Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Local proxy that collapses N downstream MCP servers into 4 meta-tools with progressive tool discovery (measured: 122 tools → 4, 28.6K tokens of definitions saved), compresses large tool outputs (HTML→Markdown, JSON structure summarization, base64 stripping — 60–95% measured on real pages/APIs) with full-output retrieval via readmore, and prints a per-session token-savings report. Security-relevant outputs are never silently compressed. Install: npx -y context-firewall --config config.json
Intelligent search capabilities to let every model and client use Claude Agent Skills like native.
Quality signal
44/100 (Fair)
45/100 (Fair)
Install path
npx · high
uvx · high
Engagement
1 0 0 1
3 0 0 396
Tools
Collapses many downstream tools into 4 meta-toolsProgressive tool schema disclosure to reduce startup token costOutput compression pipeline: base64 stripping, HTML→Markdown, JSON summarizationFull output retrieval with read_more paginationPer-session token savings reportingConfigurable per-tool allow/deny access policies
Semantic vector search for intelligent skill discoveryProgressive multi-level skill loading (metadata to full content)Two-package architecture with fast frontend and powerful backendAuto-updates skill indexes hourly from GitHub and local sourcesConfigurable sources, models, and content limits without API keys
