# radiochron-mcp

> radiochron-mcp — sergii-ziborov-radiochron-mcp. Use this tool when you need to diagnose and troubleshoot Wi-Fi connectivity issues, as it provides comprehensive local diagnostics including connection history analysis and live signal sampling. It solves problems related to unstable or lost connections, slow network speeds, and intermittent connectivity. The tool takes Wi-Fi network data as input and returns concise findings and verdicts as output, making it suitable for use on Windows, Linux, and macOS systems where data privacy is a concern.

Canonical page: https://skillsregistry.net/skills/sergii-ziborov-radiochron-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sergii-ziborov-radiochron-mcp

## Description

Provides AI assistants with local Wi-Fi diagnostics including connection history analysis, live signal sampling, and connectivity diagnosis. It returns findings and verdicts rather than raw data, and runs on Windows, Linux, and macOS without sending data off the machine.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ddbly1kq97)
- **Repository:** <https://github.com/sergii-ziborov/radiochron-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": "sergii-ziborov-radiochron-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sergii-ziborov-radiochron-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sergii-ziborov-radiochron-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