ПромтЛаб — библиотека AI-промптов vs gemini-code-context-mcp

Side by side on the facts. GitHub figures come straight from each repository; ratings come from signed-in reviewers here.

MetricПромтЛаб — библиотека AI-промптовMCP Server gemini-code-context-mcpMCP Server

Type: ПромтЛаб — библиотека AI-промптовMCP Server; gemini-code-context-mcpMCP Server
Category: ПромтЛаб — библиотека AI-промптовAI Tools; gemini-code-context-mcpAI Tools
GitHub stars: ПромтЛаб — библиотека AI-промптов0; gemini-code-context-mcp0
Trust scoreⓘAuditability and maintenance signals — not a security audit.: ПромтЛаб — библиотека AI-промптовNot yet assessed; gemini-code-context-mcpNot yet assessed
Community rating: ПромтЛаб — библиотека AI-промптовNo reviews yet; gemini-code-context-mcpNo reviews yet
Last commit: ПромтЛаб — библиотека AI-промптовUnknown; gemini-code-context-mcpUnknown
Licence: ПромтЛаб — библиотека AI-промптовNone declared; gemini-code-context-mcpNone declared
Official: ПромтЛаб — библиотека AI-промптовNo; gemini-code-context-mcpNo
Source: ПромтЛаб — библиотека AI-промптовNot available; gemini-code-context-mcp Repository

Highlighted cells win that row on an objective measure. Rows without a clear winner — category, licence, source — are left unmarked. A higher trust score means better auditability and maintenance, not safer code.