io.github.gaoruitech/genrelay-mcp
NPM · GENRELAY-MCP
Generate video and images (Veo 3.1, Grok Imagine, Nano Banana, GPT Image 2) via the GenRelay API.
Available components
Last scanned (6 hours ago)
Scores higher than 39% 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 Security98
- 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 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
- 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 10 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability75
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 416 tokens (~104/item across 4 items; 4 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management30
- Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 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
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.
- 23 Oct 26 −5
- Source repository: pass → fail ▼ security
- 22 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
- 21 Oct 26 +3
- Stability: unverified → 0.23 ▲ functional
- 14 Oct 26 +32
- Injection markers: unverified → pass ▲ security
- First check of Judged manipulation: pass security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Tool coverage: unverified → 100 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- First check of Schema quality: fail functional
- First check of Destructive annotations: pass functional
- First check of Schema quality: pass functional
- First check of Schema quality: good functional
- First check of Tool coverage: 100 functional
- 13 Oct 26 0
- Package version: 0.1.1 → 0.1.2 functional
- 12 Oct 26 38
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 23 Oct 2026 · Analysed npm/genrelay-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 92 packages
| Packages resolved | 92 |
|---|---|
| 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 →
check_job Check a generation job ~58
Check a job started earlier by generate_video or generate_image, using its task id. Returns the current status and, once finished, the download URL.
| Name | Type | Req | Description |
|---|---|---|---|
| task_id | string | yes | The task id, e.g. "task_abc123". |
No output schema declared.
No examples provided.
generate_image Generate an image ~132
Generate an image with Nano Banana Pro/2 or GPT Image 2. Usually finishes within the tool-call budget and returns the picture inline. Supports image editing and reference-guided generation via reference_images.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | – | Which image model to use. |
| prompt | string | yes | What the image should show. |
| reference_images | array | – | HTTPS or data: URLs to edit or take guidance from. |
| size | string | – | Pixel size as "WxH", e.g. "1024x1024". |
| tier | string | – | Resolution tier. Pricing is per tier — set it explicitly. |
No output schema declared.
No examples provided.
generate_video Generate a video ~200
Generate a video with Veo 3.1, Grok Imagine or Omni Flash. Generation usually takes 1-5 minutes, longer than a tool call can wait — if it is still running when the wait budget runs out, this returns a task id to check later with check_job. Supports text-to-video and image-to-video (pass reference_images).
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | – | Which video model to use. |
| prompt | string | yes | What the video should show. |
| reference_images | array | – | HTTPS or data: URLs to guide generation (image-to-video). |
| seconds | integer | – | Clip length in seconds (default 4). |
| size | string | – | Pixel size as "WxH", e.g. "1280x720". Aspect ratio is inferred from it. |
| tier | string | – | Resolution tier. Worth setting: pricing is per tier, and a size matching no tier falls back to the model's base rate. |
No output schema declared.
No examples provided.
list_models List available models ~26
List the video and image models this server can generate with, and what each is for.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
How do I install the io.github.gaoruitech/genrelay-mcp server?
io.github.gaoruitech/genrelay-mcp runs locally as an npm package, launched with npx -y genrelay-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 · genrelay-mcp
claude mcp add gaoruitech-genrelay-mcp -- npx -y genrelay-mcp
What is the io.github.gaoruitech/genrelay-mcp server?
io.github.gaoruitech/genrelay-mcp is listed in the public MCP registry as io.github.gaoruitech/genrelay-mcp. Generate video and images (Veo 3.1, Grok Imagine, Nano Banana, GPT Image 2) via the GenRelay API. This page covers its npm package (genrelay-mcp).
Is the io.github.gaoruitech/genrelay-mcp server safe to use?
io.github.gaoruitech/genrelay-mcp scores 69 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 23 October 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 io.github.gaoruitech/genrelay-mcp server expose?
io.github.gaoruitech/genrelay-mcp exposes 4 tools: generate_video, generate_image, check_job, list_models. Their descriptions and schemas cost roughly 416 tokens of context every time the server is loaded.
Is the io.github.gaoruitech/genrelay-mcp server still maintained?
io.github.gaoruitech/genrelay-mcp is still listed as active in the MCP registry. We last reached this channel on 23 October 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 io.github.gaoruitech/genrelay-mcp server under?
io.github.gaoruitech/genrelay-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.