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Sezzlee Local LLM

io.github.sezzlee/llm ยท v0.1.3

Let a planning agent hand bounded language work to a local Ollama model.

Connect Runs on your machine

Terminal
claude mcp add llm -e SEZZLEE_LLM_MODEL=<SEZZLEE_LLM_MODEL> -e SEZZLEE_LLM_BASE_URL=<SEZZLEE_LLM_BASE_URL> -e SEZZLEE_LLM_NUM_CTX=<SEZZLEE_LLM_NUM_CTX> -e SEZZLEE_LLM_TIMEOUT_MS=<SEZZLEE_LLM_TIMEOUT_MS> -e SEZZLEE_LLM_KEEP_ALIVE=<SEZZLEE_LLM_KEEP_ALIVE> -e SEZZLEE_LLM_ROOT=<SEZZLEE_LLM_ROOT> -e SEZZLEE_LLM_OUTPUT_DIR=<SEZZLEE_LLM_OUTPUT_DIR> -- npx -y @sezzlee/[email protected]
claude_desktop_config.json
{
  "mcpServers": {
    "llm": {
      "command": "npx",
      "args": [
        "-y",
        "@sezzlee/[email protected]"
      ],
      "env": {
        "SEZZLEE_LLM_MODEL": "<SEZZLEE_LLM_MODEL>",
        "SEZZLEE_LLM_BASE_URL": "<SEZZLEE_LLM_BASE_URL>",
        "SEZZLEE_LLM_NUM_CTX": "<SEZZLEE_LLM_NUM_CTX>",
        "SEZZLEE_LLM_TIMEOUT_MS": "<SEZZLEE_LLM_TIMEOUT_MS>",
        "SEZZLEE_LLM_KEEP_ALIVE": "<SEZZLEE_LLM_KEEP_ALIVE>",
        "SEZZLEE_LLM_ROOT": "<SEZZLEE_LLM_ROOT>",
        "SEZZLEE_LLM_OUTPUT_DIR": "<SEZZLEE_LLM_OUTPUT_DIR>"
      }
    }
  }
}
~/.cursor/mcp.json
{
  "mcpServers": {
    "llm": {
      "command": "npx",
      "args": [
        "-y",
        "@sezzlee/[email protected]"
      ],
      "env": {
        "SEZZLEE_LLM_MODEL": "<SEZZLEE_LLM_MODEL>",
        "SEZZLEE_LLM_BASE_URL": "<SEZZLEE_LLM_BASE_URL>",
        "SEZZLEE_LLM_NUM_CTX": "<SEZZLEE_LLM_NUM_CTX>",
        "SEZZLEE_LLM_TIMEOUT_MS": "<SEZZLEE_LLM_TIMEOUT_MS>",
        "SEZZLEE_LLM_KEEP_ALIVE": "<SEZZLEE_LLM_KEEP_ALIVE>",
        "SEZZLEE_LLM_ROOT": "<SEZZLEE_LLM_ROOT>",
        "SEZZLEE_LLM_OUTPUT_DIR": "<SEZZLEE_LLM_OUTPUT_DIR>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "llm": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@sezzlee/[email protected]"
      ],
      "env": {
        "SEZZLEE_LLM_MODEL": "<SEZZLEE_LLM_MODEL>",
        "SEZZLEE_LLM_BASE_URL": "<SEZZLEE_LLM_BASE_URL>",
        "SEZZLEE_LLM_NUM_CTX": "<SEZZLEE_LLM_NUM_CTX>",
        "SEZZLEE_LLM_TIMEOUT_MS": "<SEZZLEE_LLM_TIMEOUT_MS>",
        "SEZZLEE_LLM_KEEP_ALIVE": "<SEZZLEE_LLM_KEEP_ALIVE>",
        "SEZZLEE_LLM_ROOT": "<SEZZLEE_LLM_ROOT>",
        "SEZZLEE_LLM_OUTPUT_DIR": "<SEZZLEE_LLM_OUTPUT_DIR>"
      }
    }
  }
}

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools

This server runs locally, so its tools are listed by your MCP client once it starts.

Environment variables

NameDescription
SEZZLEE_LLM_MODEL
Required
Ollama model to call
SEZZLEE_LLM_BASE_URL
Optional
Ollama base URL
SEZZLEE_LLM_NUM_CTX
Optional
Context window in tokens
SEZZLEE_LLM_TIMEOUT_MS
Optional
Per-call timeout in milliseconds
SEZZLEE_LLM_KEEP_ALIVE
Optional
How long Ollama keeps the model loaded
SEZZLEE_LLM_ROOT
Optional
Workspace folder paths resolve against
SEZZLEE_LLM_OUTPUT_DIR
Optional
Folder local_map writes its CSV into

Details

Package@sezzlee/[email protected] (NPM, stdio)
First published11 Oct 2026
Last updated11 Oct 2026
Registry nameio.github.sezzlee/llm

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