Cortex vs Liquid

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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C
Cortex
gzoonet
🔗 Aggregators
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Liquid
ertad-family
🔗 Aggregators
SummaryLocal-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.Connect your agent to any HTTP API on the fly — discovers + maps any REST API once, then fetches typed data deterministically (no per-call LLM). Self-hosted MCP server (uvx --from 'liquid-api[mcp]' liquid-mcp); works with OpenAI/Gemini/Anthropic/local or any provider via LiteLLM. Open source (AGPL).
Quality signal23/100 (Emerging)25/100 (Emerging)
Install pathnpx · lowuvx · high
Engagement 1 0 0 2 0 0 2
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView CortexView Liquid
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