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nanoodle

by nanoodlecom · remote · local (npm) · no sign-in to list tools · v0.6.0 · published by GitHub user nanoodlecom

Your saved nanoodle workflow graphs as MCP tools — BYOK or pay per call in Nano (x402)

Changes · 10
CompareRegistry entry

11 tools: 10 change things and 1 only read.

Scanned Oct 21, 2026

No check matched anything in the tool definitions. No finding is not a safety guarantee. How the checks work.

claude mcp add --transport http nanoodle https://mcp.nanoodle.com/mcp

Tools

Open a tool for its reasons and full description. Descriptions are the publisher's own words, shown as they are.

11 tools

Changes things 10Claude Code: ask
  • character-spritesDescription → canonical character → separate cutout parts → local rig and animation baking.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Description → canonical character → separate cutout parts → local rig and animation baking. One text call + two image calls. The companion rig.mjs extracts transparent parts and bakes 32 frames: id… text:Character -> llm:Character designer -> image:Canonical character -> resize:Reference -> edit:Rig parts; returns image + image (muse-image/edit, 1:1) saved to disk (file paths in result). Runs on NanoGPT — $0.06 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed; last run $0.0221, ~86s. Example: Iron Verdict (https://nanoodle.com/examples/iron-verdict/). A playable fighting game built with character-sprites. This graph generates a character reference and parts sheet; the local skill bakes animated sprites, and a coding agent adds combat, gravity and game rules. Agent skill: https://github.com/nanoodlecom/noodle-skills/tree/main/skills/character-sprites
  • humanize-commentDraft + Context + Guidance → 5 writers (Qwen3.8 Novelist/friend, DeepSeek V4.1 Flash/forum, Gemma-4-12B Starry Ocean/peer, Qwen3.8 antislop/plain, Mercury 3/quick), each with a dif…No findings

    Why it is in this group

    • The name "humanize-comment" says "comment": a word for a change.
    Description, as the server wrote it
    Draft + Context + Guidance → 5 writers (Qwen3.8 Novelist/friend, DeepSeek V4.1 Flash/forum, Gemma-4-12B Starry Ocean/peer, Qwen3.8 antislop/plain, Mercury 3/quick), each with a different voice prom… text:Draft -> text:Context -> text:Guidance -> join:Judge: context+original -> join:Context+Guidance -> join:Writer input -> llm:Writer A (Qwen3.8-27B Novelist, voice: friend) -> llm:Writer B (DeepSeek V4.1 Flash 1017, voice: forum) -> llm:Writer C (Gemma-4-12B Starry Ocean, voice: peer) -> llm:Writer D (Qwen3.8-27B antislop, voice: plain) -> llm:Writer E (Mercury 3, voice: quick) -> join:Judge: +A -> join:Judge: +B -> join:Judge: +C -> join:Judge: +D -> join:Judge: +E -> llm:Decider (GLM-5.3); returns text. Runs on NanoGPT — $0.01 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed; last run $0.0021, ~34s.
  • idea-to-3d-modelIdea → concept art → 3D model.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Idea → concept art → 3D model. Write one object in plain words. An LLM turns it into a concept-art description (shape, parts, materials, colors). Join adds fixed render rules (one whole object, thr… text:Object idea -> text:3D-ready render rules -> llm:Concept description -> join:Concept prompt -> image:Concept art -> model3d:TRELLIS.2 → GLB; returns model3d (trellis-2/image-to-3d) saved to disk (file path in result). Runs on NanoGPT — $0.05 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed. Example: 3D sample (https://nanoodle.com/examples/gallery/#idea-to-3d-model). One line becomes a textured 3D model: a teal-and-cream wind-up toy submarine with a brass periscope, portholes, a wind-up key and a striped tail. GLM writes the concept, Muse paints it, and TRELLIS.2 turns that one picture into a GLB that holds up from every side. The viewer shades it flatter than the concept, and the thin key and propeller blades go soft at some angles.
  • mix-the-referencesMix four references into one picture.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Mix four references into one picture. Each reference is its own node: who (the character), what they wear, what they hold, and where they stand. FLUX.3 Klein Edit gets them in port order and the in… text:Who · character -> text:What they wear · outfit -> text:What they hold · prop -> text:Where · place -> text:Mix instruction (names each image) -> image:1 · Character -> image:2 · Outfit -> image:3 · Prop -> image:4 · Place -> edit:Mix · FLUX.3 Klein Edit; returns image (flux-3/klein/edit-image, 1024×1024) saved to disk (file path in result). Runs on NanoGPT — $0.08 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed. Example: Composite sample (https://nanoodle.com/examples/gallery/#mix-the-references). Four separate references become one picture: a paper-craft fox (image 1) wears a yellow knitted raincoat (image 2), holds one red paper lantern (image 3) and stands on a cardboard pier at dusk (image 4). FLUX.3 Klein Edit gets them in port order and the instruction names each image by number. Flaws in the saved run: the paper boats from the place reference mostly drop out and the coat comes out longer than its flat-lay reference.
  • neon-shrine-duelseed → GLM writes Anima still prompt → anima/text-to-image → GLM writes H3 Max motion prompt → minimax/h3-max i2v at 480p/5s.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    seed → GLM writes Anima still prompt → anima/text-to-image → GLM writes H3 Max motion prompt → minimax/h3-max i2v at 480p/5s. Change the seed; both LLMs rewrite prompts. ~$0.27 sampled. Hold both f… text:Fight seed -> llm:Still prompt -> llm:Motion prompt -> image:Fight still -> ivideo:Clash clip; returns video (h3-max) saved to disk (file path in result). Runs on NanoGPT — $0.63 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed; last run $0.2601, ~47s.
  • photo-to-videoCreate a first frame with Muse, then animate one small movement with MiniMax H3 Spicy at 480p for five seconds.No findings

    Why it is in this group

    • The description's first verb is "create": a word for a change.
    Description, as the server wrote it
    Create a first frame with Muse, then animate one small movement with MiniMax H3 Spicy at 480p for five seconds. Change the still and motion briefs together. Inspect object stability and motion; a s… text:Still brief -> text:Motion brief -> image:First frame -> ivideo:Animated clip; returns video (image-to-video-spicy) saved to disk (file path in result). Runs on NanoGPT — $0.51 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed; last run $0.21, ~1m 30s. Example: Reviewed sample (https://nanoodle.com/examples/gallery/#photo-to-video). A short tea-on-a-desk animation. Sampled frames retained the mug while steam moved. This thumbnail is one frame; the example does not establish a seamless loop.
  • singStart with a song idea and the bands you like.No findings

    Why it is in this group

    • The description's first verb is "start": a word for a change.
    Description, as the server wrote it
    Start with a song idea and the bands you like. Three text calls write lyrics, arrange them, and identify what would clash with that arrangement. The arrangement and avoid-list become one musical di… text:Song idea -> text:Preferred bands -> join:Idea + musical references -> llm:Write lyrics -> join:Brief + finished lyrics -> llm:Arrange the song -> llm:What would clash? -> join:Arrangement + avoid-list -> music:Sing; returns audio (music-3) saved to disk (file path in result). Runs on NanoGPT — $0.37 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed; last run $0.1502, ~2m 35s. Example: Audio sample (https://nanoodle.com/examples/gallery/#sing). A 170-second generated closing-credits song. Gemini 3.8 Flash reported clear gentle acoustic vocals and a chorus matching the supplied lyrics. This is model-assisted audio review, not human listening sign-off.
  • storyboard-relayMake a two-frame story through a handoff between models.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Make a two-frame story through a handoff between models. Muse establishes the opening. Nano Banana stages the next beat from that actual image. Gemini compares both frames; Muse Edit uses the draft… text:First scene -> text:Next beat -> text:Continuity rules -> image:Muse opens the story -> join:Opening brief + next beat -> resize:Frame 1 -> join:Next beat + continuity rules -> edit:Nano Banana stages the next beat -> llm:Draft continuity check -> resize:Draft frame 2 -> join:Story + observed repair notes -> edit:Muse repairs the continuity -> resize:Frame 2 -> llm:Continuity notes; returns image + image + image + text; media saved to disk (file paths in result). Runs on NanoGPT — $0.19 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed; last run $0.0652, ~2m 4s.
  • talking-avatarCreate a short spoken introduction with a fictional presenter.No findings

    Why it is in this group

    • The description's first verb is "create": a word for a change.
    Description, as the server wrote it
    Create a short spoken introduction with a fictional presenter. Muse makes the portrait, MiniMax Speech reads the script, and LongCat combines the image and audio into a speaking video at 480p. Keep… text:Presenter look -> text:Spoken script -> text:Delivery -> image:face -> tts -> lipsync; returns video (longcat-avatar-1.5) saved to disk (file path in result). Runs on NanoGPT — $0.66 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed. Example: Video sample (https://nanoodle.com/examples/gallery/#talking-avatar). A fictional presenter reads a short workshop introduction. Sampled frames preserve the presenter; check precise lip-sync timing in playback. Generation can take several minutes.
  • tiny-world-filmMuse builds a miniature.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Muse builds a miniature. Wan animates that exact image. Mirelo watches the resulting silent clip and adds foley. Three models pass actual media forward. Compare the silent and sounded takes. Defaul… text:World -> text:Motion -> image:Build the miniature -> ivideo:Silent take -> resize:First frame -> vedit:Film with foley; returns image + video (sfx1.6/video-to-video) saved to disk (file paths in result). Runs on NanoGPT — $0.65 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed; last run $0.27, ~2m 11s.
Only reads 1Claude Code: allow
  • image-model-arenaCompare four image models on the same brief.No findings

    Why it is in this group

    • The description's first verb is "compare": a word for reading.
    Description, as the server wrote it
    Compare four image models on the same brief. Run makes four paid images. Judge the exact heading and footer, object count, tool shapes, composition and color. Change the shared brief to test your o… text:Shared test brief -> image:Contender 1 -> image:Contender 2 -> image:Contender 3 -> image:Contender 4; returns image (muse-image/text-to-image, 1:1) + image (gpt-image-2.5/flare/text-to-image, 1k) + image (grok-imagine-image/v2.0/text-to-image, 1:1) + image (recraft-v4, 1024×1024) saved to disk (file paths in result). Runs on NanoGPT — $0.40 deposit per call, paid in Nano (XNO) — settles at actual model cost + 20%, change returned; no account needed; last run $0.264, ~73s. Example: Reviewed sample (https://nanoodle.com/examples/gallery/#image-model-arena). The same bicycle-repair poster brief sent to four image models. All four retained the requested text in this run; only Grok rendered recognizable tire levers. Compare all outputs before choosing.

This is not a safety rating, and no finding is not a safety guarantee. The groups and findings come from fixed checks of the tool definitions the server returned on the date shown, not from its code or what it does when called. How the checks work.

Install

Pinned to version 0.6.0. Values in angle brackets are yours to fill in.

claude mcp add --transport http nanoodle https://mcp.nanoodle.com/mcp

Run in a terminal.

Claude Code permissions

Allow the reads, ask before a change, deny the deletes. Paste into .claude/settings.json.

.claude/settings.json
{
  "permissions": {
    "allow": [
      "mcp__nanoodle__image-model-arena"
    ],
    "ask": [
      "mcp__nanoodle__character-sprites",
      "mcp__nanoodle__humanize-comment",
      "mcp__nanoodle__idea-to-3d-model",
      "mcp__nanoodle__mix-the-references",
      "mcp__nanoodle__neon-shrine-duel",
      "mcp__nanoodle__photo-to-video",
      "mcp__nanoodle__sing",
      "mcp__nanoodle__storyboard-relay",
      "mcp__nanoodle__talking-avatar",
      "mcp__nanoodle__tiny-world-film"
    ],
    "deny": []
  }
}

Tools that only read are allowed, tools that change things ask first, tools that delete or cancel are denied. It assumes the server is installed as nanoodle. Review it before you use it.