dingtalk-wiki-mcp

dingtalk-wiki-mcp

Enables AI agents to read, browse, and create DingTalk Wiki content, including workspaces, folders, documents, and mind maps. It complements the official DingTalk MCP by providing comprehensive document and workspace management capabilities.

Category
Visit Server

README

dingtalk-wiki-mcp

Release License Stars JavaScript

DingTalk Wiki / Docs read-write MCP server that fills the gap left by DingTalk official MCP.

中文文档 / Chinese docs

DingTalk's official MCP does not provide Wiki / Docs read-write capability.
This project is an open-source complement that makes AI agents and MCP clients actually able to read, browse, and create DingTalk Wiki / Docs content.

Repository Highlights

  • Official MCP gap: Wiki / Docs read-write is not covered
  • This project adds it: workspace browsing, node browsing, and document creation
  • MCP-compatible: works with stdio-based MCP clients
  • Agent-ready: includes SKILL.md for OpenClaw-style skill workflows

Quick Start

1) Install

npm install

2) Configure environment

cp .env.example .env

Required:

DINGTALK_APP_KEY=your-app-key
DINGTALK_APP_SECRET=your-app-secret

index.js now auto-loads .env from the current working directory (or the repo directory) if those variables are not already present in the environment.

3) Prepare local config

cp config.example.json config.json

4) Run

npm start

Or:

node index.js

npx dingtalk-wiki-mcp is a future-friendly path after npm publishing.
This repository already includes the correct CLI entry (bin), but npm distribution is not part of the current release yet.


DingTalk official MCP vs this project

Capability DingTalk official MCP dingtalk-wiki-mcp
Wiki read Not covered
Wiki write Not covered
Create docs Not covered
Create folders Not covered
Create mind maps Not covered
Browse workspaces Not covered
Browse nodes / folders Not covered
Read Notable / .able records Not covered
MCP client compatibility Partial / official scope only ✅ stdio MCP-compatible
OpenClaw skill packaging No ✅ includes SKILL.md

Positioning principle: this project does not replace the official DingTalk MCP. It complements it by filling the Wiki / Docs gap.


Core capabilities

Wiki / Docs

  • List Wiki workspaces
  • Get workspace details
  • List Wiki nodes (folders / docs)
  • Create:
    • DOC
    • WORKBOOK
    • MIND
    • FOLDER
  • Search Wiki by linking to DingTalk search
  • Read Notable / .able sheets and records via official API

Organization

  • List departments
  • List department users
  • Get user info

Operator / Config

  • Set current operator (unionId)
  • Use a default operator from local config
  • Inspect current local config

Skill included

This repo is not only an MCP server. It also includes:

  • SKILL.md

So it can be reused as a skill package in OpenClaw-style agent workflows.


Demo

1. List Wiki workspaces

List workspaces demo

2. Browse workspace nodes

Browse nodes demo

3. Create a document

Create document demo

These demo images are illustrative documentation assets built from representative command/output flows, with all tenant-specific data removed.


Real use cases

1) AI automatically creates weekly report docs

Your AI agent can create a fresh DingTalk Wiki document every week for sales, product, or ops reporting.

2) Agent explores Wiki structure before writing

Before generating content, an agent can inspect workspaces and folders first, then choose the right target node.

3) Auto-initialize project knowledge-base structure

When a new project starts, automation can create a standard folder tree such as:

  • Project Overview
  • Weekly Reports
  • Specs
  • Release Notes
  • Retrospectives

Client integration examples


Example usage

Registered server mode

If you have registered this server in your MCP client config under the name dingtalk-wiki:

mcporter call dingtalk-wiki.show_config
mcporter call dingtalk-wiki.list_wiki_workspaces
mcporter call dingtalk-wiki.list_wiki_nodes workspace_id="your_workspace_id"
mcporter call dingtalk-wiki.create_wiki_doc workspace_id="your_workspace_id" name="Weekly Summary" doc_type="DOC"
mcporter call dingtalk-wiki.get_user_info userid="your_user_id"

Direct stdio mode

If you want to run the server directly without pre-registering it, call the tool names directly:

mcporter call --stdio "node ./index.js" show_config
mcporter call --stdio "node ./index.js" list_wiki_workspaces
mcporter call --stdio "node ./index.js" list_wiki_nodes workspace_id="your_workspace_id"
mcporter call --stdio "node ./index.js" create_wiki_doc workspace_id="your_workspace_id" name="Weekly Summary" doc_type="DOC"

Available MCP tools

  • set_operator
  • show_config
  • list_wiki_workspaces
  • get_wiki_workspace
  • list_wiki_nodes
  • get_wiki_node
  • create_wiki_doc
  • search_wiki
  • list_departments
  • get_department_users
  • get_user_info
  • list_notable_sheets
  • list_notable_records

Requirements

  • Node.js 18+
  • A DingTalk app with the required API permissions
  • A stdio-compatible MCP client, such as:
    • OpenClaw
    • mcporter
    • other MCP hosts / clients

Permissions

Depending on what you use, your DingTalk app may need permissions such as:

  • Document.WorkspaceDocument.Write
  • Wiki read permissions
  • Department read permissions
  • User read permissions

Please refer to DingTalk Open Platform documentation for the latest permission names and approval requirements.


Trust materials


Security notes

  • config.json contains your local user and workspace metadata, so do not commit it
  • this repository already ignores config.json and .env
  • inject AppKey / AppSecret via environment variables instead of hardcoding them

Limitations

  • This is a community-maintained complement, not an official DingTalk project
  • Some APIs require enterprise approval on the DingTalk side
  • search_wiki is currently more of a search-entry helper than a full-text search implementation
  • Reading normal DingTalk document body content via official public API is still not implemented in this project
  • Notable / .able support currently covers sheets and records, not arbitrary document-body export

Related links


License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured