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
基本信息
The MCP server allows users to utilize user-defined and/or local LLMs in Clause Code to handle smaller, straightforward tasks and save tokens.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"cc-token-saver": {
"type": "stdio",
"command": "python",
"args": [
"<path>/cc_token_saver_mcp/server.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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