Dify.AI SDK MCP Server for AutoGen 14 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Dify.AI SDK as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="difyai_sdk_agent",
tools=tools,
system_message=(
"You help users with Dify.AI SDK. "
"14 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Dify.AI SDK tools. Connect 14 tools through 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
- 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 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.AI SDK to AutoGen via MCP
Follow these steps to integrate the Dify.AI SDK 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 14 tools from Dify.AI SDK automatically
Why Use AutoGen with the Dify.AI SDK MCP Server
AutoGen provides unique advantages when paired with Dify.AI SDK through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Dify.AI SDK tools to solve complex tasks
Role-based architecture lets you assign Dify.AI SDK 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.AI SDK tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Dify.AI SDK tool responses in an isolated environment
Dify.AI SDK + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Dify.AI SDK MCP Server delivers measurable value.
Collaborative analysis: one agent queries Dify.AI SDK while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Dify.AI SDK, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Dify.AI SDK data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Dify.AI SDK responses in a sandboxed execution environment
Dify.AI SDK MCP Tools for AutoGen (14)
These 14 tools become available when you connect Dify.AI SDK to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Dify.AI SDK to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Dify.AI SDK + AutoGen FAQ
Common questions about integrating Dify.AI SDK MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Dify.AI SDK with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Dify.AI SDK to AutoGen
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.