Openai MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Openai MCP or direct API to manage Assistants, orchestrate threads and messages, upload or delete files, and retrieve models and fine-tune listings through natural language.

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Openai is a powerful AI platform offering advanced language, vision, and multimodal APIs. It's your gateway to building, managing, and scaling intelligent assistants and workflows.

126 Tools

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TOOLS

Supported Tools

Every Openai action and event your agent gets out of the box.

Add Upload Part

Tool to add a part (chunk of bytes) to an Upload object.

Cancel batch

Tool to cancel an in-progress batch.

Cancel evaluation run

Tool to cancel an ongoing evaluation run.

Cancel Response

Tool to cancel a background model response by its ID.

Cancel Run

Tool to cancel a run that is currently in progress.

Cancel upload

Tool to cancel an upload.

Compact Response

Tool to compact a conversation or response to reduce token usage.

Create Audio Transcription

Tool to transcribe audio files to text via OpenAI Audio Transcriptions API.

Create Audio Translation

Tool to translate audio files to English text via OpenAI Audio Translations API.

Create Batch

Tool to create and execute a batch from an uploaded file of requests.

Create Chat Completion

Tool to create a chat completion response from OpenAI models.

Create Completion (Legacy)

Tool to generate text completions using OpenAI's legacy Completions API.

Create Container

Tool to create a new container with configurable memory, expiration, file access, and network policies.

Create Container File

Tool to create a file in a container.

Create Conversation

Tool to create a new conversation for multi-turn interactions.

Create Conversation Items

Tool to create items in a conversation with the given ID.

Create Embeddings

Tool to generate text embeddings via the OpenAI embeddings endpoint.

Create Eval

Tool to create an evaluation structure for testing a model's performance.

Create Evaluation Run

Tool to create a new evaluation run for testing model configurations.

Create fine-tuning job

Tool to create a fine-tuning job which begins the process of creating a new model from a given dataset.

Generate Image

Tool to generate an image via the OpenAI Images API and return hosted image asset URL and metadata.

Edit Image

Tool to create edited or extended images via OpenAI Images Edit API.

Create Image Variation

Tool to create a variation of a given image using the OpenAI Images API.

Create Message

Tool to create a new message in a specific thread.

Create Moderation

Tool to classify text and/or image inputs for potentially harmful content via the OpenAI Moderation API.

Create Realtime Call

Tool to create a Realtime API call over WebRTC and receive the SDP answer needed to complete the peer connection.

Create Realtime Client Secret

Tool to create an ephemeral client secret for authenticating Realtime API connections.

Create Realtime Session

Tool to create an ephemeral API token for client-side Realtime API applications.

Create Realtime Transcription Session

Tool to create an ephemeral API token for realtime transcriptions via the Realtime API.

Create Response

Tool to generate a one-shot model response via the Responses API.

Create Run

Tool to create a run on a thread with an assistant.

Create Skill

Tool to create a skill from uploaded files.

Create Speech (TTS)

Tool to generate text-to-speech audio using OpenAI's Audio API.

Create Thread

Tool to create a new thread.

Create Thread And Run

Tool to create a thread and run it in one request.

Create Upload

Tool to create an intermediate Upload object for large file uploads.

Create Vector Store

Tool to create a new vector store.

Create Vector Store File

Tool to create a vector store file by attaching a File to a vector store.

Create vector store file batch

Tool to create a vector store file batch.

Create Video

Tool to create a video using Sora models via the OpenAI Videos API.

Create Video Remix

Tool to create a video remix from an existing generated video using OpenAI's Video API.

Delete assistant

Tool to delete a specific assistant by its ID.

Delete chat completion

Tool to delete a stored chat completion by its ID.

Delete container

Tool to delete a specific container by its ID.

Delete container file

Tool to delete a file from a container.

Delete conversation

Tool to delete a conversation by its ID.

Delete conversation item

Tool to delete an item from a conversation with the given IDs.

Delete evaluation

Tool to delete a specific evaluation by its ID.

Delete evaluation run

Tool to delete an evaluation run.

Delete file

Tool to delete a file by its ID after confirming the target.

Delete message

Tool to delete a message from a thread.

Delete response

Tool to delete a model response with the given ID.

Delete skill

Tool to delete a specific skill by its ID.

Delete thread

Tool to delete a thread by its ID.

Delete Vector Store

Tool to delete a vector store.

Delete Vector Store File

Tool to delete a vector store file.

Delete video

Tool to delete a video by its ID.

Download file

Tool to download the contents of a specified file by its ID.

Download Video Content

Tool to download video content (MP4) or preview assets from OpenAI Videos API.

Get Chat Completion

Tool to retrieve a stored chat completion.

Get Chat Completion Messages

Tool to retrieve messages from a stored chat completion.

Get ChatKit thread

Tool to retrieve a ChatKit thread by its ID.

Get Conversation Item

Tool to retrieve a single item from a conversation.

Get Eval

Tool to retrieve an evaluation by ID.

Get Evaluation Run

Tool to retrieve an evaluation run by ID to check status and results.

Get Eval Run Output Item

Tool to retrieve a specific output item from an evaluation run by its ID.

Get eval run output items

Tool to get a list of output items for an evaluation run.

Get Evaluation Runs

Tool to get a paginated list of runs for an evaluation.

Get Input Token Counts

Tool to calculate input token counts for OpenAI API requests.

Get Message

Tool to retrieve a specific message from a thread by its ID.

Get Response

Tool to retrieve a model response by ID.

Get Run Step

Tool to retrieve a specific run step from an Assistants API run to inspect detailed execution progress, view tool calls, or check message creation.

Get Vector Store

Tool to retrieve a vector store by its ID.

Get Vector Store File

Tool to retrieve a file from a vector store.

Get Vector Store File Batch

Tool to retrieve a vector store file batch.

Get Video

Tool to retrieve a video generation job by its unique identifier.

List Assistants

Tool to list assistants to discover the correct assistant_id by name or metadata.

List Batches

Tool to list your organization's batches.

List Chat Completions

Tool to list stored chat completions that were created with the `store` parameter set to true.

List ChatKit thread items

Tool to list ChatKit thread items.

List container files

Tool to list files in a container.

List Containers

Tool to list containers.

List Conversation Items

Tool to list all items for a conversation with the given ID.

List engines

Tool to list available engines and their basic information.

List Evals

Tool to list evaluations for a project.

List files

Tool to retrieve a list of files uploaded to your organization/project context.

List Files in Vector Store Batch

Tool to list vector store files in a batch.

List fine-tunes

Tool to list your organization's fine-tuning jobs.

List fine-tuning job events

Tool to get status updates for a fine-tuning job.

List fine-tuning job checkpoints

Tool to list checkpoints for a fine-tuning job.

List Input Items

Tool to retrieve input items for a given response from the OpenAI Responses API.

List Messages

Tool to list messages in an Assistants thread to fetch the assistant's generated outputs after a run completes.

List models

Tool to list available models scoped to the current account/organization — some public models may be absent due to permissions.

List Runs

Tool to list runs belonging to a thread.

List Run Steps

Tool to list run steps for an Assistants API run to track detailed execution progress, inspect tool calls, and view message creation events.

List Skills

Tool to list skills.

List ChatKit Threads

Tool to list ChatKit threads with pagination and filtering.

List Vector Store Files

Tool to list files in a vector store.

List Vector Stores

Tool to list vector stores to discover available vector stores by name or metadata.

List Videos

Tool to list all video generation jobs.

Modify Assistant

Tool to modify an existing assistant.

Modify Message

Tool to modify an existing message's metadata in a thread.

Modify Run

Tool to modify a run's metadata.

Modify thread

Tool to modify an existing thread's metadata.

Modify Vector Store

Tool to modify an existing vector store.

Retrieve assistant

Tool to retrieve details of a specific assistant.

Retrieve Batch

Tool to retrieve a batch by ID to check its status, progress, and results.

Retrieve container

Tool to retrieve details of a specific container by its ID.

Retrieve container file

Tool to retrieve metadata for a specific file in a container.

Retrieve container file content

Tool to retrieve the content of a file within a container.

Retrieve engine

Tool to retrieve details of a specific engine.

Retrieve file

Tool to retrieve information about a specific file.

Retrieve fine-tuning job

Tool to retrieve information about a fine-tuning job.

Retrieve model

Tool to retrieve details of a specific model, confirming its metadata (ownership, created date) and verifying access under your org — a model appearing in OPENAI_LIST_MODELS does not guarantee access.

Retrieve run

Tool to retrieve an Assistants run by ID to check status, errors, and usage.

Retrieve thread

Tool to retrieve metadata of a specific thread by its ID — does not include message bodies or assistant replies (those require a completed run and separate message listing).

Retrieve Vector Store File Content

Tool to retrieve the parsed contents of a vector store file.

Run grader

Tool to run a grader to evaluate model performance on a given sample.

Search Vector Store

Tool to search a vector store for relevant chunks based on a query and file attributes filter.

Submit Tool Outputs to Run

Tool to submit tool call outputs to continue a run that requires action.

Update Chat Completion

Tool to update metadata for a stored chat completion.

Update Conversation

Tool to update a conversation's metadata.

Update Eval

Tool to update certain properties of an evaluation (name and metadata).

Update Vector Store File Attributes

Tool to update custom attributes on a vector store file.

Upload file

Tool to upload a file for use across OpenAI endpoints.

Validate grader configuration

Tool to validate a grader configuration for fine-tuning jobs.

SETUP GUIDE

Connect Openai MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["openai"],
  mcp: true,
});
Create a session scoped to Openai and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List all available OpenAI models and their details.",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Openai request
SETUP GUIDE

Connect Openai API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["openai"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Openai
3

Run Openai tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List all available OpenAI models and their details." }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Openai tool calls through the session, and print the final answer

Why Use Composio?

AI Native Openai Integration

  • Supports both Openai MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Openai data

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Openai access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Openai
  • Scoped, least privilege access to Openai resources
  • Full audit trail of agent actions to support review and compliance

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

EXPLORE MCP GATEWAY
FAQ

Frequently asked questions

Yes, Openai requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Openai connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

Create the key in your Openai account settings, then paste it once on Composio's connection page. Composio stores it encrypted and uses it only for the Openai actions your agent runs. Nobody else in your workspace can read it, and you can revoke it inside Openai at any time.

When you connect a Openai account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Openai as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside Openai. If Openai lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside Openai at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Openai connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

The connection stops working the moment Openai rejects the old key. Create a new key in Openai and reconnect the account from the Composio dashboard or by asking your agent to reconnect Openai. Nothing else changes.

Composio's free Hobby plan includes 100,000 tool calls per month with no credit card, which covers most personal Openai use. Paid plans add higher limits and team features. Your Openai plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Openai accounts).

With Composio, you connect Openai once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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