Clipia MCP
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Alternatives to Clipia MCP
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Related Servers
- AlicenseAqualityCmaintenanceMCP server for AI-powered image, audio, and video generation, enabling media creation directly from Claude, Cursor, and other MCP clients.1143 npmMIT

arcframe-mcpofficial
AlicenseNot gradedqualityDmaintenanceGenerate videos, images, audio, and 3D models from any MCP-compatible AI agent — Claude, Cursor, ChatGPT, and more.MIT- AlicenseAqualityCmaintenanceEnables users to search, quote, and generate AI image, video, and audio models, track jobs, and check account balances through Claude, ChatGPT, Cursor, or any MCP client.9MIT
- AlicenseNot gradedqualityDmaintenanceGenerate AI images and videos from Claude, Cursor or any MCP client: 48+ models on one account (Flux 2, Nano Banana 2, Seedream 5, Kling V3, Seedance 2.5, Veo 3.1), with the exact cost in credits returned on every call.1MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI clients like Claude and ChatGPT to generate images and videos, animate images, create lip-synced videos, list TTS voices, and manage media via remote MCP tools.-
- AlicenseNot gradedqualityBmaintenanceConnects MCP clients such as Claude Desktop and Cursor to generative AI APIs for creating cinematic videos, concept images, and music soundtracks, with automatic asset downloads and session authentication.1MIT
TDQS
Scored across 15 tools
Most tools have clearly distinct purposes (e.g., generate_audio, generate_image, generate_video). However, app_get_generation and get_generation overlap significantly, and wait_generation adds a third polling tool, causing potential confusion.
The majority follow a verb_noun pattern (generate_*, get_*, list_models, search_templates). The only inconsistency is app_get_generation, which uses an unnecessary prefix and deviates from the standard naming style.
With 15 tools, the server covers a broad range of media generation tasks (audio, image, video, music, presentation, chat) and supporting utilities (balance, model info, templates). This count is well-scoped for its purpose.
Core generation and retrieval workflows are covered, but missing tools for listing or deleting generations and updating existing content (e.g., presentations) create minor gaps that agents may need to work around.