OpenAI GPT MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_MODEL | No | Optional model override for text generation | gpt-5 |
| OPENAI_API_KEY | Yes | Your OpenAI API key | |
| OPENAI_IMAGE_MODEL | No | Optional model override for image generation | gpt-image-2 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_textA | Generate a text response using an OpenAI GPT model via the Responses API. |
| generate_imageB | Generate one image from a text prompt using OpenAI's image generation API. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools are clearly distinct: one generates text and the other generates images. There is no overlap or ambiguity in their purposes.
Both tools follow the same consistent generate_noun pattern using snake_case. The naming convention is uniform and predictable.
Two tools is borderline for a coherent server; they are well-scoped but the surface feels thin for a general OpenAI GPT server. Each tool earns its place, but the count is on the low end.
The two-generation capabilities cover the core domain of text and image generation with no obvious dead ends. Minor gaps exist if considering broader OpenAI features like embeddings or audio, but for the stated GPT-focused purpose the coverage is reasonable.