Writing Style Checker
Prose linter + AI-slop detector: weasel words, passive voice, hedging, and research-cited AI tells
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Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"wsc": {
"command": "npx",
"args": [
"wsc-mcp"
]
}
}
}Paquetes ejecutables
2.2.2stdioPuntos de conexión remotos
https://wsc.theserverless.dev/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (3)
🟢check_text(text, config, format)
Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.
Esquema de entrada
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to analyze for writing style issues"
},
"config": {
"type": "object",
"description": "Optional config to enable/disable detectors or add/remove word-list entries; same schema as .wscrc.json (https://wsc.theserverless.dev/schema.json)"
},
"format": {
"type": "string",
"enum": [
"plain",
"markdown"
],
"description": "Set to \"markdown\" to mask code blocks, inline code, tables, and headings so they are not linted as prose; default \"plain\" lints everything"
}
},
"required": [
"text"
]
}🟢fix_duplicates(text)
Remove duplicate adjacent words (case-insensitive, including across line breaks) and return the cleaned text plus the list of words that were removed. Read-only with no side effects: the fix is returned in the response, nothing is written anywhere. Use after check_text reports duplicate words; other issue types are report-only and have no auto-fix.
Esquema de entrada
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to clean by removing duplicate adjacent words"
}
},
"required": [
"text"
]
}🟢list_word_lists
Return every detector word/phrase list with its entry count, config key, and sample entries, plus a link to the full browsable library. Read-only, takes no parameters, and returns the same catalog for a given release. Use it to see what the detectors match before tuning a config for check_text; not needed for ordinary checking.
Esquema de entrada
{
"type": "object",
"properties": {},
"required": []
}Comunidad
Evidencia