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AI Manga & Anime Generator - Mangii MCP

Create manga story

manga.create_story

Start a new private manga (panel 1). Required: prompt + style_id from manga.list_styles. Optional identity_image or reference_image is Image 1. Style locks. Default async=false returns image_url, story_id, panel_id. Then manga.continue_story. Costs 1/2/5 credits by quality.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asyncNoOn this MCP server the default is false: wait and return image_url in one call. Set true only if you will poll manga.get_job. HTTP API default remains async.
titleNoOptional story title shown in the library. Example: "Rain Duel". Omit to let Mangii name it.
promptYesScene in everyday language: characters, place, action, mood, camera, weather, color or black-and-white. Example: "A duel under cherry blossoms, low angle, rain, full color." Max 2000 characters.
qualityNoGeneration quality. standard costs 1 credit, hd 2, ultra 5. Default standard. HD/Ultra need an unlocked API wallet.
style_idYesCanonical style id from manga.list_styles. Example: classic_shonen or cinematic_anime. Locked after panel 0.
identity_imageNoReplacement photo: https URL or data:image/...;base64,... URI. Public hosts only. Same slot cannot also send a panel id.
idempotency_keyNoOptional. Reuse the same key on retry so a timeout does not charge twice. 8-200 chars. Omit to mint a one-shot key (unsafe on retry).
reference_imageNoOptional first-panel identity photo. https URL or data URI. Alias of identity_image.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoMachine error code such as invalid_request, insufficient_credits, or quality_forbidden.
job_idNoAsync job id when async is true or the work is still running.
messageNoHuman-readable error. Never includes stack traces or internal paths.
qualityNoQuality used for this generation.
panel_idNoGenerated or regenerated panel id.
story_idNoCreated or existing story id.
image_urlNoHTTPS URL of the finished panel when async is false and generation succeeded.
next_stepNoWhat the agent should call next. Follow this instead of guessing.
request_idNoRequest correlation id.
credits_chargedNoAPI credits billed for a successful generation.
credits_remainingNoRemaining spendableCredits after the call (apiPack plus purchase-backed packs).

TDQS

A4.7/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations only carry the generic safety profile (readOnlyHint=false, idempotentHint=false). The description adds substantial non-obvious behavior: 'Style locks' warns that style becomes immutable after creation, 'Default async=false returns image_url, story_id, panel_id' discloses the sync/async contract and key return fields, and 'Costs 1/2/5 credits by quality' surfaces the financial consequence. It also reveals that identity_image/reference_image becomes 'Image 1' — a stateful placement detail no annotation could convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four sentences deliver the entirety of the workflow in roughly 55 words, with the core action front-loaded. Every sentence earns its place: scope, required/optional inputs, locking behavior, async contract, continuation pointer, and cost. No repetition or filler; the structure mirrors the agent's decision sequence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given its complexity — an 8-parameter, stateful, credit-consuming tool with an output schema — the description is fully adequate: it covers the start-of-story scope, the prerequisite call, the optional image semantics, the style-lock constraint, the sync/default behavior, cost, and the successor tool. The output schema owns return structure, and the 100% schema coverage handles parameter details, so nothing the agent needs to invoke it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3; the description adds meaning beyond the schema by grouping required vs optional inputs ('Required: prompt + style_id', 'Optional identity_image or reference_image') and by framing identity_image/reference_image as alternative slots for the story's 'Image 1' — a workflow semantic the schema does not state. The credit-cost mapping (1/2/5) is surfaced prominently, though it also appears in the quality param description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource ('Start a new private manga (panel 1)'), clearly marking this as the story-creation entry point. It differentiates itself from siblings in the same line: continue_story handles later panels and 'Then manga.continue_story' anchors this tool as the first step. The required inputs (prompt + style_id) are named immediately, so an agent knows exactly what the tool accomplishes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit workflow routing: obtain style_id from manga.list_styles before calling, and follow up with manga.continue_story afterward — implying this tool is for the first panel only. It does not explicitly state 'do not use for existing stories' or name regenerate_panel as an alternative, but the prerequisite and successor hints are strong enough to prevent misuse.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: story creation, continuation, regeneration, panel listing, story listing, style listing, credit lookup, credit purchase, and job polling. Even the credit-related tools are clearly separated by purchase versus query. There is no meaningful overlap that would confuse an agent.

Naming Consistency5/5

All tools consistently use the manga. prefix with snake_case verb_noun names like create_story, list_panels, and regenerate_panel. The pattern is uniform across the entire set, making the API predictable and easy to navigate.

Tool Count5/5

Nine tools is a well-scoped size for a manga generation server: three creation-oriented tools, three listing tools, two credit tools, and one async job helper. Each tool serves a clear, non-redundant role in the workflow.

Completeness4/5

The core manga creation lifecycle is well covered: create, continue, regenerate, list stories, and list panels, plus style discovery and credit management. The only notable gaps are destructive operations like deleting stories or panels and perhaps a story detail endpoint, but these are not essential to the primary generation workflow.