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io.github.lawrence3699/jev-style

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Publisher-provided title

Jev-Style

Publisher-provided description

Local 2B and 0.8B decision models: calibrated yes/no, choice and score answers for your agent.

Summary by lookupd

Runs local small models that return calibrated yes/no, multiple-choice, and score answers for agent decisions.

Install

Claude Code, pypi package (stdio)

claude mcp add jev-style -- uvx jev-style

Codex, pypi package (stdio)

codex mcp add jev-style -- uvx jev-style

Cursor, pypi package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "jev-style": {
      "command": "uvx",
      "args": [
        "jev-style"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Details

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