# semantic-search-mcp

> Use this tool when you need to find relevant code snippets based on their meaning, rather than exact keyword matches. The semantic-search-mcp tool solves problems of inefficient code search, enabling AI agents to locate useful code examples quickly, and accepts natural language queries as input, returning relevant code snippets as output. It is ideal for use cases where coding agents require intelligent code retrieval to accelerate development tasks.

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

## Description

Enables AI coding agents to perform semantic code search locally, finding code by meaning rather than exact keywords.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xqz3u4xybt)
- **Repository:** <https://github.com/Zulaxy/semantic-search-mcp>

## 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": "zulaxy-semantic-search-mcp"
    }
  }
}
```

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