eth-mcp
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TDQS
Scored across 34 tools
Each tool clearly targets a distinct aspect of the scafford-eth workflow, education, DeFi data, or address lookups. Even similar-sounding tools like addresses_getToken and addresses_findToken have different purposes (exact address vs. cross-chain search), eliminating confusion.
All tool names follow a consistent 'category_verb_noun' pattern using snake_case (e.g., education_explainLesson, stack_start, defi_getProtocolTVL). This makes the tool surface highly predictable and easy for an AI to navigate.
34 tools is on the high side, but each tool serves a necessary function within the multi-faceted scaffold-eth domain (stack management, education, DeFi, addresses, frontend, project files, processes). A few tools could be merged (e.g., stack_start could combine fork/deploy/frontend into one param), but the granularity aids clarity.
The tool set covers the full local development workflow: init, install, start/stop components, configure external contracts, check production readiness, and even education and linting. The only notable gap is automated mainnet deployment, which is intentionally left as manual instructions, so the surface feels slightly incomplete for a truly end-to-end pipeline.