MCP Embedding Search
Rank #21231glama/spences10/mcp-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.
MCP Embedding Search is a Model Context Protocol (MCP) server published by spences10. It ranks #21231 of 58,900 servers tracked on MCP Toplist, and its repository has 4 GitHub stars. MCP Embedding Search is listed across 2 registries — Glama and PulseMCP, and ships as a single rolling release with no explicit version metadata. It was first listed on Mar 5, 2025.
Ranks ahead of 37,669 of 58,900 servers on MCP Toplist.
Use MCP Embedding Search
MCP Embedding Search doesn’t publish a machine-readable install config. Follow the setup instructions in its repository ↗, or open one of its registry listings above.
Listed on 2 registries
spences10
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Not versioned
This server is published through registries that do not expose explicit version metadata, and no GitHub release tags were found on the linked repository. The listing tracks a single rolling release.
Frequently asked questions
- What is MCP 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.
- Who maintains MCP Embedding Search?
- MCP Embedding Search is maintained by spences10, which publishes 17 MCP servers (6 total versions) tracked on MCP Toplist.
- Is MCP Embedding Search an official MCP server?
- MCP Embedding Search is not on the Official MCP Registry. It is listed on Glama and PulseMCP.
- How many versions does MCP Embedding Search have?
- MCP Embedding Search ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for MCP Embedding Search?
- The source code for MCP Embedding Search is hosted at github.com/spences10/mcp-embedding-search.