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mcp-server

Dify: Build AI Agents in Hours, Not Months

Production-ready platform for startup founders to develop agentic AI workflows without deep engineering skills. Deploy intelligent, automated systems with low-code tools.
143,506 stars22,584 forksTypeScriptUpdated 6/2/2026100% free · open source
What it does

Dify is a production-ready platform that enables startup founders to develop and deploy intelligent, automated agentic AI workflows without requiring deep engineering skills.

When to use it
  • •When you need to automate complex business processes with AI-driven decision-making
  • •When you want to integrate multiple AI models and services into a single workflow
  • •When you need to deploy AI-powered workflows to production without extensive DevOps expertise
Quick start
  1. 1Clone the Dify repository and navigate to the project directory
  2. 2Run `npm install` or `yarn install` to install dependencies
  3. 3Create a new workflow by running `npx ts-node src/cli.ts init`
  4. 4Configure your workflow by editing the `workflow.ts` file in the root directory
  5. 5Start the Dify server with `npx ts-node src/cli.ts start`
Ready-to-paste prompt
npx ts-node src/cli.ts run --workflow my-workflow --input '{"name":"John","age":30}'

Topics

agent
agentic-ai
agentic-framework
agentic-workflow
ai
automation
gemini
genai
gpt
gpt-4
llm
low-code
mcp
nextjs
no-code
openai
orchestration
python
rag
workflow
Quick Actions
Details
Creator
langgenius
Language
TypeScript
Category
mcp-server
Published
4/12/2023

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