OpusClip vs MCP Server

A side-by-side look at the OpusClip and MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

OpusClip logoOpusClipMultimedia Process · Local subprocess (stdio)Turn long videos into AI-curated short clips: caption, reframe, thumbnail, schedule, and publish.44FairAuth: not declaredMCP Server logoMCP ServerMultimedia Process · Local subprocess (stdio)Run any model on the live WaveSpeed catalog: image, video, audio, 3D.67GreatAuth: api key required

Verdict: choose OpusClip 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.

Which MCP server should you choose?

OpusClip logoChoose OpusClip when

  • You need dedicated capabilities in the Multimedia Process domain.
  • You prefer a local stdio subprocess transport.
Explore OpusClip

MCP Server logoChoose MCP Server when

  • You need dedicated capabilities in the Multimedia Process domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: WAVESPEED_API_KEY.
  • You want tools like list_models, get_model_schema, run_model.
Explore MCP Server

Feature & specification comparison

Rows where the two servers differ are marked.

SpecOpusClip logoOpusClipMCP Server logoMCP Server
CategoryMultimedia ProcessMultimedia Process
Quality signal44/100 · Fair67/100 · Great
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredAPI key required
PricingNot declaredBYOK (pay the provider)
Required env varsNone listedWAVESPEED_API_KEY
Verified ownerCommunity listingCommunity listing
GitHub stars834
Directory activity 1 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
ToolsNot listed11

Tools & capabilities

OpusClip tools

No tool names declared yet. Check the project README from the listing page.

MCP Server tools 11

  • 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.

Ready-to-paste client configs

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.

OpusClip

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "opusclip": {
      "command": "npx",
      "args": [
        "-y",
        "@opusclip/mcp"
      ]
    }
  }
}

MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "mcp-215": {
      "command": "npx",
      "args": [
        "-y",
        "fetch"
      ],
      "env": {
        "WAVESPEED_API_KEY": "YOUR_WAVESPEED_API_KEY_HERE"
      }
    }
  }
}

Frequently asked questions

OpusClip is categorized under Multimedia Process and uses a local stdio subprocess. MCP Server belongs to Multimedia Process and uses a local stdio subprocess. Pick OpusClip for multimedia process work and MCP Server for multimedia process.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

OpusClip has no declared pricing — check the project's own site. MCP Server is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add opusclip and mcp-215 as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, OpusClip has a quality signal of 44/100 (Fair) with 1 views, 0 installs and 8 GitHub stars. MCP Server has 67/100 (Great) with 1 views, 0 installs and 34 GitHub stars.