ai.saymaker/saymaker-mcp
NPM · SAYMAKER-MCP · SCANNED SEP 25
Generate and edit AI images and video on SayMaker: Veo 3.1, Kling 3.0, Seedance 2.0, Nano Banana 2.
Available components
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
- 31 of 96 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 Usability74
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 850 tokens (~141/item across 6 items; 6 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 Management27
- Stability observed for 8 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 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 6 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
How do I install the ai.saymaker/saymaker-mcp server?
ai.saymaker/saymaker-mcp runs locally as an npm package, launched with npx -y saymaker-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 · saymaker-mcp
claude mcp add ai-saymaker-saymaker-mcp -- npx -y saymaker-mcp
{
"mcpServers": {
"ai-saymaker-saymaker-mcp": {
"command": "npx",
"args": [
"-y",
"saymaker-mcp"
]
}
}
} {
"servers": {
"ai-saymaker-saymaker-mcp": {
"command": "npx",
"args": [
"-y",
"saymaker-mcp"
]
}
}
} codex mcp add ai-saymaker-saymaker-mcp -- npx -y saymaker-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ai-saymaker-saymaker-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"saymaker-mcp"
],
"enabled": true
}
}
} openclaw mcp add ai-saymaker-saymaker-mcp --command npx --arg -y --arg saymaker-mcp
mcp_servers:
ai-saymaker-saymaker-mcp:
command: "npx"
args: ["-y", "saymaker-mcp"] {
"McpServers": {
"ai-saymaker-saymaker-mcp": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"saymaker-mcp"
]
}
}
} assistant mcp add ai-saymaker-saymaker-mcp -t stdio -c npx -a -y saymaker-mcp
{
"mcpServers": {
"ai-saymaker-saymaker-mcp": {
"command": "npx",
"args": [
"-y",
"saymaker-mcp"
]
}
}
} 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.
- 25 Sept 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 24 Sept 26 +3
- Stability: unverified → 0.23 ▲ functional
- 17 Sept 26 70
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 25 Sept 2026 · Analysed npm/saymaker-mcp@0.1.0
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 96 packages
| Packages resolved | 96 |
|---|---|
| Stale | 31 |
| 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 an image ~124
Edit a photo you already have: change one thing and keep the rest. Pass the image URL and describe ONLY what should change, plus what must stay ("keep the face and background as they are") — that sentence is what decides whether the edit holds.
| Name | Type | Req | Description |
|---|---|---|---|
| image_url | string | yes | Public URL of the image to edit. |
| model | string | – | Model id from list_models. Defaults to Nano Banana 2. |
| prompt | string | yes | The change to make, and what must stay unchanged. |
| wait | boolean | – | Wait for the result (default true). |
No output schema declared.
No examples provided.
generate_image Generate an image ~184
Generate an image from a text prompt on saymaker.ai and return its URL. Runs on your SayMaker credits and reports the exact credit cost. Name subject, framing, light and material in the prompt — vague prompts cost the same as precise ones.
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | e.g. '1:1', '16:9', '9:16', '4:3', '3:4'. Default '1:1'. |
| model | string | – | Model id from list_models. Defaults to Nano Banana 2. |
| prompt | string | yes | What the image should show. |
| resolution | string | – | Output resolution where the model offers one: '1K', '2K' or '4K'. Bigger costs more credits. |
| wait | boolean | – | Wait for the result (default true). False returns a task id to poll. |
No output schema declared.
No examples provided.
generate_video Generate a video ~306
Generate a video clip from a prompt, or animate a still by passing image_url. Runs Veo 3.1, Kling 3.0, Seedance 2.0 and the rest of the SayMaker shelf on your own credits; many of them return sound in the same pass. Needs an API key. On a free account, pass model minimax-h3-fast (480p or 768p, 4 to 15 seconds).
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | e.g. '16:9', '9:16'. Default '16:9'. |
| duration | number | – | Clip length in seconds where the model offers a choice, e.g. 4, 6, 8, 10 (MiniMax H3 Fast also 15). |
| image_url | string | – | Optional first frame — makes this image-to-video. |
| model | string | – | Model id from list_models. Defaults to Seedance 2.0. |
| prompt | string | yes | The shot: what happens, where, how the camera moves. |
| resolution | string | – | e.g. '480p', '720p', '1080p', '4k' ('480p' or '768p' on MiniMax H3 Fast). |
| sound | boolean | – | Ask for sound where the model writes it in the same pass (default true). |
| wait | boolean | – | Wait for the result (default false — video takes minutes). |
No output schema declared.
No examples provided.
get_task Check a SayMaker run ~61
Poll a run submitted earlier and return its status and media URL when it is ready.
| Name | Type | Req | Description |
|---|---|---|---|
| task_id | string | yes | The task id returned by generate_image, edit_image or generate_video. |
| wait | boolean | – | Keep polling until it finishes (default false). |
No output schema declared.
No examples provided.
list_models List SayMaker models ~106
The image and video models SayMaker runs (Veo 3.1, Kling 3.0, Seedance 2.0, Nano Banana 2, GPT Image 2.5, Seedream 5.0, Qwen Image 3, Wan 3.0 and more), with the input each one takes. Use the returned id with generate_image, edit_image or generate_video.
| Name | Type | Req | Description |
|---|---|---|---|
| media | string | – | Only image models, or only video models. |
No output schema declared.
No examples provided.
open_in_saymaker Open SayMaker in a browser ~69
The URL to carry on in the browser: the agent that plans multi-step jobs from one sentence, a specific model page, or the image or video maker.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | – | Model id, when target is 'model'. |
| target | string | – | Defaults to 'agent'. |
No output schema declared.
No examples provided.
What is the ai.saymaker/saymaker-mcp server?
ai.saymaker/saymaker-mcp is listed in the public MCP registry as ai.saymaker/saymaker-mcp. Generate and edit AI images and video on SayMaker: Veo 3.1, Kling 3.0, Seedance 2.0, Nano Banana 2. This page covers its npm package (saymaker-mcp).
Is the ai.saymaker/saymaker-mcp server safe to use?
ai.saymaker/saymaker-mcp scores 74 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 25 September 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 ai.saymaker/saymaker-mcp server expose?
ai.saymaker/saymaker-mcp exposes 6 tools: list_models, generate_image, edit_image, generate_video, get_task, open_in_saymaker. Their descriptions and schemas cost roughly 850 tokens of context every time the server is loaded.
Is the ai.saymaker/saymaker-mcp server still maintained?
ai.saymaker/saymaker-mcp is still listed as active in the MCP registry. We last reached this channel on 25 September 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 ai.saymaker/saymaker-mcp server under?
ai.saymaker/saymaker-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.