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mcp-semantic-search

Indexes codebases using semantic embeddings for natural language search, enabling developers to find code with queries like 'how does authentication work'.

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50poor

▣ Score BreakdownMCPScore = Σ(raw × weight)

DimensionRawWeighted

Security

35%

100

35.0

Freshness

25%

7.5

Adoption

20%

0.0

Quality

10%

2.0

Trust

10%

5.0

Total

49.5

⚿ Capabilities & Risk Explainer

fs readsecrets

◆ Risk level: low

fs read + secrets — requires access to credentials or environment secrets.

⚙ Install config

Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/rohithmahesh3/mcp-semantic-search

⛁ Raw data

weekly downloads0

github stars0

forks0

open issues0

license✗ missing

readme length0 chars

last updated1d ago

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