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
Self-hosted MCP Server registry for enterprise AI Agents
Quality signal
44/100 (Fair)
39/100 (Emerging)
Install path
npx · high
Remote · high
Engagement
1 0 0 1
4 0 0 1,187
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
Single MCP endpoint aggregating multiple MCP serversCentralized registration and management of MCP serversUnified discovery of tools, prompts, and resourcesOptional tool groups to control client tool exposureBasic access control and observability hooksSupports local and shared team deployments
