A
licenseNot graded
qualityC
maintenanceEnables AI coding agents to efficiently analyze codebases by extracting AST skeletons, reducing token usage while preserving type contracts and interfaces.
5 npm
1
MIT
mcp-context-condenser
by rafim-dev
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TDQS
A4.1/5.0
Scored across 4 tools
Disambiguation4/5
Most tools target clearly distinct inputs: source files, individual symbols, logs, and token analysis. Condense_source and extract_symbol both reduce source token usage, but their different approaches (structural skeleton vs. exact symbol extraction) are described well enough to distinguish them.
Naming Consistency4/5
Three tools follow a clean verb_noun snake_case pattern (condense_source, extract_symbol, compress_log). Token_budget_view breaks the pattern by leading with the noun rather than an action verb, creating a minor inconsistency.
Tool Count5/5
Four tools is an ideal size for a focused context-condensing utility. Each tool serves a distinct, practical purpose and none feel redundant or unnecessary.
Completeness4/5
The set covers source reduction, symbol extraction, log compression, and token-budget analysis, which addresses the main context-overload scenarios. Minor gaps exist, such as no multi-file or project-wide condensation tool, but the core workflows are well covered.
Maintenance
ActivityMaintained
ResponsivenessNo issues