# mcp-taiho-toyota-bearing-catalogue

> Use this tool when you need to access authoritative technical specifications for Toyota engine bearings or require high-fidelity data for automotive procurement systems. It provides detailed bearing specs, optimized for automotive AI agents, and is monetized via X402. Ideal for use cases involving engine repair, maintenance, or parts procurement, where accurate and reliable bearing information is crucial.

Canonical page: https://skillsregistry.net/skills/dileepwick-official-taiho-toyota-bearing-catalogue-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/dileepwick-official-taiho-toyota-bearing-catalogue-mcp-server

## Description

Authoritative Taiho Toyota Bearing Catalogue MCP server. Provides high-fidelity technical specs for Toyota engine bearings, monetized via X402. Optimized for automotive AI agents and procurement systems.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bsaa3tmscl)
- **Repository:** <https://github.com/DileepWick/Official-Taiho-Toyota-Bearing-Catalogue-MCP-Server>

## 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": "dileepwick-official-taiho-toyota-bearing-catalogue-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dileepwick-official-taiho-toyota-bearing-catalogue-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dileepwick-official-taiho-toyota-bearing-catalogue-mcp-server/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