Local MCP server: five tools to store, retrieve, and retire project decisions. SQLite by default.
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Krusch Context MCP is an MCP server that local MCP server: five tools to store, retrieve, and retire project decisions. SQLite by default. Its tool list has not been published yet over stdio and http, requires no API key, and scores 88/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"krusch-context": {
"args": [
"-y",
"krusch-context-mcp"
],
"command": "npx"
}
}
}Are you the author?
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Local MCP server: five tools to store, retrieve, and retire project decisions. SQLite by default.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y 'krusch-context-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked krusch-context-mcp against OSV.dev.
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Local MCP server: five tools to store, retrieve, and retire project decisions. SQLite by default — powering the
$0.00Zero-LLM Raw-RAG + 4-Way RRF memory substrate behind91.17%(547/600@$24.54,Gemini 4 Argon Low— uploadeddolphinbench.aisubmissionUUID c047b063,status: "queued"awaiting leaderboard acceptance; exceeds current70.67%published leaderboard entry in independent600/600evaluation),90.67%(544/600@$30.54,Argon Low + Grounded v0.3— self-run clean-room evaluation with highestRileyslice181/200 = 90.50%and published SHA-256 audit logs;98.33%Global Oracle@28), and57.33%(344/600@$0.00, Wave-6krush420/gemma4-31b-sre-lora+Grounded— highest open-weights score in self-run 28-run evaluation;54.17%[325/600] stock submissionUUID 288671aduploaded & queued ondolphinbench.ai) across28OfficialDolphinBenchruns (16,800traces),90.26%(1,390/1,540,92.66%Oracle@2,95.77%recall,182 ms) onSnap LoCoMo(ACL 2024), and93.00%10M-token IE recall on ICLR 2026BEAM.
📖 Read the Systems & Benchmark Deep Dives: Read Paper #27 — Return on Memory (
91.17%Queueddolphinbench.aiSubmissionUUID c047b063&90.67%Clean-Room Grounded v0.3) (PDF), Paper #26 — What DolphinBench Taught Me About Local AI (Highest Open-Weights Score57.33%Wave-6 /56.67%Stock+Grounded /54.17%Queued StockUUID 288671adGemma 4 31B@$0.00), and [Beyond Flat Vector RAG: What Makes krusch-context-mcp Special](https://krusch.dev/articles/what-makes-krusch-context-mcp-spec