word_analyze
One sentence → the best-matching visual styles + the feeling words behind them.
text必填wordsstyles
io.github.CloudCorpRecords由 GitHub 账号 CloudCorpRecords 发布v0.1.0更新于 Nov 7, 2026
将句子与视觉风格和感觉词匹配;在词典中查找词语和风格。
AI 翻译由 AI 模型根据下方的原文描述翻译,可能有误。
Match a sentence to visual styles and feeling words; look up words and styles in a lexicon.
Stylechart 的本地 MCP 服务;无需登录;STDIO;5 个工具。
暂无 AI 概览:以下信息来自注册中心条目和服务本身。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
参照 仓库 中的启动说明。
Describe a mood in one ordinary sentence and stylechart tells you which visual styles it points at. Under the hood is a two-layer lexicon: feeling words on one side, visual styles on the other, and links between them. One colloquial sentence goes in; the best-matching styles come back, together with the feeling words that carried the match, so you can see why a style was chosen rather than just its name.
stylechart is a direct client of the documented public
feeling-search REST API (v2) hosted at https://xiximm.cloud.
The lexicon and the matching live server-side; this package
validates arguments, calls the free endpoints, and hands the
JSON back.
The five tools:
word_analyze — one sentence (up to 500 characters) →
the best-matching visual styles plus the feeling words
behind them. Optional words (1–12) and styles (1–30)
cap how many of each come back. A phrasing outside the
lexicon returns an empty word list; that is expected, not
an error.word_lookup — a single feeling word in full: definition,
near-synonyms, and the styles it lands on.word_list — the whole lexicon in one response. With a
query, the dictionary is filtered locally: words whose
text contains the query and styles whose name or id does,
with filtered and total counts reported side by side.style_get — one style by id (for example synthwave):
definition, parent style, member words, reference images.word_status — lexicon coverage only: the {ok, counts}
slice of the dictionary response, for checking the data is
fresh without downloading the full tables.This rebuild talks exclusively to the documented free
endpoints (POST /v2/analyze, GET /v2/links,
GET /v2/dictionary, GET /v2/styles/<id>). The paid cloud
path is not supported: there is no payment machinery of
any kind, no support for purchased quota tokens (the
X-FS-Quota header is never sent), and the metered images
endpoint is never called. If the upstream ever answers
/v2/analyze with HTTP 402, stylechart reports it as an
error naming the paid path instead of paying.
FEELING_API_BASE — API base URL. Defaults to
https://xiximm.cloud. No API key is needed or accepted.Each tool is a subcommand taking one JSON argument string
(word_status takes none, word_list's argument is
optional):
Output is the tool's result JSON. Exit codes: 0 on
success, 1 on a runtime error (including a validation or
upstream failure), 2 on a usage error.
MCP client config:
MIT — Copyright (c) 2026 Rene Turcios
来源:README.md,提交 2bed956
One sentence → the best-matching visual styles + the feeling words behind them.
text必填wordsstylesLook up a single feeling word: definition, near-synonyms, landing styles.
word必填Browse / search the full feeling-word lexicon.
queryOne style in full: definition, parent style, member words, reference images.
id必填Lexicon coverage — use it to check the data is fresh.
无需输入参数。
已满足适用检查项的 90%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。
npx @reneturcios/stylechart word_analyze '{"text":"rainy neon streets at night","styles":5}'npx @reneturcios/stylechart word_lookup '{"word":"melancholy"}'npx @reneturcios/stylechart word_list '{"query":"neon"}'npx @reneturcios/stylechart word_listnpx @reneturcios/stylechart style_get '{"id":"synthwave"}'npx @reneturcios/stylechart word_statusnpx @reneturcios/stylechart --versionnpx -y @reneturcios/stylechart mcp{ "mcpServers": { "stylechart": { "command": "npx", "args": ["-y", "@reneturcios/stylechart", "mcp"] } }}docker run -i ghcr.io/cloudcorprecords/stylechartdocker run --rm ghcr.io/cloudcorprecords/stylechart word_statusnpm installnpm run build # tsc -> dist/npm test # tsx --test test/*.test.ts (fake fetch only, no network)npm run dev # run the CLI from source