# PhysicRouter

> PhysicRouter — ovenxx-physicrouter. Use this tool when you need to solve complex vehicle routing problems, such as delivery route optimization, by converting natural-language requests into real-road vehicle routes. It takes in location data and outputs optimized routes using AMap driving matrices and PyVRP solving, accessible through MCP servers. Ideal for logistics and transportation applications where efficient route planning is crucial.

Canonical page: https://skillsregistry.net/skills/ovenxx-physicrouter  
JSON: https://api.skillsregistry.net/v1/skills/ovenxx-physicrouter

## Description

Turns a delivery problem into routes on real roads. AMap for driving distances, PyVRP for the optimization, exposed as two MCP servers.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-23

## Source

- **Source listing:** [GitHub](https://github.com/Ovenxx/PhysicRouter)

## 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": "ovenxx-physicrouter"
    }
  }
}
```

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