# Tenchi-MCP

> Tenchi-MCP — dovahkiinyuzuko-tenchi-mcp. Use this tool when you need to orchestrate large language model (LLM) inference across hybrid cloud and local environments. It solves problems of scalability, flexibility, and efficiency in LLM deployment by leveraging Model Context Protocol (MCP) and Ollama. The Tenchi-MCP tool takes in LLM models and configuration inputs, and outputs optimized inference workflows, making it ideal for use cases requiring seamless integration of cloud and local computing resources.

Canonical page: https://skillsregistry.net/skills/dovahkiinyuzuko-tenchi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dovahkiinyuzuko-tenchi-mcp

## Description

[ENG] A hybrid cloud/local LLM inference orchestrator via Model Context Protocol (MCP) and Ollama / [JPN] Model Context Protocol (MCP) と Ollama を活用したクラウド・ローカル LLM ハイブリッド推論オーケストレーター

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/DovahkiinYuzuko/Tenchi-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": "dovahkiinyuzuko-tenchi-mcp"
    }
  }
}
```

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