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Social Trends Intelligence MCP

Server Details

Trending topics, cross-platform sentiment, viral content, community pulse & brand mentions.

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Status
Unhealthy
Uptime
0.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP
URL
Server Listing
social-intel-mcp
ChatGPT
–
Claude
–

TDQS

A4.1/5.0

Scored across 8 tools

Disambiguation4/5

Most tools have clearly distinct purposes: brand_mentions targets brand tracking, community_pulse checks community pulse, topic_sentiment analyzes sentiment, trending_topics tracks trends, viral_content finds viral posts. However, trending_topics and viral_content overlap slightly in tracking what's gaining attention, though the former focuses on topics and the latter on specific content. brief_summary and daily_brief are related but priced differently. Overall, agents can distinguish them with careful description reading.

Naming Consistency3/5

All names use snake_case, but the pattern varies: some are noun_verb (brand_mentions, topic_sentiment), some are adjective_noun (brief_summary, viral_content), and some are noun_noun (community_pulse, daily_brief, trending_topics, mint_info). No consistent verb_noun pattern. The names are still readable but lack a unified convention.

Tool Count5/5

8 tools cover the core functionalities of a social trends intelligence server: brand tracking, community check, sentiment analysis, trending topics, viral content, daily brief, and a summary preview. The count is well-scoped; each tool serves a distinct need without being excessive. The inclusion of mint_info for server metadata is a nice touch.

Completeness4/5

The tool set covers most common social listening use cases: trend discovery, sentiment, viral tracking, branded mentions, and community analysis. Minor gaps include lack of historical data retrieval, export functionality, or scheduled alerts. However, for a query-only intelligence server, the surface is reasonably complete.

Tool Schema Changelog

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