Dingtalk MCP

Created By
钉钉a year ago
钉钉OpenAPI MCP Server.
Overview

What is Dingtalk MCP?

Dingtalk MCP is an OpenAPI server for Dingtalk that allows developers to integrate various Dingtalk functionalities into their applications.

How to use Dingtalk MCP?

To use Dingtalk MCP, set up your environment with the required Dingtalk Client ID and Client Secret, and run the server using the command: DINGTALK_Client_ID={DINGTALK_Client_ID} DINGTALK_Client_Secret={DINGTALK_Client_Secret} npx -y dingtalk-mcp@latest.

Key features of Dingtalk MCP?

  • Dingtalk contact management
  • Department management
  • Sending messages via Dingtalk robots
  • Managing company culture honors
  • Task management
  • Calendar scheduling
  • Attendance tracking
  • Work notifications
  • Application management
  • Service window management

Use cases of Dingtalk MCP?

  1. Automating company notifications and reminders.
  2. Integrating Dingtalk functionalities into custom applications.
  3. Managing employee attendance and tasks efficiently.
  4. Enhancing communication within teams using Dingtalk's messaging features.

FAQ from Dingtalk MCP?

  • What is required to run Dingtalk MCP?

You need a Dingtalk Client ID and Client Secret to authenticate your application.

  • Can I use Dingtalk MCP for free?

Yes, Dingtalk MCP is free to use, but you may need to comply with Dingtalk's usage policies.

  • What functionalities does Dingtalk MCP support?

Dingtalk MCP supports a wide range of functionalities including contact management, task management, and messaging.

Server Config

{
  "mcpServers": {
    "dingtalk": {
      "command": "npx",
      "args": [
        "-y",
        "dingtalk-mcp@latest"
      ],
      "env": {
        "DINGTALK_Client_ID": "your dingtalk app client id",
        "DINGTALK_Client_Secret": "your dingtalk app cliengt secret",
        "ACTIVE_PROFILES": "ALL"
      }
    }
  }
}
Project Info
Created At
a year ago
Updated At
10 months ago
Author Name
钉钉
Star
-
Language
-
License
-

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

a day ago
PDFGate
@pdfgate

3 hours ago