# Semantic Search MCP Server

> Use this tool when you need to efficiently search codebases using natural language queries, and traditional keyword-based searches are insufficient. The Semantic Search MCP Server converts queries into efficient search patterns and leverages LLMs to verify relevance, providing accurate code snippet results. It is ideal for use cases where complex codebase searches are required, and precise results are crucial.

Canonical page: https://skillsregistry.net/skills/mix0z-semantic-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mix0z-semantic-search-mcp

## Description

Enables AI agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r67dgxfsyl)
- **Repository:** <https://github.com/mix0z/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": "mix0z-semantic-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mix0z-semantic-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mix0z-semantic-search-mcp/pull`

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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
