Prompt To Asset vs Runapi AI MCP
A side-by-side look at the Prompt To Asset and Runapi AI MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Prompt To Asset for multimedia process work as a local process; choose Runapi AI MCP 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?
Choose Prompt To Asset when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
asset_capabilities, asset_enhance_prompt, asset_generate_logo.
Choose Runapi AI MCP 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 want tools like
list_models, get_model_info, list_actions.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 68/100 · Great | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | API key required |
| Pricing | Free | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 24 | 56 |
| Directory activity | 6 views 2 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | 24 | 9 |
| Full listing | View Prompt To Asset | View Runapi AI MCP |
Tools & capabilities
Prompt To Asset tools 24
asset_capabilitiesReport which of the three execution modes this server can run RIGHT NOW given the current env: inline_svg (zero key — hosting LLM authors the SVG), external_prompt_only (zero key — paste prompt into Ideogram/Nano Banana/Midjourney/Recraft/Flux UIs, then asset_ingest_external), api (requires provider key). Read-only; no network. Call before offering the user options.asset_enhance_promptClassify an asset brief, route to the right model, rewrite the prompt in that model's dialect, and report which execution modes are available (inline_svg / external_prompt_only / api). Returns an AssetSpec JSON including modes_available, optional svg_brief (for inline_svg), optional paste_targets (for external_prompt_only), and — when the brief leaves a material ambiguity — a `clarifying_questions[]` array the host LLM should surface via AskUserQuestion (or the equivalent) BEFORE calling a generator. Each entry has {id, header, question, options[], required, why}. Read-only; idempotent; no network.asset_generate_logoGenerate a logo. Three modes: inline_svg (Claude emits SVG — zero key), external_prompt_only (returns prompt + paste targets — zero key), api (server runs the provider pipeline — requires key). Omit mode to auto-select. Returns an AssetBundle / InlineSvgPlan / ExternalPromptPlan discriminated by the mode field.asset_generate_app_iconGenerate an app icon (iOS AppIconSet, Android adaptive, PWA maskable, visionOS 1024² master + placeholder parallax layers). Three modes (inline_svg / external_prompt_only / api). In non-api modes only the master mark is produced; call asset_ingest_external afterwards to run the platform fan-out. Set ios_18_appearances=true to also emit dark and tinted 1024² variants for iOS 18 tintable icons.asset_generate_faviconGenerate a favicon bundle (favicon-{16,32,48}.png + icon.svg + icon-dark.svg + apple-touch + PWA 192/512/512-maskable + <link> snippet). Three modes — inline_svg is the best fit for simple glyph marks (legible at 16×16).asset_generate_og_imageRender a 1200×630 OG image via Satori template (deterministic typography, no diffusion). Default mode=api renders server-side without any API key. external_prompt_only is only meaningful when with_background_image is set. inline_svg is not supported (web-font loading + precise text layout beyond LLM reach).asset_generate_illustrationGenerate one or more brand-locked illustrations. Two modes (external_prompt_only / api); inline_svg is not supported — path budget too small for a composed scene. Injects brand bundle (palette, style_refs, LoRA, style_id) where supported.asset_generate_splash_screenGenerate a cross-platform splash-screen bundle from a brand mark. Two modes (external_prompt_only / api); inline_svg is not supported (splash screens are PNG bundles — generate a logo inline_svg first, then call this with existing_mark_svg). api mode composites the mark onto background_color and emits ios/LaunchScreen-2732.png, android/mipmap-*dpi/splash.png, android/themes-splash.xml, pwa/splash-1200.png, and a README describing how to wire each.asset_generate_heroGenerate marketing-hero / landing-page banner art. Two modes (external_prompt_only / api); inline_svg is not supported. Accepts aspect_ratio (16:9 / 21:9 / 3:2 / 2:1). Injects brand bundle where supported. Returns N variants if count>1.asset_remove_backgroundMatte an image to transparent background (BiRefNet / BRIA RMBG / U²-Net via remote endpoint; local white-chroma fallback). Returns RGBA PNG path.asset_vectorizeConvert a raster image to SVG. Tries in order: Recraft /vectorize (if PROMPT_TO_BUNDLE_RECRAFT_VECTORIZE_URL is set), vtracer on PATH, potrace on PATH, then a built-in posterize run-length fallback. Passes all output through SVGO when installed.asset_upscale_refineUpscale / refine an image, asset-type-aware. DAT2 for flat logos/icons, Real-ESRGAN/SUPIR for photoreal, img2img for diffusion polish. Lanczos fallback.- +12 more on the listing page
Runapi AI MCP tools 9
list_modelsList RunAPI models from the embedded catalog. Optional filters: modality, service, or action.get_model_infoGet supported endpoint, current runtime pricing, and input constraints for a RunAPI model slug. Add service and action when the model supports multiple endpoints.list_actionsList RunAPI endpoint names grouped by output modality.check_pricingReturn current runtime pricing for a RunAPI model/action pair.search_promptsSearch RunAPI prompt examples by modality, category, tags, text query, model, or featured status. Free, no API key required.check_balanceReturn the authenticated RunAPI account balance and spending metrics.create_taskRun a RunAPI operation with a caller-generated idempotency key. Asynchronous operations can optionally poll until completion.get_taskFetch the current status and latest payload for an existing RunAPI task.loginAuthenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.
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.
Prompt To Asset
{
"mcpServers": {
"mohamedabdallah-14-prompt-to-asset": {
"command": "npx",
"args": [
"-y",
"prompt-to-asset"
]
}
}
}
Runapi AI MCP
{
"mcpServers": {
"runapi-ai-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/mcp"
]
}
}
}
Frequently asked questions
Prompt To Asset is categorized under Multimedia Process and uses a local stdio subprocess. Runapi AI MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick Prompt To Asset for multimedia process work and Runapi AI 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.
Prompt To Asset is listed as free. Auth: no auth required. Runapi AI MCP is listed as free. 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 mohamedabdallah-14-prompt-to-asset and runapi-ai-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Prompt To Asset has a quality signal of 68/100 (Great) with 6 views, 2 installs and 24 GitHub stars. Runapi AI MCP has 68/100 (Great) with 5 views, 0 installs and 56 GitHub stars.