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Ragora

Search your knowledge bases from any AI assistant using hybrid RAG.

50poor
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
49.5
⚿ Capabilities & Risk Explainer
no elevated permissions
◆ Risk level: low· 3 tools · auth: no auth required
No elevated permissions requested — safe to connect.
Tool nameDescriptionDestructive?
discover_collectionsList all knowledge bases you have access to, with descriptions, stats, available operations, and usage examples.✓ no
searchSearch across all your knowledge bases at once. Returns ranked results with relevance scores and source metadata.✓ no
search_collectionSearch a specific knowledge base by name or slug, with optional tag and metadata filters.✓ no
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/velarynai/ragora-mcp
📈 Score historylast 15 snapshots
5/25/20266/6/2026 · 15 snapshots
⚙ Maintenance health
maintenance data not yet available — check back later.
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated13d ago
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Ragora — MCP Score: 50/100 | MCPScore | Timeahead