Mcp Server vs Cortex

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.

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Mcp Server
gpu-bridge
🔗 Aggregators
C
Cortex
gzoonet
🔗 Aggregators
SummaryUnified GPU inference API with 30 AI services (LLM, image gen, video, TTS, whisper, embeddings, reranking, OCR) as MCP tools. Pay-per-use via x402 USDC or API key credits.Local-first knowledge graph for developers. Watches project files, extracts entities and relationships via LLMs, builds a queryable knowledge graph with web dashboard and CLI. Provides 4 MCP tools: getstatus, listprojects, findentity, querycortex.
Quality signal23/100 (Emerging)27/100 (Emerging)
Install pathnpx · lownpx · high
Engagement 2 0 0 3 1 0 0 18
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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