github
perform_comparison_1c_rag_mcp
Benchmark performance of RAG and RLM-based MCP servers for 1C codebases using automated E2E testing to optimize AI assistant integration.
72fair
▣ Overview
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
100
25.0
Adoption
20%
3
0.6
Quality
10%
60
6.0
Trust
10%
50
5.0
Total
71.6
⚿ Capabilities & Risk Explainer
no elevated permissions
◆ Risk level: low
No elevated permissions requested — safe to connect.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/jeebusgoodwin-netizen/perform_comparison_1c_rag_mcp
Clone and follow the build instructions in the repo: github.com/jeebusgoodwin-netizen/perform_comparison_1c_rag_mcp
⚙ Maintenance health
maintenance data not yet available — check back later.
⛁ Raw data
weekly downloads0
github stars1
forks0
open issues0
license✗ missing
readme length5311 chars
last publish0d ago
last commit0d ago
last updated5d ago
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