Clipia vs VideoGen MCP — MCP Server Comparison | AllMCPs
Clipia vs VideoGen MCP
A side-by-side look at the Clipia and VideoGen MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Clipia for multimedia process work over a hosted endpoint; choose VideoGen MCP for multimedia process over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Clipia when
You need dedicated capabilities in the Multimedia Process domain.
You prefer a remote HTTP/SSE transport.
You have the keys it needs: CLIPIA_API_KEY.
You want tools like generate_image, generate_video, generate_audio.
You need dedicated capabilities in the Multimedia Process domain.
You prefer a remote HTTP/SSE transport.
Its auth model fits you: API key required.
You have the keys it needs: VIDEOGEN_API_KEY, VIDEOGEN_BASE_URL, VIDEOGEN_OAUTH_ISSUER, VIDEOGEN_OAUTH_SUPABASE_PROJECT_URL, VIDEOGEN_OPENAI_APPS_CHALLENGE_TOKEN.
You want tools like get_getting_started_guidance, get_async_tasks_guidance, get_workflows_guidance.
generate_imageGenerate image(s) from a text prompt, optionally with reference images (editing / image-to-image). Waits briefly and usually returns the finished image inline (URL + small preview). Cost in credits is returned.
generate_videoStart 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 — renders take 1–10 min, poll with `wait_generation`.
generate_audioGenerate speech from text with a selected voice and language. Returns an MP3 when complete.
generate_musicGenerate background music or a soundtrack from a description of mood, genre and tempo.
wait_generationWait for a generation to finish (long-poll up to `wait_seconds`, then returns current status). Call repeatedly until `COMPLETED`, `FAILED` or `CANCELED`. Returns output URLs (and an inline preview) when done.
get_generationGet 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.
list_modelsList available AI models with type (text/image/video/audio), capabilities and pricing in credits. Text models expose per-1K input/output rates; generation models expose a base price. Filter by `type` / `search`.
get_modelGet model details and pricing: `input_schema` for generation models; context limits and per-1K input/output rates for text models.
get_balanceGet the credit balance of the connected Clipia account and 30-day usage of the current API key.
search_templatesSearch 3500+ curated prompt templates (hybrid text+semantic search, Russian or English query). Each result has a ready-to-use prompt and a recommended model.
chat
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.
Clipia is categorized under Multimedia Process and uses a remote HTTP/SSE transport. VideoGen MCP belongs to Multimedia Process and uses a remote HTTP/SSE transport. Pick Clipia for multimedia process work and VideoGen MCP 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.
Clipia has no declared pricing — check the project's own site. VideoGen MCP 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 clipia and videogen-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Clipia has a quality signal of 48/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. VideoGen MCP has 84/100 (Excellent) with 9 views, 0 installs and 4 GitHub stars.
get_getting_started_guidanceHow to authenticate, verify with get_me, introduce VideoGen with workflow example prompts, choose workflows vs media tools, and follow VideoGen id conventions. Call when connecting, onboarding, the user asks what VideoGen can do, or how to set up the API or MCP. Equivalent to reading the `guidance://getting-started` MCP resource — provided as a tool for clients that don't read resources directly.
get_async_tasks_guidanceHow to handle async workflows, tool executions, and exports: statuses, hosted vs local wait caps, polling with get_* tools, and when webhooks apply outside MCP. Call before polling or when a start tool returns a still-running snapshot. Equivalent to reading the `guidance://async-tasks` MCP resource — provided as a tool for clients that don't read resources directly.
get_workflows_guidanceCanonical run → remix → export flow and when to use each workflow tool. Prefer script_to_video for longer narrated / informational videos; keep storyboard_to_video to ≤3 scenes unless the user asks for more. Call before starting a full video project. Equivalent to reading the `guidance://workflows` MCP resource — provided as a tool for clients that don't read resources directly.
get_tools_vs_workflows_guidanceWhen to use standalone media tools (automatic model routing for a single asset) versus workflows (full editable professional video). Call when choosing between generate_* tools and workflow tools. Equivalent to reading the `guidance://tools-vs-workflows` MCP resource — provided as a tool for clients that don't read resources directly.
script_to_videoPreferred for narrated / informational / explainer videos from text, especially ~1 minute or longer. Turn a verbatim narration script into an editable video with AI-generated visuals and captions. Prefer this over storyboard_to_video unless the user wants a short shot-directed storyboard. For avatar narration, pass actorEntityId and optionally set avatarQuality.
voiceover_to_videoBuild an editable video with AI-generated visuals from an uploaded voiceover audio file.
slideshow_to_videoBuild an editable narrated video from an uploaded PDF or slideshow file. Upload the file first with upload_file, then pass its fileId. For avatar narration, pass actorEntityId and optionally set avatarQuality.
storyboard_to_videoBuild an editable video from an ordered storyboard (frame-by-frame shot list). Every scene needs a visual prompt and may include spoken words. To show a saved product, actor, or visual style, pass productEntityIds, actorEntityIds, or visualStyleEntityId on each scene that should use that entity's reference images (create_entity and add_entity_reference first). A prompt alone does not attach those images. Much more credit-heavy than script_to_video: use at most 3 scenes unless the user explicitly asks for more. Prefer script_to_video for ~1 minute+ narrated / informational videos. If the user has not named a workflow, ask with pros/cons before calling this.
prompt_to_video_clipGenerate one short AI video clip from a prompt inside an editable project.
list_workflow_runsList workflow runs, most recent first.
get_workflow_runFetch the current status and result of a single workflow run.
cancel_workflow_runRequest cancellation of an in-progress workflow run.