "$BASE_ID" --table-id "$TABLE_ID" --limit 1

# Verify IDs are correct
dws aitable space list
dws aitable base list --space-id "$SPACE_ID"
dws aitable table list --base-id "$BASE_ID"

Reference

Security Notes

  • Credentials stored in system keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service)
  • OAuth device-flow for headless environments
  • Zero-trust: every request requires authentication
  • Domain allowlisting and least-privilege scoping enforced server-side
  • Use environment variables for CI/CD: $DINGTALK_CLIENT_ID, $DINGTALK_CLIENT_SECRET

Example: Complete Workflow (AI Agent)

#!/bin/bash
# AI agent script: Create weekly team sync event with engineering team

set -e

# 1. Get current user
MY_USER_ID=$(dws contact user get-self -f json --jq '.result[0].orgEmployeeModel.userId' | tr -d '"')

# 2. Search engineering team
ATTENDEES=$(dws contact user search --query "engineering" -f json --jq '[.result[].userId] | join(",")')

# 3. Find next Monday 2pm
NEXT_MONDAY=$(date -d "next monday 14:00" -Iseconds --utc | sed 's/+00:00/+08:00/')
END_TIME=$(date -d "next monday 15:00" -Iseconds --utc | sed 's/+00:00/+08:00/')

# 4. Create event
EVENT_ID=$(dws calendar event create \
  --summary "Weekly Team Sync" \
  --start-time "$NEXT_MONDAY" \
  --end-time "$END_TIME" \
  --attendees "$ATTENDEES" \
  --location "Meeting Room A" \
  --description "Weekly engineering team sync" \
  --yes \
  -f json --jq '.result.eventId' | tr -d '"')

echo "✅ Created event $EVENT_ID for $NEXT_MONDAY"

# 5. Create reminder todo
dws todo task create \
  --title "Prepare agenda for team sync" \
  --executors "$MY_USER_ID" \
  --due-time "$(date -d "next monday 12:00" -Iseconds --utc | sed 's/+00:00/+08:00/')" \
  --description "Event ID: $EVENT_ID" \
  --yes

echo "✅ Created reminder todo"

FAQ

What does the dingtalk-workspace-cli skill do?

DingTalk Workspace CLI (dws) — cross-platform tool for managing DingTalk enterprise data (contacts, calendars, docs, todos, AI tables, chat) via command line and AI agents

How do I install dingtalk-workspace-cli?

Run npx skills add https://github.com/reason-machines/devtools-skills --skill dingtalk-workspace-cli in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/dingtalk-workspace-cli/ (personal) or .claude/skills/dingtalk-workspace-cli/ (project).

Which AI agents can use dingtalk-workspace-cli?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is dingtalk-workspace-cli safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains dingtalk-workspace-cli?

It is published by reason-machines in reason-machines/devtools-skills. It has 225 recorded installs.

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飞书云空间（云盘/云存储）：管理 Drive 文件和文件夹，包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签（secure labels）和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题，或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用；doubao.com 云空间 URL/token 也按资源路径和 token 路由，不回退 WebFetch。不负责：文档内容编辑（走 lark-doc）、表格/Base 表内数据操作（走 lark-sheets/lark-base）、知识空间节点/成员管理（走 lark-wiki）、原生 Markdown 文件读写/patch/diff（走 lark-markdown）。

Productivity & Automation815K installs

lark-shared

open.feishu.cn

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.

Productivity & Automation814.8K installs

lark-im

open.feishu.cn

飞书即时通讯：收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片（Interactive Card）、监听卡片按钮回调（card.action.trigger）。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶（添加/移除/查询置顶会话）、管理标签数据、处理卡片回调时使用。

Productivity & Automation814.1K installs