Clipia MCP のリモート MCP サーバーとは何ですか?
Clipia MCP のリモート MCP サーバーは、https://mcp.clipia.ai/mcp にホストされた Model Context Protocol エンドポイントです。AI アシスタントはローカルに何もインストール・実行することなく接続できます。

@Clipia.ai
基本情報
Hosted MCP server for generating AI images, videos, speech, music, and presentations from agents and IDEs. Supports OAuth and Clipia API keys.
https://mcp.clipia.ai/mcpclaude mcp add clipia-mcp --transport http https://mcp.clipia.ai/mcpGenerate image(s) from a text prompt, optionally with reference images (editing / image-to-image). Waits briefly for completion and usually returns the finished image inline (URL + small preview). Cost in credits is returned.
Start a video generation from a text prompt (text-to-video) or from a start image (image-to-video, pass image_url). Returns request_id and cost in credits immediately — video renders take 1–10 minutes, poll with wait_generation.
Generate speech from text (text-to-speech): pick a voice and language, get an mp3 back. Returns request_id and cost in credits immediately — narration is quick, poll with wait_generation until COMPLETED, then output.audio.url is the mp3. Pass the resulting request_id as voiceover_request_id in compose_video to narrate a multi-scene video, or use the mp3 on its own.
Generate background music / a soundtrack from a text description: instrumental (no vocals) by default — ideal to play under narration. Returns request_id and cost in credits immediately; music takes ~1–3 min, so poll with wait_generation until COMPLETED, then output.audio.url is the mp3. Pass the resulting request_id as audio_request_id in compose_video to score a multi-scene video, or use the mp3 on its own. Describe mood/genre/tempo/instruments in the prompt (English works best).
Stitch 2–20 finished video scenes into ONE final clip server-side (scenes are normalized to a common frame/fps, concatenated, optional soundtrack replaces scene audio). Pass request_id of your COMPLETED video generations (or media.clipia.ai URLs). Returns request_id (cmp_*) — poll with wait_generation until COMPLETED, then output.video.url is the final mp4. Typical full-video flow: generate_scenario → generate_video per scene → compose_video.
Wait for a generation to finish (long-poll up to wait_seconds, then returns current status). Call repeatedly until status is COMPLETED, FAILED or CANCELED. Returns output URLs (and an inline image preview) when done.
Get the current status/result of a generation without waiting. When COMPLETED, output.images[].url is the inline webp preview and output.images[].original_url is the full-quality PNG/JPG.
Internal: status poll used by the Clipia generation viewer card. Prefer get_generation.
List available AI models with type (text/image/video/audio), capabilities and pricing in credits. Text models are priced per 1K input/output tokens; generation models show a base price. Use before chat or generation when the user asks for a specific model or wants to compare options.
Get model details and pricing. Generation models include input_schema and a base credit price; text models include context limits and per-1K input/output credit rates.
Get the credit balance of the connected Clipia account and 30-day usage of the current API key.
Search 3500+ curated prompt templates (hybrid text+semantic search, Russian or English query). Each result has a ready-to-use prompt and a recommended model — pass them to generate_image/generate_video.
Chat with a text LLM and get reply text, token usage and credit cost. Supports strict JSON Schema output and an idempotency key for safe transport retries. Pass either a single prompt or a full messages array. Charged in credits from the connected account.
Plan a multi-scene video from a brief: an LLM director returns a structured scenario — per-scene English video prompts with durations, plus a soundtrack prompt. Feed each scene prompt to generate_video, then stitch the finished clips with compose_video. Charged in credits like chat (LLM usage).
Generate a BRAND-NEW slide presentation (editable PPTX + PDF + PNG previews) from a DeckSpec you compose. To change a deck that already exists (slide text, title, theme, add/remove/reorder slides) use edit_presentation instead — it reuses the illustrations already generated instead of billing them again. Returns request_id (prs_*) — poll with wait_generation until COMPLETED, then output has pptx_url, pdf_url, preview_urls[]. Write the full spec: title, language (ru/en), theme, optional brand, and 3–20 slides. ALWAYS pick the theme that fits the SUBJECT of the deck; the deck belongs to the user, so never default to the Clipia brand palette unless the deck is about Clipia itself. Set brand.name/brand.website only if the user names their company — otherwise slides stay unbranded. Each slide has a "layout": cover, section, bullets, two-col, image-full, quote, stats, or closing. For illustrations set image.prompt (English) — generated by our image models and billed as credits; skip images for text-only slides. Costs credits (render fee + illustrations).
Edit an EXISTING presentation instead of regenerating it: change slide text, title, theme, add/remove/reorder slides. The deck is rebuilt from its saved spec and the illustrations that were already generated — those are reused for free, so a text fix costs only the small render fee. Use it for ANY change request about a deck that already exists; generate_presentation is only for a brand-new deck. All "index" values are 0-based positions in the CURRENT deck. An illustration is redrawn (and billed) ONLY if you change that slide's image.prompt, list it in regenerate_images, or set regenerate_all_images=true. Returns request_id (prs_*) — poll with wait_generation until COMPLETED.
Clipia MCP connects AI agents and IDEs to hosted image, video, speech, and music generation tools.
https://mcp.clipia.ai/mcpClipia MCP のリモート MCP サーバーは、https://mcp.clipia.ai/mcp にホストされた Model Context Protocol エンドポイントです。AI アシスタントはローカルに何もインストール・実行することなく接続できます。
エンドポイント https://mcp.clipia.ai/mcp を Claude Code、Cursor、VS Code など任意の MCP 対応クライアントに追加してください。このページのセットアップ手順で各クライアントを一度に設定できます。
はい。Clipia MCP は OAuth を使用します。初回接続時に MCP クライアントがブラウザを開いてサインイン・認可を行い、以降はその認証情報を再利用します。
Clipia MCP は Streamable HTTP エンドポイントを公開しており、これはリモート MCP サーバーで広く使われ、主要な MCP クライアントがサポートするトランスポートです。
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