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Custom GPT Migration to ChatGPT Plugins, MCP Servers, and Your Website

For teams whose daily work runs on GPTs inside ChatGPT: each one moved to a ChatGPT plugin, an MCP server, or your own website, and tested on your real prompts.

How your project runs

01 · Free
AssistantWhich orders are running late?3 orders are late:#10422 days late#10571 day late#10631 day lateOrders DBShipping APISEARCHING YOUR DATAOrders DBShipping APISupport docsAnswer checked
  1. 01Free GPT Review
  2. 02Inventory and Prompts
  3. 03Migrate and Rebuild
  4. 04Side-by-Side Testing
  5. 05Switch and Hand Over

Teams we have built for:

  • Amazon Web Services
  • HubSpot
  • Linode
  • Microsoft Azure
  • Moodle
  • Magento
  • Oracle
  • Salesforce
  • SAP
  • Squarespace
  • Weebly
  • WP Engine
  • Google Cloud
  • DigitalOcean

The Problem

Your Custom GPT for Business Has a Retirement Date

As of October 2026, OpenAI's Help Center lists December 11, 2026 as the standard retirement date for GPTs. ChatGPT plugins replace them, and GPTs your team uses daily need a tested move, not a rushed copy.

  1. Lost actions

    Custom actions don't transfer to the new plugin.

    Lost actions

    Each action is rebuilt as an MCP server tool and tested against the original.

  2. Login wall

    Customers must sign in to ChatGPT to use your GPT.

    Login wall

    An API assistant runs on your own site with no ChatGPT login.

  3. Test prompts

    Nobody saved the prompts that prove the GPT works.

    Test prompts

    We collect real prompts and compare old and new answers side by side.

  4. Orphaned GPTs

    The builder left, and edit access left with them.

    Orphaned GPTs

    Each replacement's owner, files, and settings are documented at handover.

Your team runs on a few GPTs: one drafts proposals from your price sheet, one answers HR policy questions, and one checks order status through a custom action. Then the notice arrives. New GPTs can't be created on personal plans, a migrated GPT turns read-only, and custom actions don't carry over to plugins. The person who built the customized GPT has left, the action's API key sits in their old notes, and nobody saved the prompts that prove it worked.

We start with an inventory: every GPT your team uses, with its instructions, files, actions, and the prompts people rely on. Then we move each one to the right home: a ChatGPT plugin for internal work, an MCP server for actions that call your systems, or an API assistant for your website. Every replacement is tested against saved prompts before anyone switches, so your workflows keep running instead of breaking on retirement day.

  • Inventory before migration

    Every GPT, file, action, and saved prompt listed, with an owner named for each replacement.

  • Actions rebuilt properly

    Custom actions become MCP server tools with OAuth sign-in instead of one shared API key.

  • Tested against old answers

    Saved prompts run on the old GPT and its replacement, so differences surface before switching.

Our Custom GPT Development Process

From GPT Inventory to Tested Replacement in Five Clear Steps

You approve the migration map before we move anything, then compare old and new answers on your own prompts before anyone on your team is asked to switch.

  1. We look at the GPTs your team uses, what each one does, and which ones call outside systems. You get a migration map, a fixed price, and a plan built around the date in your workspace notice.

What's Included

What You Get With Custom GPT Development for Business

Everything needed to move off the GPT feature without losing what works: an inventory, the right replacement for each GPT, rebuilt actions, and a clean handover.

  • GPT inventory and migration map

    Every GPT, file, action, and owner listed, with the right replacement chosen for each one.

  • ChatGPT plugin rebuilds

    Instructions rewritten as plugin skills and knowledge files moved to reference files, ready for your workspace.

  • MCP server for actions

    Custom actions rebuilt as MCP tools with OAuth sign-in, scoped permissions, and a log of every call.

  • Website assistant rebuild

    Your GPT's instructions and files rebuilt on the OpenAI API, with a chat widget and no ChatGPT login.

  • Before-and-after test report

    Saved prompts run on the old and new versions, with every difference reviewed and fixed before switching.

  • Handover and runbook

    Code, MCP server, test prompts, and steps for editing skills, plus 30 days of fixes after launch.

Compare Options

DeveloperLook vs DIY Migration vs Freelancer

OpenAI's built-in migration suits simple GPTs, and a freelancer suits one small rebuild. Here is how custom GPT AI chatbot solutions compare once actions, websites, and testing enter the picture.

DeveloperLook
DIY Migration
Instructions and files
DeveloperLook: Rewritten as skills and retestedDIY Migration: Built-in migration copies them
Custom actions
DeveloperLook: Rebuilt as MCP tools with OAuthDIY Migration: Not moved by the built-in tool
Testing
DeveloperLook: Saved prompts compared side by sideDIY Migration: Your own spot checks
Website use
DeveloperLook: API assistant on your own siteDIY Migration: Not possible inside ChatGPT
Team access
DeveloperLook: Workspace sharing set upDIY Migration: Share Plugin can prefill users
Speed
DeveloperLook: 1 to 2 weeks per batchDIY Migration: Same day for simple GPTs
Ownership
DeveloperLook: Code and MCP server are yoursDIY Migration: Plugin stays in your account
Cost
DeveloperLook: Fixed price per batchDIY Migration: Your time within plan limits

Projects We've Built

HR, learning, and startup products we built where policies, courses, and help content need clear answers. They show our product work, not GPT migrations.

What Our Clients Say

What Clients Say After Launch

Feedback from teams we have built apps, platforms, and websites for.

We had a pretty specific idea of what we wanted our website to become, but I wasn’t sure how easily we could explain all of it to a development team. There were quite a few moving parts, and we were working toward a deadline, so I expected a few things to get lost along the way. That never really happened. They understood what we were trying to achieve, kept us updated throughout the process, and got everything ready within the agreed timeline. The final site feels much easier to navigate, works beautifully on mobile, and is noticeably smoother for our customers. It was a huge relief seeing the original idea actually turn into the website we had in mind.

Michael BennettFounder & CEO of Northbridge Consulting01 / 03
  • 1,250+

    Projects shipped

  • 10+

    Years of experience

  • Top 3%

    Upwork Top Rated Plus

  • 5 stars

    Average review score

  • 1,250+

    Projects shipped

  • 10+

    Years of experience

  • Top 3%

    Upwork Top Rated Plus

  • 5 stars

    Average review score

Want results like these?

Tell us what you are building. You get a reply within 24 hours on business days, then a written estimate.

Work Culture

Why Teams Trust Us With Their GPT Migration

Teams compare custom GPT development services on speed. The better test is whether every workflow still works after the switch, and these six habits shape every migration.

  • Dates from OpenAI's notices

    We plan around the retirement date in your workspace notice, not a guess. FedRAMP and deferred workspaces have later dates, so we check yours first.

  • Honest about DIY

    If OpenAI's built-in migration moves your GPT cleanly, we tell you to use it. You pay us only for actions, websites, and GPTs it can't handle.

  • No shared admin keys

    Rebuilt actions sign each user in through OAuth instead of reusing one stored key. Your security team can see who called what.

  • Same answers, proven

    We compare old and new answers on real prompts before anyone switches. Your team trusts the replacement because they saw the results.

  • The right home per GPT

    Some GPTs belong in a plugin, some in an MCP server, and some on your website. We choose per GPT instead of forcing one pattern.

  • You own the rebuild

    Plugin files, MCP server code, and test prompts stay in your accounts. Moving to Claude or another model later doesn't mean starting over.

Overview

How does a custom GPT work inside ChatGPT?

DeveloperLook moves each custom GPT your team relies on to a supported home: a ChatGPT plugin, an MCP server for its actions, or an API assistant on your website. Each project includes an inventory, rebuilt actions with OAuth, and side-by-side tests on saved prompts. Projects start at $650 and take 1 to 6 weeks.

DEVELOPERLOOK

Project facts · Custom GPT Development

Service
Custom GPT Development (migration to plugins, MCP action rebuilds, website assistants)
Typical timeline
1 to 2 weeks per plugin migration, 3 to 6 weeks with actions or websites
Platforms
ChatGPT plugins, OpenAI API, Claude, and your own website
Built with
Model Context Protocol, OpenAI API, TypeScript, Python, OAuth
Experience
10+ years of development experience and 1,250+ shipped projects
Post-launch support
30 days of fixes after launch
Communication
Calls in US, UK, and AU business hours
Starting price
From $650 USD, fixed scope after a GPT review

Reviewed 28 Oct 2026 by Saimul Islam

Good fit

  • Teams running internal GPTs daily

    Your staff use GPTs for proposals, policies, or onboarding every day, and each one needs moving and retesting before the date in your workspace notice.

  • GPTs with custom actions

    Your GPT checks orders or creates tickets through a custom action, and you just learned that actions don't carry over to plugins.

  • Businesses with a public GPT

    You shared a custom ChatGPT with customers through a link, and now you want it on your own website without a ChatGPT login.

  • Enterprise workspace admins

    You manage dozens of GPTs across departments and need an inventory, named owners, and a bulk migration plan with testing.

  • Agencies that built client GPTs

    You built GPTs for clients and need them moved to plugins, MCP servers, or websites under your brand, with tests your clients can review.

Not a fit

  • Brand-new GPT builds

    You want a brand-new GPT built from scratch. OpenAI has closed new GPT creation on personal plans, so we build plugins or API assistants instead.

  • A full support chatbot

    You need a customer support chatbot tied to your help desk and order data. Our AI Chatbot Development page covers that larger build.

  • AI access to many systems

    You need AI tools connected to several company systems at once, well beyond one GPT's actions. Our MCP Server Development page covers that scope.

  • Budget under $650

    Your budget is under $650 and your GPT has no custom actions. OpenAI's built-in migration to a plugin may be all you need.

Not sure we're the right fit?

Book a free call or message us. We'll tell you honestly whether we're the right team.

Pricing

Transparent Starting Prices for Custom GPT Development

These are starting points in USD. Your final price depends on how many GPTs move, their custom actions, and any website use, and you get a fixed proposal after a free GPT review.

$1k$2k$3k$4k$5k$650$1,700$3,900

For teams with one or two GPTs that must keep working inside ChatGPT.

$650one-time, USD

Get a fixed quote
  • Up to 2 GPTs reviewed and moved
  • Instructions rewritten as plugin skills
  • Knowledge files cleaned and moved
  • Before-and-after test on your saved prompts
  • Workspace sharing set up for your team
  • 30 days of fixes after launch

Recommended

For GPTs that call your systems through custom actions that won't transfer.

$1,700one-time, USD

Get a fixed quote
  • Everything in GPT to Plugin Migration
  • Up to 4 actions rebuilt as MCP server tools
  • OAuth sign-in and scoped permissions
  • Hosted in your cloud with call logs
  • Each tool tested against the old action

For businesses that want their GPT on their own website, with no ChatGPT login.

$3,900one-time, USD

Get a fixed quote
  • Everything in Actions Rebuild
  • Assistant rebuilt on the OpenAI API
  • Branded chat widget for your website
  • Retrieval over your knowledge files
  • Conversation logs and usage limits
  • Admin view for prompts and files

For Agencies

White-Label GPT Migration for Agencies and Studios

You own the client relationship. We supply the engineering that moves your clients' GPTs: inventories, plugin rebuilds, MCP servers for their actions, and website assistants. Test reports carry your brand, so the switch looks like your work to every client.

How the partnership works

White label: your client only ever sees your brand

Your clientSees only your brand
You, the agencyOwn the relationship
DeveloperLookBehind your brand
  1. Share the GPT list

    Send each client's GPTs, their actions, and who uses them day to day.

    • Client needs
    • You share the details
    • Details received
  2. We map and price

    You get a migration map, a fixed price, and a date for each client.

    • Scope and plan
    • Proposal to resell
    • Your quoteYOUR LOGO
  3. Migrate and hand off

    We move, test, and document each GPT under your brand for client handover.

    • Done by our team
    • Your brand on it
    • Handed to your clientDone
  • Your client
  • You, the agency
  • DeveloperLook
  1. Share the GPT list

    Send each client's GPTs, their actions, and who uses them day to day.

    1. Client needs
    2. You share the details
    3. Details received
  2. We map and price

    You get a migration map, a fixed price, and a date for each client.

    1. Scope and plan
    2. Proposal to resell
    3. Your quoteYOUR LOGO
  3. Migrate and hand off

    We move, test, and document each GPT under your brand for client handover.

    1. Done by our team
    2. Your brand on it
    3. Handed to your clientDone
  • Stay client-facing

    You keep every client conversation while we handle the migration work.

  • Proof for each client

    Before-and-after test reports show each client their workflows still work.

  • Batch migrations

    Several client GPTs move in one planned batch with shared tooling.

  • Deadline-aware plans

    Each plan follows the retirement date in that client's workspace notice.

The Right Technology for Your Project

Technology Stack

We rebuild GPT workflows on the supported paths OpenAI and Anthropic document, using open standards like MCP so your team isn't tied to one model.

    • OpenAI logoChatGPT
    • OpenAI API
    • Anthropic Claude logoAnthropic Claude
    • Model Context Protocol
    • TypeScript logoTypeScript
    • Python logoPython
    • Node.js logoNode.js
    • Docker logoDocker
    • Cloudflare logoCloudflare
    • Next.js logoNext.js
    • React logoReact
    • Vercel logoVercel
    • PostgreSQL logoPostgreSQL
    • pgvector
    • OAuth sign-in
    • Auth0
    • Microsoft Entra ID
    • Google Workspace
01 / 04

FAQ

Frequently Asked Questions

Straight answers on cost, website embeds, actions, and file limits for custom GPTs and what replaces them.

  • A custom GPT is a ChatGPT setup built for one job, with its own instructions, knowledge files, and optional actions that reach outside APIs. Teams use them for proposals, policy questions, and onboarding help. OpenAI's Help Center (October 2026) lists December 11, 2026 as the standard retirement date and plugins as the replacement, so new work targets plugins.

  • No. A GPT answers inside ChatGPT when a person prompts it, while an AI agent works toward a goal across several steps and tools. Actions gave GPTs some reach into other systems, but each step still waited for a user. If you need software that runs multi-step work on its own, our AI Agent Development Services page covers that.

  • GPT migration starts at $650 to move up to 2 GPTs to ChatGPT plugins with before-and-after testing. Rebuilding up to 4 custom actions as MCP server tools is $1,700, and a Website Assistant Rebuild on the OpenAI API starts at $3,900. API, hosting, and ChatGPT plan costs are billed to your own accounts.

  • Using a GPT is free on any ChatGPT plan once you sign in, but creating new ones is closed on personal accounts. As of October 2026, OpenAI says Free, Go, Plus, and Pro accounts can't create or publish new GPTs, and editing an existing one still needs an eligible plan. Plugins and API usage follow their own plan rules and prices.

  • No. OpenAI's Help Center says GPTs are designed to work inside ChatGPT and are not a way to embed ChatGPT in an external website. To put an assistant on your site, you build it with the API. We rebuild the GPT's instructions and files as an API assistant with your branding, which is how you host custom GPT externally without a ChatGPT login.

  • You integrate it by rebuilding it on the API, not by linking to it. The GPT's instructions become a system prompt, its knowledge files go into a retrieval index, and each action becomes a tool call your backend controls. A chat widget on your site talks to that backend, so you keep the logs, the usage limits, and the branding.

  • Actions let a GPT call an external API described in an OpenAPI schema, with no authentication, an API key, or OAuth. Teams used them to look up orders, create tickets, or read CRM records. OpenAI's migration FAQ says actions don't transfer to plugins automatically, so we rebuild each one as an MCP server tool and test it against the old behavior.

  • No. OpenAI's Help Center says GPTs don't use saved memory, custom instructions, or previous conversations, so each conversation starts fresh. Anything a GPT must know has to live in its instructions or knowledge files. When we rebuild a GPT as an API assistant, we can add memory you control, such as saved customer preferences, stored in your own database.

  • You can attach up to 20 knowledge files to a GPT, each up to 512 MB, according to OpenAI's Help Center in October 2026. Text and document files are also capped at 2 million tokens each. During migration those files move into the plugin's reference files, and larger document libraries go into a retrieval index instead.

  • Claude Projects are the closest equivalent: shared workspaces with their own knowledge base, uploaded documents, and context, available even on free Claude accounts. Claude also supports skills and connects to tools through MCP, the same protocol ChatGPT plugins use for custom apps. If your team is leaving GPTs anyway, we can rebuild a workflow as a Claude Project plus an MCP server.

Saimul IslamFounder & CEO, DeveloperLook

Still have questions?

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