ai.wavespeed/mcp
NPM · @WAVESPEED/MCP · SCANNED SEP 20
Run any model on the live WaveSpeed catalog: image, video, audio, 3D.
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 97 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to WaveSpeedAI/mcp-server). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 25 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability81
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 575 tokens (~82/item across 7 items; 7 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management83
- Stability observed for 25 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 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 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.wavespeed/mcp server?
ai.wavespeed/mcp runs locally as an npm package, launched with npx -y @wavespeed/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 · @wavespeed/mcp
claude mcp add ai-wavespeed-mcp -- npx -y @wavespeed/mcp
{
"mcpServers": {
"ai-wavespeed-mcp": {
"command": "npx",
"args": [
"-y",
"@wavespeed/mcp"
]
}
}
} {
"servers": {
"ai-wavespeed-mcp": {
"command": "npx",
"args": [
"-y",
"@wavespeed/mcp"
]
}
}
} codex mcp add ai-wavespeed-mcp -- npx -y @wavespeed/mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ai-wavespeed-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"@wavespeed/mcp"
],
"enabled": true
}
}
} openclaw mcp add ai-wavespeed-mcp --command npx --arg -y --arg @wavespeed/mcp
mcp_servers:
ai-wavespeed-mcp:
command: "npx"
args: ["-y", "@wavespeed/mcp"] {
"McpServers": {
"ai-wavespeed-mcp": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@wavespeed/mcp"
]
}
}
} assistant mcp add ai-wavespeed-mcp -t stdio -c npx -a -y @wavespeed/mcp
{
"mcpServers": {
"ai-wavespeed-mcp": {
"command": "npx",
"args": [
"-y",
"@wavespeed/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.
- 20 Sept 26 −2
- Stability: pass → 0.83 functional
- 18 Sept 26 0
- Stability: 0.97 → pass security
- 17 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.
- 10 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.
- 8 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.
- 6 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.
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 20 Sept 2026 · Analysed npm/@wavespeed/mcp@1.0.7
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | WaveSpeedAI/mcp-server |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/WaveSpeedAI/mcp-server/.github/workflows/npm-publish.yml@refs/heads/main |
| Rekor log index | 2596668210 |
| Predicate type | https://slsa.dev/provenance/v1 |
| Subject digest | sha512:84ba4a72c6655424b205b681ed44cbbec33d17883fd49cddb62cd00e785ad1e01fdd302d93144b1e912a46e337c6f2308953b828d4f7a993cf958d335 |
Background: How many MCP packages publish verified provenance →
Dependencies 97 packages
| Packages resolved | 97 |
|---|---|
| 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 →
get_balance ~16
Show the WaveSpeed account credit balance.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_model_schema ~65
Get a model's real input schema (required fields, properties, defaults). Call this before run_model so inputs match what the model actually accepts.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | Model ID from list_models, e.g. bytedance/seedream-v5.0-pro |
No output schema declared.
No examples provided.
get_prediction ~47
Fetch the status and outputs of a past or in-flight prediction by id — use to recover a run that hit the wait limit.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Prediction id returned by run_model |
No output schema declared.
No examples provided.
get_price ~67
Estimate the cost of a run before executing it (no charge). Provide the same input you would pass to run_model — pricing often depends on inputs like duration or resolution.
| Name | Type | Req | Description |
|---|---|---|---|
| input | object | – | Inputs the quote should account for |
| model | string | yes | Model ID from list_models |
No output schema declared.
No examples provided.
list_models ~109
Search the live WaveSpeed model catalog (image, video, audio, 3D). Returns model IDs usable with run_model. Do not invent model IDs — always pick one returned by this tool.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Max results |
| query | string | – | Free-text filter on id/name/description |
| refresh | boolean | – | Bypass the 1h catalog cache |
| type | string | – | Filter by modality type, e.g. text-to-image, image-to-video |
No output schema declared.
No examples provided.
run_model ~134
Run any WaveSpeed model. input keys come from get_model_schema. Local files: pass "@./path" string values — they are uploaded and replaced with hosted URLs (bare paths are NOT uploaded). Returns output URLs. If the wait limit is hit, the task keeps running; recover it with get_prediction.
| Name | Type | Req | Description |
|---|---|---|---|
| input | object | yes | Model inputs per its schema (e.g. {"prompt": "...", "aspect_ratio": "16:9"}) |
| model | string | yes | Model ID from list_models |
| wait_seconds | integer | – | Max seconds to wait; 0 = submit only and return the prediction id |
No output schema declared.
No examples provided.
upload_file ~56
Upload a local file to WaveSpeed and get its hosted URL (identical bytes reuse the same upload for 24h). Usually unnecessary — run_model handles "@./path" inputs itself.
| Name | Type | Req | Description |
|---|---|---|---|
| path | string | yes | Local file path |
No output schema declared.
No examples provided.
What is the ai.wavespeed/mcp server?
ai.wavespeed/mcp is listed in the public MCP registry as ai.wavespeed/mcp. Run any model on the live WaveSpeed catalog: image, video, audio, 3D. This page covers its npm package (@wavespeed/mcp).
Is the ai.wavespeed/mcp server safe to use?
ai.wavespeed/mcp scores 93 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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.wavespeed/mcp server expose?
ai.wavespeed/mcp exposes 7 tools: list_models, get_model_schema, run_model, get_price, get_balance, and 2 more. Their descriptions and schemas cost roughly 494 tokens of context every time the server is loaded.
Is the ai.wavespeed/mcp server still maintained?
ai.wavespeed/mcp is still listed as active in the MCP registry. We last reached this channel on 20 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.wavespeed/mcp server under?
ai.wavespeed/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.