How to Use the Dify.AI SDK MCP in Claude

Q: How do I configure the Dify.AI SDK MCP Server with my Claude Desktop app?

Open your local claudedesktopconfig.json file and add the server to your mcpServers object. Provide the required API key as an environment variable, then restart the application to see the tools.

Run Dify workflows and manage chat histories directly inside Claude Desktop using local or remote MCP connections.

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Connect Dify.AI SDK MCP to Claude Desktop

Create your Vinkius account to connect Dify.AI SDK to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Dify.AI SDK with Claude Desktop

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Trigger Dify workflows directly from Claude Desktop

`run_workflow` executes complex backend jobs from your local desktop client without leaving the chat interface. You feed raw inputs into the system, and Claude Desktop parses the response payload, turning raw outputs into immediate actions in your local workspace. Running these jobs requires zero manual API calls or custom script setups. You simply instruct your local agent to initiate the process, and the MCP Server handles the payload delivery behind the scenes.

Manage live conversation sessions locally

`get_conversations` lists recent chat histories directly inside your Claude Desktop interface. Your agent inspects previous runs, retrieves older messages using `get_conversation_messages`, and renames active threads with `rename_conversation` to keep your workspace organized. If a generated answer goes off track, you execute `stop_chat_generation` instantly. This direct control gives your local workspace full authority over remote Dify chat states.

Feed local files into Dify multimodal apps

`upload_file` sends local documents or images from your filesystem straight to Dify via the MCP Server. Your Claude Desktop client reads the local path, converts the file, and posts it to the target app before sending a `chat_message`. This mechanism bypasses the need for manual browser uploads or external staging buckets. Your agent handles the file transfer in one single step, allowing immediate multimodal analysis.

Setup guide

Set up Dify.AI SDK MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Dify.AI SDK MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Dify.AI SDK MCP configuration

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

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under difyai-sdk-mcp.

json

{
  "mcpServers": {
    "difyai-sdk-mcp": {
      "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 Desktop

Open your local `claude_desktop_config.json` file and add the server to your `mcpServers` object. Provide the required API key as an environment variable, then restart the application to see the tools.

No, because the tools connect to the cloud-hosted or self-hosted Dify engine. Your local Claude Desktop client uses the local stdio transport to send execution commands, but an active internet connection is required to reach the API.

The desktop application reads the specified file from your local hard drive and streams it directly to the Dify endpoint. You do not need to host the file publicly, as the server handles the multipart form-data transfer locally.

The desktop client waits for the execution to finish, but you can track progress or fetch setup parameters with `get_workflow_parameters` first. This prevents timeouts by verifying input schemas before initiating the run.

Your raw files and chat logs transfer directly from your local machine to your Dify instance via secure HTTPS. Vinkius operates as a secure proxy, meaning no conversation logs or uploaded file payloads are stored on the hosting platform.

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