Does this work with self-hosted Dify?

Yes, simply replace the Base URL credential with your own domain (e.g. `https://dify.mycompany.com/v1`).

Dify.AI SDK MCP Server for VS Code Copilot 14 tools — connect in under 2 minutes

Name: Dify.AI SDK
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 14 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Dify.AI SDK and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Dify.AI SDK MCP Server

Connect your Vinkius agents directly to Dify.AI, the leading open-source LLM app development platform. With 10 exposed tools, you can execute complex Dify workflows, send messages to specialized chatbots, retrieve session histories, and submit model feedback for RLHF.

GitHub Copilot Agent mode brings Dify.AI SDK data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 14 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Agent Chat — Send messages to published Dify chatbots and track conversations
Workflows — Trigger background Dify workflows with dynamic JSON parameters
Session Management — Rename, fetch, or delete conversation histories
Audit & Feedback — Programmatically submit 'like/dislike' ratings to improve model tuning

The Dify.AI SDK MCP Server exposes 14 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Dify.AI SDK to VS Code Copilot via MCP

Follow these steps to integrate the Dify.AI SDK MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Dify.AI SDK

Ask Copilot: "Using Dify.AI SDK, help me...". 14 tools available

Why Use VS Code Copilot with the Dify.AI SDK MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Dify.AI SDK through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Dify.AI SDK + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Dify.AI SDK MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Dify.AI SDK MCP Tools for VS Code Copilot (14)

These 14 tools become available when you connect Dify.AI SDK to VS Code Copilot via MCP:

chat_message

Send a chat message to a Dify Application

delete_conversation

Delete a Dify conversation

get_app_meta

Get application meta data configuration

get_conversation_messages

Get historical messages of a specific Dify conversation

get_conversations

List recent conversations for a user

get_suggested_questions

Use after receiving a chat response. Get next suggested questions for a message

get_workflow_info

Get basic App information

get_workflow_parameters

Get required application parameters

rename_conversation

Rename a Dify conversation

run_workflow

Execute a Dify Workflow application

send_completion

Returns the full generated text. Send a text completion request to a Dify completion app

stop_chat_generation

Only supported for streaming mode responses. Stop an in-progress chat message generation

submit_feedback

Submit feedback (like/dislike) for a message

upload_file

Upload a file via URL for multimodal understanding

Example Prompts for Dify.AI SDK in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Dify.AI SDK immediately.

"Check my recent Dify conversations and tell me the name of the last one."

Troubleshooting Dify.AI SDK MCP Server with VS Code Copilot

Common issues when connecting Dify.AI SDK to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Dify.AI SDK + VS Code Copilot FAQ

Common questions about integrating Dify.AI SDK MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.