# Paparats – Local Semantic Code Search MCP

> Use this tool when you need to efficiently search and retrieve relevant code snippets across multiple repositories, leveraging semantic search capabilities to streamline AI-powered coding assistance. Paparats solves the problem of tedious code searching, providing a seamless interface for querying and retrieving code without requiring API keys. Ideal for use cases where local, multi-repo code search is necessary, such as AI-driven coding projects.

Canonical page: https://skillsregistry.net/skills/io-github-ibazylchuk-paparats-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-ibazylchuk-paparats-mcp

## Description

Local-first semantic code search across all your repos. Private context for AI coding assistants.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** scanned

## Facts

- **Version:** 0.1.10
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-06-16

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.IBazylchuk%2Fpaparats-mcp)
- **Repository:** <https://github.com/IBazylchuk/paparats-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": "io-github-ibazylchuk-paparats-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-ibazylchuk-paparats-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-ibazylchuk-paparats-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
