Lexicon
Server Details
Lexicon Oracle is a deep-knowledge engine that analyzes population data and professional behaviors unavailable in standard LLM training. Beyond raw demographics, it specializes in predictive modeling for newer generations (Gen Z/Alpha), identifying emerging cultural trends, and forecasting the success probability of new business ventures based on behavioral market fit. Key Capabilities: Predictive Success: Forecasts business viability and market adoption. Generational Intelligence: Deep-dive ana
The last two health checks of this connector failed. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
- Status
- Unhealthy
- Uptime
- 0.0% over 74 days
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
Scored across 6 tools
Tools are mostly distinct: compare.methodology applies frameworks to topics, compare.topic searches across lenses, and compare.vs does head-to-head comparisons. The monitor tools are clearly separate. However, an agent might briefly confuse compare.topic and compare.methodology as both involve analysis.
Names follow a pattern like lexicon.category.action, but 'lexicon.feed' lacks a subcategory, and the actions are nouns (methodology, topic, vs) rather than verbs. The mixture of 'vs' as an abbreviation and missing second-level category creates inconsistency.
Six tools is well-scoped for the intelligence and monitoring domain. Each tool serves a clear purpose without redundancy, and the count feels neither too sparse nor too heavy.
The surface covers comparative analysis, framework-based analysis, topic intelligence, monitoring of outages and refunds, and a feed. Minor gaps exist, such as lack of alert creation or additional monitoring types, but core workflows are covered.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
6 tool updates
- First observed
lexicon.compare.methodology - First observed
lexicon.compare.topic - First observed
lexicon.compare.vs - First observed
lexicon.feed - First observed
lexicon.monitor.outage - First observed
lexicon.monitor.refunds
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceRemote MCP server that lets AI assistants read tracked competitive intelligence — competitor news, reviews, website changes, social posts and ads — and act on it by managing projects, competitors, battle cards, reports and canvases. Every answer carries a source and a date, and write actions only publish when explicitly shared.MIT
- AlicenseCqualityBmaintenanceCompetitor Monitor AI - MCP server providing AI-powered tools and automation by MEOK AI Labs115 npm55 PyPIMIT
- AlicenseAqualityCmaintenanceEnables brand visibility monitoring across major AI platforms like ChatGPT, Claude, Gemini, and Perplexity. It allows users to track visibility scores, analyze competitor data, and receive actionable insights to improve AI-generated brand recommendations.1618 npm1MIT

industrylens-mcpofficial
AlicenseNot gradedqualityBmaintenanceBrowse IndustryLens's published competitive-intelligence reports and head-to-head competitor comparisons from any AI agent — real, source-backed data.MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.