Literature Review Council MCP Server

What the code does

We read the source, 19 h ago · rules 3dff92dd89df

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

        topic_path = os.path.join(output_dir, f"{slug}.md")

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

claude mcp add lit-review-council -- uvx lit-review-council

{
  "mcpServers": {
    "lit-review-council": {
      "args": [
        "lit-review-council"
      ],
      "command": "uvx"
    }
  }
}

[mcp_servers.lit-review-council]
command = "uvx"
args = ["lit-review-council"]

{
  "mcpServers": {
    "lit-review-council": {
      "args": [
        "lit-review-council"
      ],
      "command": "uvx"
    }
  }
}

{
  "mcpServers": {
    "lit-review-council": {
      "args": [
        "lit-review-council"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: OPENROUTER_API_KEY (OpenRouter API key for LLM access), GITHUB_TOKEN (GitHub personal access token for practitioner track searches), TAVILY_API_KEY (Tavily API key for web search), OPENALEX_API_KEY (OpenAlex API key for academic search), ENG_MODEL (Model for engineer agents (default: openrouter/moonshotai/kimi-k2.6)), RESEARCH_MODEL (Model for research agents (default: openrouter/z-ai/glm-5.1)), JUDGE_MODEL (Model for reviewer/synthesis agents (default: openrouter/deepseek/deepseek-v4-pro)). The author declared them in the registry entry; get the values from the project itself.