CG Alpha MCP
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TDQS
Scored across 12 tools
Most tools have distinct purposes, but there is some overlap: 'elfa_trending' and 'elfa_trending_tokens' appear to serve similar functions, with the former being an alias. The ELFA configuration tools (set_auth, set_base, reload_env, status) are clearly distinct from query and analysis tools, and the technical analysis tools (bollinger, rsi, summary) are well-differentiated, though 'ta_summary' combines functionality from the other two.
Naming is mostly consistent with a clear prefix pattern: 'elfa_' for ELFA-related tools and 'ta_' for technical analysis tools. However, there are minor deviations: 'elfa_trending' is an alias that doesn't follow the verb_noun pattern as strictly as others, and 'elfa_query' uses a generic term that could be more descriptive. Overall, the conventions are readable and predictable.
With 12 tools, the count is well-scoped for the server's purpose, which combines ELFA API interactions and technical analysis. Each tool earns its place, covering configuration, data retrieval, and analysis without being overly broad or sparse. This number allows for comprehensive functionality while remaining manageable.
The tool surface is largely complete for its domain, covering ELFA API configuration, data querying (keyword mentions, token news, trending tokens), and technical analysis (RSI, Bollinger Bands). A minor gap is the lack of tools for more advanced ELFA operations beyond basic queries, but core workflows are well-supported, and agents can work around this with the generic 'elfa_query' tool.