Which models can I use?

Any model available on your API key: GPT-4o, GPT-4o-mini, GPT-4-turbo, o1, o3 — use `list_models` to see all.

Can I generate images?

Yes! Use `generate_image` with a text prompt. Supports 1024x1024, 1792x1024, and 1024x1792 sizes.

How does content moderation work?

The `moderate_content` tool analyzes text against OpenAI's content policy, flagging categories like hate, violence, and self-harm with confidence scores.

OpenAI MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: OpenAI
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect OpenAI through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 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({
        "openai": {
            "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 OpenAI, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 OpenAI MCP Server

Connect the OpenAI API to any AI agent and unlock the full power of GPT models as composable tools.

LangChain's ecosystem of 500+ components combines seamlessly with OpenAI through native MCP adapters. Connect 10 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

Chat Completions — Generate responses from GPT-4o, GPT-4o-mini, and other models
Image Generation — Create images with DALL-E 3 from text descriptions
Embeddings — Convert text to vector representations for semantic search
Content Moderation — Check text for policy violations automatically
Fine-tuning — Create and monitor custom model training jobs
File Management — List uploaded files for training and assistants
Assistants — Browse configured OpenAI Assistants
Structured Output — Generate structured JSON responses from prompts

The OpenAI MCP Server exposes 10 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 OpenAI to LangChain via MCP

Follow these steps to integrate the OpenAI 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 10 tools from OpenAI via MCP

Why Use LangChain with the OpenAI MCP Server

LangChain provides unique advantages when paired with OpenAI through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine OpenAI 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 OpenAI queries for multi-turn workflows

OpenAI + LangChain Use Cases

Practical scenarios where LangChain combined with the OpenAI MCP Server delivers measurable value.

RAG with live data: combine OpenAI tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query OpenAI, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain OpenAI tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every OpenAI tool call, measure latency, and optimize your agent's performance

OpenAI MCP Tools for LangChain (10)

These 10 tools become available when you connect OpenAI to LangChain via MCP:

chat_completion

Specify model (gpt-4o, gpt-4o-mini, etc.) and messages array as JSON. Generate a chat completion using OpenAI models

create_embedding

Create text embeddings

create_fine_tune

Requires a previously uploaded JSONL training file ID. Create a fine-tuning job

generate_image

Returns the image URL. Generate an image with DALL-E 3

list_assistants

List OpenAI Assistants

list_files

List uploaded files

list_fine_tunes

List fine-tuning jobs

list_models

List available OpenAI models

moderate_content

Check content for policy violations

structured_output

Provide a system prompt and user message. Generate structured JSON output from a prompt

Example Prompts for OpenAI in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with OpenAI immediately.

"Ask GPT-4o to summarize this document in 3 bullet points."

"Generate an image of a futuristic cityscape at sunset."

"Check if this text violates content policies."

Troubleshooting OpenAI MCP Server with LangChain

Common issues when connecting OpenAI to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

OpenAI + LangChain FAQ

Common questions about integrating OpenAI MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.