How to Use the Dify.AI SDK MCP in Claude Code

Q: How do I install the Dify.AI SDK for Claude Code?

Use the command claude mcp add with the server URL. Ensure your transport flags are set correctly in your terminal session before execution.

Q: Can I use the Dify.AI SDK with Claude Code in a CI/CD pipeline?

Yes. The headless nature of Claude Code allows you to call runworkflow during build processes to validate or generate assets.

Q: Can I stop a long-running Dify.AI SDK process in Claude Code?

You can use the stopchatgeneration tool to terminate an active stream. It prevents unwanted execution time on the server side.

Connect the Dify.AI SDK to Claude Code for headless, terminal-based AI orchestration in your CI/CD pipelines and scripts.

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Connect Dify.AI SDK MCP to Claude Code

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Setup Dify.AI SDK with Claude Code

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Headless workflow control via Claude Code

Run your Dify workflows from any terminal or server environment. With `run_workflow`, you can trigger complex agent logic as part of a shell script or a cron job. It works without a GUI, making it perfect for SREs and DevOps engineers. You get the full power of the Dify backend piped directly into your standard out.

Programmatic completion and chat management

Use `send_completion` to get raw output from your apps for further processing in your pipeline. It returns the full generated text, which you can then pipe into other command-line tools. If you need to clean up after a process, `delete_conversation` handles it instantly. It keeps your Dify account from filling up with temporary test data.

Advanced logging and feedback automation

Extract conversation data using `get_conversation_messages` to audit your AI interactions. It is essential for verifying that your agents are behaving as expected in production environments. You can also automate model improvement by using `submit_feedback` inside your scripts. It logs your results and pushes them back to Dify for future tuning.

Setup guide

Set up Dify.AI SDK MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see difyai-sdk-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Dify.AI SDK transactions." It will automatically discover and invoke the available Dify.AI SDK tools.

Terminal

claude mcp add --transport http difyai-sdk-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Dify.AI SDK MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "difyai-sdk-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dify.AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Dify.AI SDK MCP in Claude Code

Use the command `claude mcp add` with the server URL. Ensure your transport flags are set correctly in your terminal session before execution.

Yes. The headless nature of Claude Code allows you to call `run_workflow` during build processes to validate or generate assets.

It is. The server is designed to work over stdio, http, or sse, making it compatible with any terminal instance running Claude Code.

The server transmits your chat history and file content over encrypted channels. No raw data is stored by the MCP server itself.

You can use the `stop_chat_generation` tool to terminate an active stream. It prevents unwanted execution time on the server side.

Use it with your favorite AI tools

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