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mcp-server-gpt-chat

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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

Tool

Description

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

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:

Name

Type

Required

Description

prompt

string

yes

The user message to send

model

string

no

Model to use (default: gpt-4o)

system_prompt

string

no

System prompt to set context

messages

string

no

Full conversation history as JSON array of {role, content} objects

temperature

float

no

Sampling temperature (0.0 - 2.0)

max_tokens

integer

no

Maximum tokens to generate

response_schema

string

no

JSON schema string to enforce structured output

chat_with_vision

Analyse an image using ChatGPT's vision capabilities.

Parameters:

Name

Type

Required

Description

prompt

string

yes

Text prompt describing what to analyse

image_url

string

yes

URL of the image (must be http:// or https://)

model

string

no

Model to use (default: gpt-4o)

detail

string

no

Image detail level: low or high (default: high)

temperature

float

no

Sampling temperature (0.0 - 2.0)

max_tokens

integer

no

Maximum tokens to generate

embedding

Generate text embeddings.

Parameters:

Name

Type

Required

Description

input

string

yes

Text to embed as JSON: a single string or array of strings

model

string

no

Embedding model to use (default: text-embedding-3-small)

list_models

List all available OpenAI models. No parameters.

Related MCP server: Blabber-MCP

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

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Related MCP Connectors

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    Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer

View all MCP Connectors

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