Kage vs Mcp Server

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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Kage
kage-core
🧠 Knowledge & Memory
M
Mcp Server
DollhouseMCP
🧠 Knowledge & Memory
SummaryVerified, git-native memory for coding agents. Memory is plain JSON packets committed in your repo, each checked against the code it cites — hallucinated citations rejected at write, stale or changed memory withheld at recall, plus diff-time stale-catch. Local-only (BM25 + vectors), no account, no API key. npx -y @kage-core/kage-graph-mcp installOne-line installable MCP server that adds reusable customization elements — personas, skills, templates, agents, memory, and ensembles (collected customization tools) — to any MCP Client application. Dynamic permissioning for safe AI operations, a robust validation architecture, versioning, and a public collection of shareable content. Install: npx @dollhousemcp/mcp-server@latest --web.
Quality signal24/100 (Emerging)28/100 (Emerging)
Install pathnpx · highnpx · high
Engagement 0 0 0 0 0 0 37
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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