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

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Basic information
The MCP server allows users to utilize user-defined and/or local LLMs in Clause Code to handle smaller, straightforward tasks and save tokens.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"cc-token-saver": {
"type": "stdio",
"command": "python",
"args": [
"<path>/cc_token_saver_mcp/server.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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