Text Intelligence Mcp
Text Intelligence delivers robust NLP capabilities without the hassle of authentication or
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (2)
- LOWTool 'detect_language' description lacks action verbin detect_language
- LOWTool 'extract_keywords' description lacks action verbin extract_keywords
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": {
"text_intelligence_mcp": {
"url": "https://text-intelligence-mcp.mcpize.run/mcp"
}
}
}Remote-Endpunkte
https://text-intelligence-mcp.mcpize.run/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (6)
⚪detect_language(text)
Detect language of text using character frequency analysis. Returns: {language, confidence, method}
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"title": "Text",
"type": "string"
}
},
"required": [
"text"
],
"title": "detect_languageArguments"
}🟢analyze_sentiment(text)
Analyze sentiment of text (positive/negative/neutral). Returns: {score, label, confidence}
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"title": "Text",
"type": "string"
}
},
"required": [
"text"
],
"title": "analyze_sentimentArguments"
}🟢extract_keywords(text, top_n)
Extract top keywords from text using TF scoring. Returns: {keywords: [{word, score}], total_words}
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"title": "Text",
"type": "string"
},
"top_n": {
"default": 10,
"title": "Top N",
"type": "integer"
}
},
"required": [
"text"
],
"title": "extract_keywordsArguments"
}🟢find_duplicates(texts, threshold)
Find duplicate or near-duplicate texts using Jaccard similarity. Returns: {duplicates: [{text1_idx, text2_idx, similarity}]}
Eingabe-Schema
{
"type": "object",
"properties": {
"texts": {
"items": {},
"title": "Texts",
"type": "array"
},
"threshold": {
"default": 0.8,
"title": "Threshold",
"type": "number"
}
},
"required": [
"texts"
],
"title": "find_duplicatesArguments"
}⚪summarize_text(text, max_sentences)
Extractive summarization — picks most important sentences. Returns: {summary, sentences_used, original_length}
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"title": "Text",
"type": "string"
},
"max_sentences": {
"default": 3,
"title": "Max Sentences",
"type": "integer"
}
},
"required": [
"text"
],
"title": "summarize_textArguments"
}🟢health_check
Server health check.
Eingabe-Schema
{
"type": "object",
"properties": {},
"title": "health_checkArguments"
}Community
Nachweis