ChatGPT Plugin / GPT Store vs Claude MCP Integration
Both ChatGPT Plugin / GPT Store and Claude MCP Integration are ways to put your product in front of AI-native buyers. This side-by-side compares effort, speed and reach so you can decide which to prioritise.
Side by side
| ChatGPT Plugin / GPT Store | Claude MCP Integration | |
|---|---|---|
| Category | AI Assistant | AI Assistant |
| Setup effort | Medium | High |
| Time to first result | 1–2 weeks post-publication | 2–4 weeks including catalogue submission |
| Reach | 100M+ weekly active ChatGPT users | Claude's growing enterprise + power-user base; MCP catalogue browsers |
ChatGPT Plugin / GPT Store
ChatGPT has over 100 million weekly active users who use it to discover products and services. A custom GPT in the GPT Store surfaces Gera services when users ask relevant questions — "find me a plumber in Yerevan", "what compliance tool do I need for the EU AI Act".
How it works
A custom GPT is configured with a system prompt describing the product, a retrieval action that calls the product's MCP server or REST API, and a GPT Store listing optimised for search within the platform. When a user's query matches the GPT's description, ChatGPT surfaces it as a recommended tool.
What we measure
- •GPT opens per week
- •Handoff clicks to product
- •Signups attributed to GPT referral
Claude MCP Integration
Anthropic's Model Context Protocol (MCP) allows Claude to call external tools and data sources during conversations. A published MCP server for each Gera product means Claude can book a GeraHome tradesperson, check GeraCompliance requirements, or post a GeraJobs listing directly within a Claude conversation — without the user leaving the chat interface.
How it works
Each product exposes an MCP server (published to npm as @gera/[product]-mcp) with typed tool definitions. Claude desktop users install the server; enterprise users configure it in their Claude for Work deployment. MCP catalogue listings (mcp.so, Glama, Smithery) drive organic discovery.
What we measure
- •MCP server installs
- •Tool call volume per product
- •Signups attributed to MCP session
Frequently asked questions
What is the difference between ChatGPT Plugin / GPT Store and Claude MCP Integration?
ChatGPT Plugin / GPT Store: ChatGPT has over 100 million weekly active users who use it to discover products and services. Claude MCP Integration: Anthropic's Model Context Protocol (MCP) allows Claude to call external tools and data sources during conversations.
Which is faster to set up, ChatGPT Plugin / GPT Store or Claude MCP Integration?
ChatGPT Plugin / GPT Store is medium-effort with a first result in 1–2 weeks post-publication. Claude MCP Integration is high-effort with a first result in 2–4 weeks including catalogue submission.
How does GeraReach use ChatGPT Plugin / GPT Store and Claude MCP Integration?
All 36 products have candidate GPT configurations; 11 revenue products prioritised for initial GPT Store listing 13 MCP packages published to npm under @gera/*; registered on mcp.so, Glama, and Smithery
GeraReach runs both — and the other 20 channels
Instead of picking one, GeraReach operates every AI acquisition channel for Gera Systems products at once.
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