Writing Style Checker
Prose linter + AI-slop detector: weasel words, passive voice, hedging, and research-cited AI tells
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"wsc": {
"command": "npx",
"args": [
"wsc-mcp"
]
}
}
}Ausführbare Pakete
2.2.2stdioRemote-Endpunkte
https://wsc.theserverless.dev/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {},
"required": []
}Community
Nachweis