WaveSpeed MCP Server
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Alternatives to WaveSpeed MCP Server
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Related Servers
- FlicenseAqualityDmaintenanceAn MCP server that provides a standardized interface for accessing WaveSpeed AI's image and video generation capabilities, including text-to-image, image-to-image, inpainting, and dynamic video generation.3-
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone and design voices, and create related media outputs.549 npmMIT
- AlicenseNot gradedqualityDmaintenanceRemote MCP server that integrates WaveSpeed's image and video generation into Claude, supporting text-to-image, image editing, video generation, and job status polling via custom connector.ISC
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone and design voices, and dynamically configure API interactions.549 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone voices, and design custom voices through integrated AI APIs, with configurable output modes and local or cloud transports.549 npmMIT
- AlicenseAqualityAmaintenanceEnables video and image generation from any MCP client, with support for models like Veo 3.1, Grok Imagine, and Nano Banana, including text-to-video, image-to-video, image generation and editing.465 npmMIT
TDQS
Scored across 7 tools
Each tool has a clear purpose: model discovery, schema, execution, pricing, balance, upload, and status. There is slight overlap between run_model and upload_file since run_model can handle uploads, but descriptions clarify when upload_file is needed.
All tool names follow a consistent verb_noun pattern with clear verbs (list, get, run, get, get, upload, get). No mixed conventions or vague naming.
With 7 tools, the server covers the essential workflow for model execution and account management without unnecessary bloat. Each tool serves a distinct need in the lifecycle.
The tool set covers model discovery, schema retrieval, execution, pricing, balance, file upload, and result retrieval. A minor gap is the absence of a cancel/delete prediction tool, but the core workflow is well covered.