backdraw
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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": false
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageA | Generate or edit an image with ChatGPT through the user's own logged-in ChatGPT account in Google Chrome (no OpenAI API key, no extra cost). A new chat is started inside the user's selected ChatGPT Project, in a background tab: the user's active tab, window focus, mouse and keyboard are never touched. Waits up to wait_seconds (default 45) and returns: SUCCESS with the saved file path(s) (always kept in the images folder), a preview and the conversation link; NEEDS REFERENCE IMAGE / CHATGPT REPLIED WITHOUT AN IMAGE together with ChatGPT's own reply text; or, while ChatGPT is still working, STILL RUNNING / QUEUED with a job id: then keep calling job_status with that job_id. Use it whenever the user asks for an image, visual, illustration or concept art with ChatGPT, in any language. Write a detailed, self-contained prompt (subject, style, composition, colors, mood); give the shape in aspect_ratio rather than in the prompt. To edit an image or keep a character consistent, pass the image file(s) in reference_images: a fresh chat with reference_images is the most reliable way to edit. To use one of the user's saved reference collections (see list_collections), pass reference_collection. |
| job_statusA | Check a ChatGPT image job by job_id, waiting up to wait_seconds (default 45) for it to finish; call it again while the result says STILL RUNNING or QUEUED. Without job_id it reports the bridge itself: whether Chrome and the extension are connected, the selected ChatGPT project, the images folder, the queue and recent jobs. |
| cancel_jobA | Cancel a queued or running ChatGPT image job. If ChatGPT is already generating, it presses Stop in the background tab and closes that tab. |
| fetch_imagesA | Download the generated images of the latest answer in an existing ChatGPT conversation (by its link) without sending anything. Use it when a job timed out or failed after ChatGPT had started, but the chat finished later, or to save images from an earlier chat. Like generate_image it returns within wait_seconds (default 45); if it says STILL RUNNING or QUEUED, keep calling job_status with its job_id. |
| list_projectsA | List the Projects in the user's ChatGPT account (read from ChatGPT's sidebar in a background tab) and show which one is selected for images. Use it during setup. |
| select_projectA | Select and remember the ChatGPT Project where new image chats are created. Pass the project name as shown in ChatGPT (matched loosely) or its https://chatgpt.com/g/g-p-…/project link. |
| list_collectionsA | List the reference collections the user saved in Chrome (right-click an image, "Add to Backdraw"): each with its image count, folder and files (newest first, with the site they came from). Pass a collection's name as generate_image's reference_collection to attach its images (up to 16 references; reference_files picks specific ones). |
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 7 tools
Each tool targets a distinct operation (generation, polling, cancellation, fetching from an existing chat, project selection, collection listing). The only mild overlap is between fetch_images and job_status, since fetch_images itself spawns a pollable job, but the descriptions explicitly clarify the relationship.
Names mostly follow a verb_noun pattern (generate_image, cancel_job, fetch_images, list_projects, select_project, list_collections). job_status breaks the pattern as a noun_noun status reporter, a minor deviation that is still readable.
Seven tools is well-scoped for a browser-bridge image generator: one core action, one polling tool, one cancel, one fetch, and three small configuration/listing tools. Each earns its place.
The lifecycle is covered: generate, poll, cancel, recover via fetch_images, plus project and collection discovery. Minor gaps remain, such as managing reference collections (adding/removing) from within the MCP rather than via Chrome right-click.