What tasks does the local LLM handle?
Simple tasks such as code snippet generation, basic refactoring, documentation writing, code reviews, and basic Q&A.

@csabakecskemeti
基本情報
The MCP server allows users to utilize user-defined and/or local LLMs in Clause Code to handle smaller, straightforward tasks and save tokens.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"cc-token-saver": {
"type": "stdio",
"command": "python",
"args": [
"<path>/cc_token_saver_mcp/server.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Claude Code Token Saver is an MCP server that reduces token usage in Claude Code by delegating simple tasks—like code snippet generation, documentation, and basic Q&A—to a local LLM, reserving Claude Code for complex coordination and architecture decisions.
Set up the MCP server and configure Claude Code to use it. Claude Code automatically tries the local LLM first for simple tasks; you invoke the server’s tools (e.g., query_local_llm) through standard MCP tool calls. No special commands beyond normal MCP configuration are required.
Simple tasks such as code snippet generation, basic refactoring, documentation writing, code reviews, and basic Q&A.
Claude Code automatically tries the local LLM first for simple tasks; only complex reasoning and multi-step workflows are sent to Claude Code’s premium tokens.
Yes, the server requires your local LLM to be accessible; it exposes that local LLM as tools for Claude Code.
No specific configuration details are provided in the README beyond standard MCP server setup and ensuring your local LLM is available.
— (No limitations mentioned in the README.)

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