Text Intelligence Mcp
Text Intelligence delivers robust NLP capabilities without the hassle of authentication or
我该使用它吗
质量与安全性
发现（2）
- LOWTool 'detect_language' description lacks action verb在 detect_language 中
- LOWTool 'extract_keywords' description lacks action verb在 extract_keywords 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"text_intelligence_mcp": {
"url": "https://text-intelligence-mcp.mcpize.run/mcp"
}
}
}远程端点
https://text-intelligence-mcp.mcpize.run/mcpstreamable-http它能做什么
工具清单
工具（6）
⚪detect_language(text)
Detect language of text using character frequency analysis. Returns: {language, confidence, method}
输入模式
{
"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}
输入模式
{
"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}
输入模式
{
"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}]}
输入模式
{
"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}
输入模式
{
"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.
输入模式
{
"type": "object",
"properties": {},
"title": "health_checkArguments"
}社区
证据