# MCP-CAN

> MCP-CAN — farzadnadiri-mcp-can. Use this tool when you need to diagnose and analyze vehicle networks, including CAN Bus, OBD-II, and J1939 protocols, to solve problems related to automotive communication systems. It provides a model context protocol (MCP) for large language models (LLMs) to interface with vehicle diagnostics, accepting inputs such as vehicle data and network protocols, and outputting diagnostic results and insights. This tool is ideal for use cases involving vehicle troubleshooting, maintenance, and research, where detailed network analysis is required.

Canonical page: https://skillsregistry.net/skills/farzadnadiri-mcp-can  
JSON: https://api.skillsregistry.net/v1/skills/farzadnadiri-mcp-can

## Description

Vehicle CAN Bus, OBD-II and J1939 Diagnostics for LLMs (Model Context Protocol)

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/farzadnadiri/MCP-CAN)

## 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": "farzadnadiri-mcp-can"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/farzadnadiri-mcp-can` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/farzadnadiri-mcp-can/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