Gpt MCP Server

If you already use Gpt, the gpt mcp server is the piece that lets your assistant work with it directly. MCP server for the OpenAI ChatGPT API — chat, vision, and embeddings.

What the server does

An MCP (Model Context Protocol) server for the OpenAI ChatGPT API. Built in Rust, exposes chat completions, vision, embeddings, and model listing as MCP tools.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

• chat — Send a chat completion request to ChatGPT with optional multi-turn history, system prompt, structured output (JSON schema), and model selection
• chat_with_vision — Analyse an image with ChatGPT's vision capabilities given an image URL and text prompt
• embedding — Generate text embeddings using OpenAI's embedding model
• list_models — List all available OpenAI models and their IDs

Credentials and setup notes

• Rust (edition 2024) - An OpenAI API key from platform.openai.com

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Where it fits

Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Gpt's toolset — chat, chat_with_vision, embedding and 1 more — is a fair guide to whether it matches your workflow. It is maintained by codeChap; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Worth knowing first

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.