Dify.AI SDK MCP Server for OpenAI Agents SDK 14 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dify.AI SDK through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Dify.AI SDK Assistant",
instructions=(
"You help users interact with Dify.AI SDK. "
"You have access to 14 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Dify.AI SDK"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 14 tools from Dify.AI SDK through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dify.AI SDK, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Dify.AI SDK MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 14 tools from Dify.AI SDK
Why Use OpenAI Agents SDK with the Dify.AI SDK MCP Server
OpenAI Agents SDK provides unique advantages when paired with Dify.AI SDK through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Dify.AI SDK + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Dify.AI SDK MCP Server delivers measurable value.
Automated workflows: build agents that query Dify.AI SDK, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Dify.AI SDK, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Dify.AI SDK tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Dify.AI SDK to resolve tickets, look up records, and update statuses without human intervention
Dify.AI SDK MCP Tools for OpenAI Agents SDK (14)
These 14 tools become available when you connect Dify.AI SDK to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Dify.AI SDK to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Dify.AI SDK + OpenAI Agents SDK FAQ
Common questions about integrating Dify.AI SDK MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.