Text Intelligence Mcp
Text Intelligence delivers robust NLP capabilities without the hassle of authentication or
我該用這個嗎
品質與安全性
發現項目（2）
- LOWTool 'detect_language' description lacks action verb在 detect_language 中
- LOWTool 'extract_keywords' description lacks action verb在 extract_keywords 中
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"text_intelligence_mcp": {
"url": "https://text-intelligence-mcp.mcpize.run/mcp"
}
}
}遠端端點
https://text-intelligence-mcp.mcpize.run/mcpstreamable-http它能做什麼
工具清單
工具（6）
⚪detect_language(text)
Detect language of text using character frequency analysis. Returns: {language, confidence, method}
輸入結構描述
{
"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}
輸入結構描述
{
"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}
輸入結構描述
{
"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}]}
輸入結構描述
{
"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}
輸入結構描述
{
"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.
輸入結構描述
{
"type": "object",
"properties": {},
"title": "health_checkArguments"
}社群
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