Gpt Chat

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "gpt-chat": {
      "command": "npx",
      "args": [
        "-y",
        "gpt-chat"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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.

Prerequisites

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

Setup

Create the config file:

bash

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

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

toml

api_key = "sk-..."

Build

bash

cargo build --release

This produces target/release/gpt-chat.

For development:

bash

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):

config.json

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

Project Structure

Code

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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Knowledge & Memory View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Gpt Chat

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "gpt-chat": { "command": "npx", "args": ["-y", "gpt-chat"] } }

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Technical Specs & Signals

CategoryKnowledge & Memory

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to Gpt Chat →Install in Claude Desktop Install in Cursor Install in VS Code

Gpt Chat

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "gpt-chat": {
      "command": "npx",
      "args": [
        "-y",
        "gpt-chat"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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.

Prerequisites

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

Setup

Create the config file:

bash

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

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

toml

api_key = "sk-..."

Build

bash

cargo build --release

This produces target/release/gpt-chat.

For development:

bash

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):

config.json

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

Project Structure

Code

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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Knowledge & Memory View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Gpt Chat

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "gpt-chat": { "command": "npx", "args": ["-y", "gpt-chat"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/gpt-chat?style=directory)](https://allmcps.com/mcp/gpt-chat)

HTML Embed

<a href="https://allmcps.com/mcp/gpt-chat"><img src="https://allmcps.com/api/badge/gpt-chat?style=directory" alt="Gpt Chat on AllMCPs" /></a>

Technical Specs & Signals

CategoryKnowledge & Memory

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to Gpt Chat →Install in Claude Desktop Install in Cursor Install in VS Code