Can my agent interact with a specific Dify application via chat?

Yes. When you provide the Application API Key, the agent uses the 'chat' mutation to send your query directly to that Dify agent. It returns the AI response within your current chat context, allowing for seamless integration.

How do I retrieve the conversation history from my Dify project?

Use the 'list_conversations' tool. Your agent will pull the explicitly attached array vectors representing your conversation listing. You can then use 'list_messages' with a specific ID to see the detailed interactions.

Can I upload files to my Dify agents through this server?

Absolutely. The 'upload_file' tool allows you to transmit local binaries securely. The agent maps these files internally against standard Dify attachments, making them available for your Dify agents to process.

Dify MCP Server for AutoGen 6 tools — connect in under 2 minutes

Name: Dify
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 6 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Dify as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

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.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="dify_agent",
            tools=tools,
            system_message=(
                "You help users with Dify. "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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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 MCP Server

Connect your Dify.ai application to any AI agent and take full control of your LLM application development and agentic workflows through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Dify tools. Connect 6 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Agentic Chat Orchestration — Commands the backend orchestrating absolute explicit strings sending chat messages seamlessly against standard Dify agents
Conversation Navigation — Extracts explicitly attached array vectors representing company-wide conversation listings from your Dify project
Message Auditing — Analyzes specific localized variables decoding active conversation message arrays to track historical interactions
Structural Parameters — Extracts configuration limits mapping global explicit constraints inside the referenced Dify workspace
Secure File Ingestion — Mutate explicit arrays directly transmitting local binaries mapped internally against standard Dify attachments securely
Feedback Management — Submit message-level feedback (likes/dislikes) to instantiate absolute explicit CRM environments tracking AI performance

The Dify MCP Server exposes 6 tools through the Vinkius. Connect it to AutoGen 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 to AutoGen via MCP

Follow these steps to integrate the Dify MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 6 tools from Dify automatically

Why Use AutoGen with the Dify MCP Server

AutoGen provides unique advantages when paired with Dify through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Dify tools to solve complex tasks

Role-based architecture lets you assign Dify tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Dify tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Dify tool responses in an isolated environment

Dify + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Dify MCP Server delivers measurable value.

Collaborative analysis: one agent queries Dify while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Dify, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Dify data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Dify responses in a sandboxed execution environment

Dify MCP Tools for AutoGen (6)

These 6 tools become available when you connect Dify to AutoGen via MCP:

chat

Send a chat message

feedback

Submit message feedback

get_parameters

Get app parameters

list_conversations

List conversations

list_messages

List messages in conversation

upload_file

Upload a file

Example Prompts for Dify in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Dify immediately.

"Send a message to my Dify agent: 'Explain the benefits of RAG.'"

"List my recent Dify conversations for user 'admin_123'"

"Give a 'like' to message 'msg_789' in Dify"

Troubleshooting Dify MCP Server with AutoGen

Common issues when connecting Dify to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Dify + AutoGen FAQ

Common questions about integrating Dify MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Dify tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.