A side-by-side look at the MCP Video Analyzer and MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Video Analyzer for multimedia process work as a local process; choose MCP Server for multimedia process as a local process. You can also run both side by side in one mcpServers block.
analyze_video, analyze_videos, get_transcript.list_models, get_model_schema, run_model.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 69/100 · Great | 65/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 95 | 34 |
| Directory activity | 19 views 3 installs 3 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 8 | 11 |
| Full listing | View MCP Video Analyzer | View MCP Server |
analyze_videoFull analysis: transcript + key frames + OCR + timeline + metadataanalyze_videosBatch version, one structured result per source (resumable)get_transcriptTranscript only (native captions or Whisper fallback)get_metadataMetadata + comments + chapters, no downloadget_framesKey frames only (scene-change or dense 1 fps)analyze_momentDeep-dive on a time range (burst frames + transcript + OCR)get_frame_atSingle frame at a timestampget_frame_burstN frames across a narrow window (motion/animation)list_modelsSearch 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.get_model_schemaGet a model's real input schema (required fields, properties, defaults). Call this before run_model so inputs match what the model actually accepts.run_modelRun any WaveSpeed model. input keys come from get_model_schema; unknown keys are rejected before submission. Local files: pass "@./path" string values — they are uploaded and replaced with hosted URLs (bare paths are NOT uploaded). Returns the prediction id right away (done=false); call get_prediction with that id and wait_seconds until done=true to get the output URLs. The task keeps running on the server. Pass wait_seconds here to wait for a quick model in the same call.get_priceEstimate 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, and a quote made without them can be lower than the real charge.get_balanceShow the WaveSpeed account credit balance, with the link to top up.list_predictionsList past predictions (run history), newest window first. Defaults to the last 24 hours; pass since/until (ISO or YYYY-MM-DD) for other ranges. Use get_prediction with an id for one task in full.list_billingsList itemized charges and refunds (billing records). Requires an API key with Billing access.get_usageUsage statistics: spend, request counts, daily series and per-model breakdown. Defaults to the last 7 days. Requires an API key with Billing access.delete_predictionsDelete finished predictions from this account's run history, up to 100 at a time. They stop appearing in list_predictions and get_prediction, and this tool cannot bring them back. Runs that are still going are left alone, and only the key's own organization's records are deleted. Ask the user first, and pass confirm: true only after they agreed to delete these ids.upload_fileUpload 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.get_predictionFetch the status and outputs of a past or in-flight prediction by id — use to pick up a run that returned done=false. Pass wait_seconds to keep waiting for it to finish.Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
{
"mcpServers": {
"guimatheus92-mcp-video-analyzer": {
"command": "npx",
"args": [
"-y",
"mcp-video-analyzer@latest"
]
}
}
}
{
"mcpServers": {
"mcp-215": {
"command": "npx",
"args": [
"-y",
"@wavespeed/mcp"
]
}
}
}