# mcp-semantic-search

> Use this tool when you need to efficiently search and understand large codebases using natural language queries. It indexes code using semantic embeddings, allowing developers to find relevant code snippets with intuitive searches, such as querying functionality or implementation details. Ideal for use cases where traditional keyword-based search falls short, enabling faster discovery and comprehension of code.

Canonical page: https://skillsregistry.net/skills/rohithmahesh3-mcp-semantic-search  
JSON: https://api.skillsregistry.net/v1/skills/rohithmahesh3-mcp-semantic-search

## Description

Indexes codebases using semantic embeddings for natural language search, enabling developers to find code with queries like 'how does authentication work'.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/laimx80c61)
- **Repository:** <https://github.com/rohithmahesh3/mcp-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": "rohithmahesh3-mcp-semantic-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rohithmahesh3-mcp-semantic-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rohithmahesh3-mcp-semantic-search/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