Geppetto-Robot-Directory
vlatest
MCP Serversmithery5k
io.smithery.axel-belfort.sentiment-analyzer · vlatest
Text sentiment analysis API for AI agents. Analyze sentiment (positive/negative/neutral) with confidence score, emotion detection (joy, anger, fear, surprise, sadness), and key phrase extraction. Single and batch modes. Tools: text_analyze_sentiment (single), text_analyze_sentiment_batch (multiple texts). Use this for social media monitoring, review analysis, brand sentiment tracking, or content moderation. IMPORTANT: For content topic classification, use text_classify_content instead. Returns: {sentiment, confidence, emotions[], keyPhrases[]}. No API key required — x402 micropayment $0.005/call on Base L2.
热度数据
Sentiment Analyzer — Emotions, Confidence & Key Phrases 是一个MCP Server，收录自 smithery。支持 streamable-http 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。
选择你的平台查看安装方式
{
"mcpServers": {
"io-smithery-axel-belfort-sentiment-analyzer": {
"url": "https://smithery.ai/servers/axel-belfort/sentiment-analyzer"
}
}
}io.smithery.hello-oipe.Geppetto-Robot-Directory
Query the world's robot directory — 812 robots across 30 categories and 319 brands. Tools: search_robots (by category, brand, price, use case), get_robot and get_robot_full (complete specs), compare_robots (side-by-side diff), get_category, and get_job_automation_risk (robot displacement scores for 240+ professions — data available nowhere else). All reads public, no auth.
{
"id": "io.smithery.axel-belfort.sentiment-analyzer",
"type": "mcp-server",
"version": "latest",
"displayName": "Sentiment Analyzer — Emotions, Confidence & Key Phrases",
"description": "Text sentiment analysis API for AI agents. Analyze sentiment (positive/negative/neutral) with confidence score, emotion detection (joy, anger, fear, surprise, sadness), and key phrase extraction. Single and batch modes.\n\nTools: text_analyze_sentiment (single), text_analyze_sentiment_batch (multiple texts).\n\nUse this for social media monitoring, review analysis, brand sentiment tracking, or content moderation. IMPORTANT: For content topic classification, use text_classify_content instead.\n\nReturns: {sentiment, confidence, emotions[], keyPhrases[]}. No API key required — x402 micropayment $0.005/call on Base L2.",
"iconUrl": "https://www.google.com/s2/favicons?domain=github.com&sz=64",
"homepage": "https://github.com/Br0ski777/sentiment-analyzer-x402",
"distribution": {
"packages": [],
"remotes": [
{
"transport": "streamable-http",
"url": "https://smithery.ai/servers/axel-belfort/sentiment-analyzer"
}
]
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode"
],
"keywords": [
"use_count:4864",
"remote"
],
"provenance": {
"origin": "smithery",
"originalId": "axel-belfort/sentiment-analyzer",
"originalUrl": "https://smithery.ai/servers/axel-belfort/sentiment-analyzer",
"isOfficial": false,
"status": "active"
}
}