spences10-embedding-search
Provides embedding search capabilities for transcripts using a SQLite database, enabling efficient semantic retrieval of relevant text segments for applications like podcast analysis or content recommendation.
- Score
- 53.9852 signals
- Evidence
- 4 stars · 3 forks
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
MCP server Embedding Search, catalogued on PulseMCP. Provides embedding search capabilities for transcripts using a SQLite database, enabling efficient semantic retrieval of relevant text segments for applications like podcast analysis or content recommendation.
When to use it
Provides embedding search capabilities for transcripts using a SQLite database, enabling efficient semantic retrieval of relevant text segments for applications like podcast analysis or content recommendation.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.