Open WebUI MCP Server for LangChainGive LangChain instant access to 12 tools to Add File To Collection, Chat Completed, Chat Completions, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Open WebUI 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 for LangChain
The Open WebUI MCP Server for LangChain is a standout in the Loved By Devs category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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({
"open-webui": {
"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 Open WebUI, 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 Open WebUI MCP Server
Connect your Open WebUI instance to any AI agent and take full control of your local and cloud LLM orchestration through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Open WebUI through native MCP adapters. Connect 12 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
- Model Management — Use
list_modelsto fetch all available models including Ollama, OpenAI, and Open WebUI Functions. - RAG & Knowledge Base — Upload files with
upload_file, process web content viaprocess_web_url, and organize them into collections usingadd_file_to_collection. - Chat Orchestration — Create and manage backend-controlled chats with
create_new_chator use OpenAI/Anthropic compatible endpoints likechat_completionsandsend_message. - Native Ollama Support — Directly interact with the Ollama API using
ollama_generate,ollama_tags, andollama_embedfor local inference tasks. - File Processing — Monitor the status of your document ingestion with
get_file_statusto ensure your RAG context is ready.
The Open WebUI MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Open WebUI tools available for LangChain
When LangChain connects to Open WebUI through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-management, rag, model-inference, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add file to collection on Open WebUI
Add a file to a knowledge collection
Chat completed on Open WebUI
Run outlet filters for completed chat
Chat completions on Open WebUI
OpenAI-compatible chat completion
Create new chat on Open WebUI
Must generate UUIDs for message IDs. Create a new chat (Backend-Controlled Flow)
Get file status on Open WebUI
Check file processing status
List models on Open WebUI
Retrieve all models
Ollama embed on Open WebUI
Ollama API Embeddings
Ollama generate on Open WebUI
Ollama API Generate Completion
Ollama tags on Open WebUI
List Ollama models
Process web url on Open WebUI
Process a web URL into a collection
Send message on Open WebUI
Anthropic-compatible message generation
Upload file on Open WebUI
Content is extracted and stored in the vector DB. Provide file content as base64. Upload a file for RAG
Connect Open WebUI to LangChain via MCP
Follow these steps to wire Open WebUI into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Open WebUI MCP Server
LangChain provides unique advantages when paired with Open WebUI through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Open WebUI 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 Open WebUI queries for multi-turn workflows
Open WebUI + LangChain Use Cases
Practical scenarios where LangChain combined with the Open WebUI MCP Server delivers measurable value.
RAG with live data: combine Open WebUI tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Open WebUI, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Open WebUI tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Open WebUI tool call, measure latency, and optimize your agent's performance
Example Prompts for Open WebUI in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Open WebUI immediately.
"List all models available in my Open WebUI instance."
"Process the URL 'https://docs.openwebui.com/' into my 'Documentation' collection."
"Generate a response using the 'llama3' model for the prompt 'Explain quantum computing'."
Troubleshooting Open WebUI MCP Server with LangChain
Common issues when connecting Open WebUI to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOpen WebUI + LangChain FAQ
Common questions about integrating Open WebUI 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?
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