English Français العربية

io.github.codeChap/gpt-chat

Official registry AI and agents

MCP server for the OpenAI ChatGPT API — chat, vision, and embeddings

Source code Documentation

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. mcp-server-gpt-chat
  2. Tools
  3. Prerequisites
  4. Setup
  5. Build
  6. MCP Configuration
  7. Project Structure
  8. License

mcp-server-gpt-chat

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.

Communicates via stdio using JSON-RPC 2.0, like all MCP servers.

Tools

ToolDescription
chatSend a chat completion request to ChatGPT with optional multi-turn history, system prompt, structured output (JSON schema), and model selection
chat_with_visionAnalyse an image with ChatGPT's vision capabilities given an image URL and text prompt
embeddingGenerate text embeddings using OpenAI's embedding model
list_modelsList all available OpenAI models and their IDs
chat

Send a chat completion request. Supports multi-turn conversations via a JSON message history array, system prompts, structured output via JSON schema, temperature control, and model selection.

Parameters:

NameTypeRequiredDescription
promptstringyesThe user message to send
modelstringnoModel to use (default: gpt-4o)
system_promptstringnoSystem prompt to set context
messagesstringnoFull conversation history as JSON array of {role, content} objects
temperaturefloatnoSampling temperature (0.0 - 2.0)
max_tokensintegernoMaximum tokens to generate
response_schemastringnoJSON schema string to enforce structured output
chat_with_vision

Analyse an image using ChatGPT's vision capabilities.

Parameters:

NameTypeRequiredDescription
promptstringyesText prompt describing what to analyse
image_urlstringyesURL of the image (must be http:// or https://)
modelstringnoModel to use (default: gpt-4o)
detailstringnoImage detail level: low or high (default: high)
temperaturefloatnoSampling temperature (0.0 - 2.0)
max_tokensintegernoMaximum tokens to generate
embedding

Generate text embeddings.

Parameters:

NameTypeRequiredDescription
inputstringyesText to embed as JSON: a single string or array of strings
modelstringnoEmbedding model to use (default: text-embedding-3-small)
list_models

List all available OpenAI models. No parameters.

Prerequisites

Setup

Create the config file:

mkdir -p ~/.config/mcp-server-gpt-chat

Create ~/.config/mcp-server-gpt-chat/config.toml:

api_key = "sk-..."

Build

cargo build --release

This produces target/release/gpt-chat.

For development:

cargo build              # debug build
cargo run                # run in dev mode
RUST_LOG=debug cargo run # run with debug logging

MCP Configuration

Add to your Claude Desktop config (~/.config/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "gpt-chat": {
      "command": "/path/to/gpt-chat"
    }
  }
}

Project Structure

src/
  main.rs    - entry point, config loading, stdio transport setup
  server.rs  - MCP tool definitions (chat, chat_with_vision, embedding, list_models)
  api.rs     - OpenAI HTTP client, request/response types, response formatters
  params.rs  - tool parameter types with serde and JSON Schema derives
  config.rs  - TOML config loading

License

MIT

Frequently asked questions

What is io.github.codeChap/gpt-chat?

MCP server for the OpenAI ChatGPT API — chat, vision, and embeddings

How do I install io.github.codeChap/gpt-chat?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is io.github.codeChap/gpt-chat open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.codeChap/gpt-chat?

It is published by codeChap. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.