Codex / OpenAI Image
NPM · CODEX-OPENAI-IMAGE-MCP
Generate, edit and make matching sets of images with the Codex CLI or the OpenAI Images API
Available components
Last scanned (2 hours ago)
Scores higher than 35% of npm servers
Category Design and Media
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security99
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 125 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 8 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability64
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 634 tokens (~211/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 28 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 27 Oct 26 53
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/codex-openai-image-mcp@0.1.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 125 packages
| Packages resolved | 125 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
edit_image Edit image ~275
Change an existing image with a text instruction (e.g. 'make the sky a sunset', 'remove the person on the left', 'turn it into a watercolour', 'remove the background'). The original is never modified; edited copies are saved in the output folder with a .json sidecar, and their paths are returned with small previews.
| Name | Type | Req | Description |
|---|---|---|---|
| count | integer | – | Number of edited variants (1-4). |
| image | string | yes | Path of the image to edit (inside the working folder). |
| mask | string | – | Optional PNG whose transparent areas mark where to edit (openai-api only). Resized to the image if needed. |
| out_name | string | – | File name without extension, relative to the output folder. Defaults to "<input name>-edited". |
| prompt | string | yes | The change to make. Say what should change and, if it matters, what must stay the same. |
| references | array | – | Extra images the edit uses: an object to insert, or a style to apply (inside the working folder). |
| size | string | – | Output size as width x height in px, e.g. "1024x1024". Defaults to the size of the input image. |
| transparent | boolean | – | Ask for a transparent background, e.g. for a cutout. |
No output schema declared.
No examples provided.
generate_image Generate image ~182
Generate one or more images from a text prompt. Saves full-size PNGs (plus a .json sidecar with the prompt and settings) in the output folder and returns their paths with small previews.
| Name | Type | Req | Description |
|---|---|---|---|
| count | integer | – | Number of variants to generate (1-4). |
| out_name | string | – | File name without extension, relative to the output folder, e.g. "icons/rocket". Defaults to a slug of the prompt. |
| prompt | string | yes | What to draw. Be specific about subject, style, composition and colours. |
| references | array | – | Paths of existing images to match the style of (inside the working folder). |
| size | string | – | Width x height in px, e.g. "1024x1024" or "1536x1024". |
| transparent | boolean | – | Ask for a transparent background. |
No output schema declared.
No examples provided.
generate_set Generate matching set ~177
Generate several different images that share one style, e.g. a set of icons, stickers, badges, character portraits or story illustrations. Each item gets its own file, named after the item, in one folder. Returns paths and previews.
| Name | Type | Req | Description |
|---|---|---|---|
| folder | string | – | Folder for the set, relative to the output folder. Defaults to a slug of the style. |
| items | array | yes | The images to make, one per item. |
| references | array | – | Existing images whose style the whole set should match (inside the working folder). |
| size | string | – | Width x height in px for every image, e.g. "1024x1024". |
| style | string | yes | The look every image shares: medium, palette, rendering, lighting, framing, background. |
| transparent | boolean | – | Ask for transparent backgrounds. |
No output schema declared.
No examples provided.
How do I install the Codex / OpenAI Image MCP server?
Codex / OpenAI Image runs locally as an npm package, launched with npx -y codex-openai-image-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · codex-openai-image-mcp
claude mcp add meet30997-codex-openai-image-mcp -- npx -y codex-openai-image-mcp
What is the Codex / OpenAI Image MCP server?
Codex / OpenAI Image is an MCP server listed in the public MCP registry as io.github.meet30997/codex-openai-image-mcp. Generate, edit and make matching sets of images with the Codex CLI or the OpenAI Images API. This page covers its npm package (codex-openai-image-mcp).
Is the Codex / OpenAI Image MCP server safe to use?
Codex / OpenAI Image scores 68 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Codex / OpenAI Image MCP server expose?
Codex / OpenAI Image exposes 3 tools: generate_image, edit_image, generate_set. Their descriptions and schemas cost roughly 634 tokens of context every time the server is loaded.
Is the Codex / OpenAI Image MCP server still maintained?
Codex / OpenAI Image is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Codex / OpenAI Image MCP server under?
Codex / OpenAI Image declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.