# Semantic Search MCP

> Use this tool when you need to find related notes and concepts within markdown files based on their meaning, rather than just keywords. It solves problems of information discovery and duplicate content creation by automatically detecting similar notes and suggesting relevant connections. Ideal for note-taking, knowledge management, and research applications where contextual understanding is key.

Canonical page: https://skillsregistry.net/skills/bborbe-semantic-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bborbe-semantic-search-mcp

## Description

Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/budotpjup1)
- **Repository:** <https://github.com/bborbe/semantic-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": "bborbe-semantic-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bborbe-semantic-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bborbe-semantic-search-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt