# Deadzone

> Use this tool when you need to perform offline semantic searches over local documentation libraries. Deadzone solves the problem of accessing and searching documentation without an internet connection, providing a local-first MCP server with vector index capabilities. It takes in library docs as input and outputs relevant search results over stdio, ideal for use cases where internet access is limited or unavailable.

Canonical page: https://skillsregistry.net/skills/laradji-deadzone  
JSON: https://api.skillsregistry.net/v1/skills/laradji-deadzone

## Description

Local-first MCP server providing semantic search over library docs, fully offline. Single Go binary speaks MCP over stdio against a vector index pinned to the binary version. Like Context7 with the internet turned off. Apache 2.0. Linux + macOS, also available as a container image.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y2e5pzgqzk)
- **Repository:** <https://github.com/laradji/deadzone>

## 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": "laradji-deadzone"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/laradji-deadzone` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/laradji-deadzone/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