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Adds entity sentiment analysis, document clustering, and topic naming to MCP assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sentor-mcp" yet — see the docs or source repo.
Please read this batch of user reviews, perform entity-based sentiment analysis, cluster similar comments, generate clear topic names for each cluster, and output a summary table.
A structured summary with entity sentiment, comment clusters, topic names, and overall insights.
Automatically cluster these interview notes by discussion topic, identify key entities and their sentiment in each topic, and provide presentation-ready topic titles.
Grouped interview topics, key entities with sentiment for each group, and report-ready topic names.
Run entity-based sentiment analysis on these news and social media texts, cluster them by content similarity, and automatically name each cluster to help me identify major sentiment trends.
Topic-grouped sentiment results showing key entities, sentiment distribution, and a label for each theme.
Manage, retrieve, and create customer testimonials through the Senja API.
Query and manage Sentio resources with web, data, pricing, and alert tools.
Send greetings and echo text for quick MCP interaction testing.
Access Sentry data to investigate errors, events, releases, and project health.
Enable AI to extract text, analyze structure, and understand documents deeply.
Monitor AI inputs and outputs to block injections, leaks, and phishing.