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ryanfrigo/kalshi-ai-trading-bot

❌ 实测失败serverPythonMIT★ 652

The honest edge layer for Kalshi prediction markets - an agent-native toolkit (CLI, MCP server, Claude skill) that measures whether you actually beat the book instead of claiming it.

实测结果

失败

沙箱内启动/握手失败，下方给出失败阶段与原始报错。失败阶段：—，错误类型：install_failed。这类信息对判断“是不是我这边的环境问题”很有用，原始报错见下。

error_type: install_failed

__PIP_RC__=1
__INSTALL_DONE__
__PYDIST_MISS__
Using CPython 3.12.16 interpreter at: /usr/local/bin/python3.12
Creating virtual environment at: venv
Using Python 3.12.16 environment at: venv
error: No solution found when resolving dependencies
  cause: Because kalshi-ai-trading-bot was not found in the package registry and you require kalshi-ai-trading-bot, we can conclude that your requirements are unsatisfiable.

安装方式: uvx
包名: kalshi-ai-trading-bot
解析依据: pyproject.toml name
沙箱: docker
总耗时: 1884 ms
安装耗时: 1884 ms
探针版本: 1.0.0
实测时间: 2026-11-11 15:39:00

如何使用

❌ 实测失败install_failed · __PIP_RC__=1；下面配置仅供参考，跑不跑得通取决于你的环境

1安装 / 启动命令uv / uvx

uvx kalshi-ai-trading-bot

2客户端配置Claude Desktop / Cursor

{
  "mcpServers": {
    "ryanfrigo-kalshi-ai-trading-bot": {
      "command": "uvx",
      "args": [
        "kalshi-ai-trading-bot"
      ]
    }
  }
}

整段粘进 claude_desktop_config.json 的 mcpServers 里（Cursor 用 ~/.cursor/mcp.json），保存后重启客户端。

安装方式来源：pyproject.toml name，沙箱实测未通过。

打开 GitHub 仓库 ↗项目主页 ↗MCP 体检工具

仓库信息

全名: ryanfrigo/kalshi-ai-trading-bot
分类: server
Stars: 652
Forks: 205
主要语言: Python
License: MIT
最近推送: 2026-11-09
仓库创建: 2025-07-26
首次收录: 2026-11-10
最近抓取: 2026-11-10

#agentic-ai#ai-agents#ai-trading#automated-trading#edge-measurement#kalshi#kalshi-api#llm#machine-learning#mcp#portfolio-optimization#prediction-markets