# Embedding Search

> Use this tool when you need to efficiently search large volumes of text data, such as transcripts, to retrieve relevant segments based on semantic similarity. It solves problems in podcast analysis, speech-to-text applications, and content recommendation systems by providing quick retrieval of similar text segments. The tool takes in text queries and outputs relevant transcript segments, utilizing a SQLite database to store and query embeddings.

Canonical page: https://skillsregistry.net/skills/spences10-embedding-search  
JSON: https://api.skillsregistry.net/v1/skills/spences10-embedding-search

## Description

This MCP server implementation, developed by Scott Spence, provides embedding search capabilities for transcripts. It utilizes a SQLite database to store and query embeddings, allowing for efficient semantic search across large volumes of text data. The implementation is designed for use cases requiring quick retrieval of relevant transcript segments based on semantic similarity, such as in podcast analysis, speech-to-text applications, or content recommendation systems.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/spences10-embedding-search)
- **Repository:** <https://github.com/spences10/mcp-embedding-search>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "spences10-embedding-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spences10-embedding-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spences10-embedding-search/pull`

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