Dify.AI SDK MCP Server for LangChain 14 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Dify.AI SDK through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"difyai-sdk": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Dify.AI SDK, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Dify.AI SDK through native MCP adapters. Connect 14 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Dify.AI SDK MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 14 tools from Dify.AI SDK via MCP
Why Use LangChain with the Dify.AI SDK MCP Server
LangChain provides unique advantages when paired with Dify.AI SDK through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Dify.AI SDK MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Dify.AI SDK queries for multi-turn workflows
Dify.AI SDK + LangChain Use Cases
Practical scenarios where LangChain combined with the Dify.AI SDK MCP Server delivers measurable value.
RAG with live data: combine Dify.AI SDK tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Dify.AI SDK, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Dify.AI SDK tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Dify.AI SDK tool call, measure latency, and optimize your agent's performance
Dify.AI SDK MCP Tools for LangChain (14)
These 14 tools become available when you connect Dify.AI SDK to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Dify.AI SDK to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDify.AI SDK + LangChain FAQ
Common questions about integrating Dify.AI SDK MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.