# Seroost Search MCP Server

> Use this tool when you need to perform efficient and accurate semantic code searches across large codebases using natural language queries. It solves problems such as quickly locating specific code snippets, identifying relevant functions, and navigating complex code repositories. The Seroost Search MCP Server takes in natural language queries as input and outputs ranked search results with line numbers and file paths, making it ideal for use cases where rapid code discovery and exploration are crucial.

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

## Description

Enables AI agents to perform semantic code search across entire codebases using natural language queries. Provides fast indexing and ranked search results with line numbers and file paths through the Seroost search engine.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/afg0hduwob)
- **Repository:** <https://github.com/Parado-xy/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": "parado-xy-semantic-search-mcp"
    }
  }
}
```

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