Text Intelligence Mcp

Text Intelligence delivers robust NLP capabilities without the hassle of authentication or

Should I use this

Quality & Safety

B
Description quality
83%
Schema completeness
72%
Naming quality
90%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (2)

  • LOWTool 'detect_language' description lacks action verbin detect_language
  • LOWTool 'extract_keywords' description lacks action verbin extract_keywords

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~438Tokens (tool definitions)
~453 BTypical response size
Minimal attention impact (0.34% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "text_intelligence_mcp": {
      "url": "https://text-intelligence-mcp.mcpize.run/mcp"
    }
  }
}

Remote endpoints

https://text-intelligence-mcp.mcpize.run/mcpstreamable-http

What it can do

Tool inventory

Tools (6)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪detect_language(text)

Detect language of text using character frequency analysis. Returns: {language, confidence, method}

Input 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}

Input 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}

Input 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}]}

Input 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}

Input 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.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "health_checkArguments"
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded6 tools
verifiedversion not recorded6 tools