ChatGPT Plugin Guide: What Plugins Are in 2026 and How They Work
TL;DR: A ChatGPT plugin in 2026 is a package of skills, an MCP server and optional interface elements that people install and use inside ChatGPT and Codex. This guide explains the parts, how plugins are found and called, what they can and cannot do, and how the term differs from the 2023 plugins and the 2025 apps.
What is a ChatGPT plugin in 2026?
A ChatGPT plugin in 2026 is a package people discover, install, share and publish in ChatGPT and Codex. It can contain skills, which are written instructions for a workflow, one or more MCP servers that give ChatGPT tools to read and act in an outside product, and optional interface extensions such as a sidebar view or file viewer. It is unrelated to the 2023 plugin beta, and it is what OpenAI's 2025 documentation called ChatGPT apps. HouseofMVPs builds plugins for existing software products from $4,999. Book a 30 minute scoping call.
The word plugin has meant three different things at OpenAI in four years. If you last looked in 2023, or even in 2025, most of what you remember no longer applies.
This guide describes the system as OpenAI documents it in October 2026.
The short version
A plugin is a package. People find it in a directory, install it, and then use it by talking to ChatGPT. OpenAI's developer documentation defines plugins as "the packages people discover, install, share, and publish in ChatGPT and Codex".
Inside the package there can be up to three kinds of thing.
| Part | What it is | When you need it |
|---|---|---|
| Skills | A folder with a SKILL.md file: when to use a workflow, the steps, what success looks like | A repeatable procedure that needs no outside system |
| MCP server | A service you host that exposes tools ChatGPT can call | Live data or actions in your product |
| Interface extensions | Views inside ChatGPT: sidebar, panels, file viewers, forms | Results people need to see, compare or edit |
A plugin can be skills only, a server only, or any mix.
Apps, plugins, connectors: the vocabulary
You will meet all three words, sometimes on the same page.
- Plugin is what gets listed, installed and shared.
- App is the connection to an outside service inside a plugin. The Help Center puts it this way: an app connects ChatGPT to a service such as Slack, and a plugin brings apps and skills together for a task.
- Connector and Apps SDK are older names that survive in URLs, permission names and a few admin screens.
For a company deciding what to build, the practical reading is: you build an MCP server, it becomes an app, and you ship it inside a plugin.
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How this differs from 2023 and 2025
2023 plugins described an existing web API with an OpenAPI file and a manifest. ChatGPT read the file and called the API. That system was retired.
2025 apps introduced the Model Context Protocol as the connection and added interface components.
2026 plugins keep that foundation and add packaging: skills, a shared directory for ChatGPT and Codex, a submission flow with automated scans, and extensions that put a plugin's interface into ChatGPT itself.
If a tutorial tells you to write an ai-plugin.json file, it is describing 2023.
How people find a plugin
OpenAI's Help Center lists the routes:
- The directory, with categories such as Popular and New & Noteworthy, and tabs for public plugins, your workspace's plugins, your own, and the ones you have installed.
- A suggestion during a conversation, which the person can review and install.
- A direct link from the company that made it.
What appears depends on the person's plan, workspace, role and region. In a company workspace, administrators decide which plugins people can install.
Some plugins show an OpenAI Verified badge. OpenAI says it works with selected developers to review those for quality, reliability and usefulness. It is a program OpenAI runs, not a tier you can apply for in the submission form.
How a plugin gets called
Once installed, a plugin can be used in three ways:
- Automatically. ChatGPT uses installed plugins when they are relevant to the request.
- By name. The person types
@and picks the plugin. - From the composer. The plus menu or the Plugins control.
In the automatic case, ChatGPT is matching the request against the names and descriptions of your tools. Those descriptions are the most important copy in the whole plugin. Our MCP architecture guide covers how to write them.
What a plugin can do
- Read live data from the person's own account in your product
- Take actions there, with ChatGPT asking for confirmation on the ones that matter
- Return structured results ChatGPT can reason over
- Work alongside other plugins in a single request
- Show its own views inside ChatGPT, where extensions are supported
- React to events in your product, where MCP Events is supported
What a plugin cannot do
- Reach people who have not installed it, except as a suggestion OpenAI chooses to show.
- Sell software. OpenAI limits commerce in plugins to physical goods. Digital products and subscriptions are not allowed.
- Advertise. Advertising inside plugins is prohibited.
- Duplicate ChatGPT. A plugin must offer something ChatGPT does not already do.
- Bypass permissions. Installing a plugin never grants more access than the person's own account and their workspace allow.
- Run on your laptop for the public. A public plugin's server must be on a public HTTPS address.
Trying one before you build
You can connect an MCP server to ChatGPT privately before any review. OpenAI's developer documentation describes adding a custom MCP server from the Plugins page and creating it as a plugin.
Access varies by plan. The Help Center says full MCP support including write actions is in beta for Business, Enterprise and Edu, where an administrator enables developer mode, and that Pro users can connect MCP servers with read and fetch permissions. Check your own plan before you assume a teammate can test with you.
OpenAI also provides Plugin Creator: install it from the directory, start a chat with @plugin-creator, and describe the plugin you want. It is a good way to make an internal plugin from skills and existing apps. It does not build the server in front of your own product.
Is it worth building one
That depends on your product, not on the platform. A plugin earns its place when customers repeat a workflow that needs data in their own account, and you can name the questions they would ask. It does not when ChatGPT already does the job or when there is nothing to act on.
Three ways to go further:
- Run the readiness checker: nine questions, fixed rules, reasons shown
- Read what DevDay 2026 means for SaaS companies for what is confirmed and what is unknown
- See what a build includes on the ChatGPT plugin development page
HouseofMVPs is an independent studio and is not affiliated with OpenAI.
Sources and verification
Each claim below was read from the linked page on the date shown. Vendors change their documentation without notice, so check the source before relying on a detail.
| Claim | Source | Source date | Verified |
|---|---|---|---|
| Definition of a plugin, its components, lifecycle hooks, universal directory, MCP Apps UI standard | OpenAI developer docs, Plugin architectureFirst party | Undated | 9 Oct 2026 |
| User facing definitions of app and plugin, how to find, install and use plugins, suggestions in conversation, OpenAI Verified badge, Desktop only label, workspace controls | OpenAI Help Center, Plugins in ChatGPTFirst party | Updated about 6 Oct 2026 | 9 Oct 2026 |
| Package structure, Plugin Creator, workspace publishing, public directory | OpenAI developer docs, Package your pluginFirst party | Undated | 9 Oct 2026 |
| Plugins must offer functionality not natively supported; commerce and advertising limits | OpenAI developer docs, Plugin guidelinesFirst party | Undated | 9 Oct 2026 |
| Developer mode availability by plan | OpenAI Help Center, Developer mode and MCP apps in ChatGPTFirst party | Updated about 7 Oct 2026 | 9 Oct 2026 |
HouseofMVPs is an independent development studio. We are not affiliated with, endorsed by or partnered with OpenAI. ChatGPT is a trademark of OpenAI. We build the plugin and prepare the submission. OpenAI controls review, approval, ranking and publication.
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