# How to connect LLM API with ChatGPT

```json
{
  "title": "How to connect LLM API with ChatGPT",
  "toolkit": "LLM API",
  "toolkit_slug": "llm_api",
  "framework": "ChatGPT",
  "framework_slug": "chatgpt",
  "url": "https://composio.dev/toolkits/llm_api/framework/chatgpt",
  "markdown_url": "https://composio.dev/toolkits/llm_api/framework/chatgpt.md",
  "updated_at": "2026-11-01T07:20:22.117Z"
}
```

## Introduction

### How to connect LLM API MCP with ChatGPT
[ChatGPT](https://chatgpt.com/) can take action across your apps and files, stay with a project for hours, and turn a goal into finished materials like sheets, slides, and docs, not just answers.
In this guide, I will explain the easiest and most secure way to connect your LLM API account to ChatGPT via Composio Connect, so it can generate text, create embeddings, process images, handle audio, and run batch jobs through natural language commands without ever putting your account credentials at risk.

## Also integrate LLM API with

- [Claude Cowork](https://composio.dev/toolkits/llm_api/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/llm_api/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/llm_api/framework/atomic-agent)

## TL;DR

### Why use Composio over default connectors?
- Apps with read and write access. Default connectors mostly can read your data. Composio's LLM API integration lets ChatGPT take actions like creating drafts, sending updates, labeling records, and more.
- 1,500+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
- One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
- Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
- Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

## Connect LLM API to ChatGPT

### Prerequisites
- A ChatGPT account. We will use the [ChatGPT desktop app](https://openai.com/chatgpt/download/), and the steps are the same on the web.
- Access to the LLM API workspace you want to connect.
- [Composio plugin](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=chatgpt&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fchatgpt).
Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.
### Step-by-step: Connect LLM API to ChatGPT
### 1. Install the Composio plugin
Click the button. ChatGPT opens the Composio plugin page. Click Install plugin.
[Install in ChatGPT](https://chatgpt.com/plugins/plugin_asdk_app_6a58503580c08191b78cc5bdaf4eba6e)
You can also find it inside ChatGPT: go to Settings, open Plugins, search the marketplace for Composio, and click Install plugin.
### 2. Authenticate
After you install, ChatGPT asks you to authenticate with Composio. Log in and click Allow access to authorize ChatGPT to use your Composio account.
### 3. Start using Composio
That is it. Composio tools are now available in ChatGPT. Type @Composio followed by your request, for example @Composio find unread LLM API messages and summarize them, and it will run the actions you authorize. On first use it asks you to authorize LLM API.
### Option 2: Add Composio as an MCP server
If you cannot use the plugin marketplace, add Composio as a custom MCP server instead.
### 1. Open the MCP settings
In ChatGPT, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.
### 2. Add the server
Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## What is the LLM API MCP server, and what's possible with it?

The LLM API MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your LLM API account. It provides structured and secure access to text generation, embeddings, model capabilities, files, batch workloads, and account credits, so your agent can generate responses, create embeddings, discover suitable models, manage files and batch jobs, and check available credits on your behalf.
- Multi-provider text generation: Have your agent create chat completions, responses, or Anthropic-compatible messages with text, structured inputs, tool use, and supported multimodal content.
- Embedding creation: Let the agent turn one text or a group of texts into vector embeddings for search, matching, and other AI workflows.
- Model discovery: Direct your agent to browse available models or inspect a model’s live capabilities before choosing one for a task.
- File and batch workload management: Instruct your agent to list or retrieve project files, remove files, submit asynchronous batch workloads, and check or cancel batches.
- Credit and account status: Have your agent review connected user details, project information, credit balances, funding mode, and balance limits.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LLM_API_CANCEL_BATCH` | Cancel Batch | Request best-effort cancellation of an in-progress batch. Return the provider's actual batch state without implying cancellation took effect; work may still finish and incur charges before the request is applied. |
| `LLM_API_COUNT_ANTHROPIC_MESSAGE_TOKENS` | Count Anthropic Message Tokens | Count input tokens for an Anthropic-compatible message request without generating a model response. |
| `LLM_API_CREATE_ANTHROPIC_MESSAGE` | Create Anthropic Message | Generate one complete, non-streaming Anthropic-compatible message with flexible content blocks, system prompts, and tool use with your own connection. Instant supports the Claude models listed in its pricing, with plain-text messages and a plain-text system prompt; tools, content blocks and other models are rejected before provider execution. |
| `LLM_API_CREATE_CHAT_COMPLETION` | Create Chat Completion | Generate a complete, non-streaming OpenAI-compatible chat response. Instant supports only the models listed in its pricing, with plain-text messages: no tools, multimodal content, web search, or reasoning-effort overrides. Unsupported Instant requests are rejected before provider execution. With your own connection, use models and capabilities supported by your provider project. |
| `LLM_API_CREATE_EMBEDDINGS` | Create Embeddings | Create vector embeddings for one text or a batch of texts with a selected embedding model. Requires your own connection; this action is unavailable through Instant. |
| `LLM_API_CREATE_RESPONSE` | Create Response | Generate one complete, non-streaming OpenAI Responses-compatible result from text or structured input, preserving reasoning and tool items. Requires your own connection; this action is unavailable through Instant. |
| `LLM_API_DELETE_FILE` | Delete File | Permanently delete a caller-owned or explicitly authorized project file. This destructive operation cannot be undone; a missing file fails with not found rather than reporting a successful deletion. |
| `LLM_API_DISCOVER_MODELS` | Discover Models | Return one model's full live capabilities by ID, or browse a compact, bounded view of the live model catalog using local capability filters. |
| `LLM_API_GET_ACCOUNT_AND_CREDITS` | Get Account and Credits | Return the connected user, project, organization, purchased and bonus credit balances, funding mode, and balance gating in one account-status read. |
| `LLM_API_LIST_OR_GET_BATCHES` | List or Get Batches | Return one asynchronous batch and its latest lifecycle, token, and cost status by ID, or one provider-default page of project batches when no batch ID is supplied. List mode supports provider cursor pagination. |
| `LLM_API_LIST_OR_GET_FILES` | List or Get Files | Return metadata for one project file by ID, or one provider-default page of project file metadata when no file ID is supplied. List mode supports purpose filtering and provider cursor pagination. |
| `LLM_API_SUBMIT_BATCH` | Submit Batch | Create an asynchronous batch from an existing purpose=batch file ID, or upload a JSONL input file with purpose=batch and create the batch in one call. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, ChatGPT can access the LLM API MCP server via Composio to run actions that you authorize, directly in your workspace.

## Complete Code

None listed.

## How to build LLM API MCP Agent with another framework

- [Claude Cowork](https://composio.dev/toolkits/llm_api/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/llm_api/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/llm_api/framework/atomic-agent)

## Related Toolkits

- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [AltTextLab](https://composio.dev/toolkits/alt_text_lab) - AltTextLab is an AI service that generates accessible, SEO-aware alt text for images. It helps teams make image content easier to understand, index, and publish.
- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.
- [Apiframe](https://composio.dev/toolkits/apiframe) - Apiframe is an API platform for generating and managing AI images, videos, music, uploads, assets, jobs, and custom LoRAs. It gives developers one clean API for creative AI workflows without juggling multiple model providers.
- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [Arize AX](https://composio.dev/toolkits/arize_ax) - Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications. Use it to debug LLM behavior, compare experiments, and improve production AI quality.
- [Artificial Analysis](https://composio.dev/toolkits/artificial_analysis) - Artificial Analysis is an independent benchmarking platform for AI models and API providers. Use it to compare model intelligence, coding, math, pricing, latency, throughput, and arena rankings.
- [AssemblyAI](https://composio.dev/toolkits/assemblyai) - AssemblyAI is a speech-to-text and audio intelligence API for uploaded or hosted media. Use it to turn audio and video into accurate transcripts, summaries, and insights.
- [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key.
- [Avoma](https://composio.dev/toolkits/avoma) - Avoma is an AI meeting assistant for recording, transcribing, analyzing, and managing meetings, calls, notes, scorecards, and conversation intelligence. It helps teams turn conversations into searchable notes, follow-ups, coaching insights, and revenue intelligence.
- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
- [Black Forest Labs](https://composio.dev/toolkits/bfl) - Black Forest Labs provides hosted FLUX models for generating and editing images and videos. It offers fast, flexible media creation with asynchronous processing and fine-tuning support.
- [Bland AI](https://composio.dev/toolkits/bland_ai) - Bland AI is a conversational AI platform for building voice agents, phone calls, messaging, and communication workflows. Use it to automate calling, evaluate conversations, and run voice operations at scale.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and LLM API MCP?

With a standalone LLM API MCP server, the agents and LLMs can only access a fixed set of LLM API tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from LLM API and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with ChatGPT?

Yes, you can. ChatGPT fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right LLM API tools.

### Can I manage the permissions and scopes for LLM API while using Tool Router?

Yes, absolutely. You can configure which LLM API scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your LLM API data and credentials are handled as safely as possible.

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