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io.github.WendellResearch-AI/benchwarmers

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Publisher-provided title

Benchwarmers

Publisher-provided description

Ask a collection of LLMs at once through your Benchwarmers server; verdicts pick the next panel.

Summary by lookupd

Lets an agent send one prompt to several LLMs at once and compare their answers, with verdicts guiding which models to consult next.

Install

Claude Code, npm package (stdio)

claude mcp add benchwarmers -- npx -y @wendellresearch-ai/benchwarmers

Claude Code, pypi package (stdio)

claude mcp add benchwarmers -- uvx benchwarmers

Codex, npm package (stdio)

codex mcp add benchwarmers -- npx -y @wendellresearch-ai/benchwarmers

Codex, pypi package (stdio)

codex mcp add benchwarmers -- uvx benchwarmers

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

{
  "mcpServers": {
    "benchwarmers": {
      "command": "npx",
      "args": [
        "-y",
        "@wendellresearch-ai/benchwarmers"
      ]
    }
  }
}

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

{
  "mcpServers": {
    "benchwarmers": {
      "command": "uvx",
      "args": [
        "benchwarmers"
      ]
    }
  }
}

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