Sezzlee Local LLM

io.github.sezzlee/llm

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

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Connect this server

Add this to your MCP client config — claude_desktop_config.json (Claude Desktop) or .cursor/mcp.json (Cursor).Suits: Claude Desktop · Cursor.

{
  "mcpServers": {
    "llm": {
      "command": "npx",
      "args": [
        "-y",
        "@sezzlee/llm-mcp@0.1.3"
      ],
      "env": {
        "SEZZLEE_LLM_MODEL": "<your SEZZLEE_LLM_MODEL>",
        "SEZZLEE_LLM_BASE_URL": "http://127.0.0.1:11434",
        "SEZZLEE_LLM_NUM_CTX": "16384",
        "SEZZLEE_LLM_TIMEOUT_MS": "300000"
      }
    }
  }
}
Environment variables
  • SEZZLEE_LLM_MODELrequiredOllama model to call
  • SEZZLEE_LLM_BASE_URLOllama base URL
  • SEZZLEE_LLM_NUM_CTXContext window in tokens
  • SEZZLEE_LLM_TIMEOUT_MSPer-call timeout in milliseconds

A starting point — check the repository for exact arguments and setup. Restart your client after editing the config.

Category
AI & ML
Version
0.1.3
Registry
active
Published
10/11/2026

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