ariadng/metatrader-mcp-server
❌ 实测失败serverPythonMIT★ 847
Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform
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 metatrader5==5.0.45 has no wheels with a matching Python ABI tag (e.g., `cp312`) and only the following versions of metatrader5 are available:
metatrader5<=5.0.45
metatrader5>=5.0.47
we can conclude that metatrader5>=5.0.45,<5.0.47 cannot be used.
And because metatrader5>=5.0.47 has no wheels with a matching platform tag (e.g., `manylinux_2_41_x86_64`), we can conclude that metatrader5>=5.0.45 cannot be used.
And because all versions of metatrader-mcp-server depend on metatrader5>=5.0.45 and you require metatrader-mcp-server, we can conclude that your requirements are unsatisfiable.
hint: You require CPython 3.12 (`cp312`), but we only found wheels for `metatrader5` (v5.0.45) with the following Python ABI tags: `cp36m`, `cp37m`, `cp38`, `cp39`, `cp310`, `cp311`
hint: Wheels are available for `metatrader5` (v5.0.6231) on the following platform: `win_amd64`- 安装方式
- uvx
- 包名
- metatrader-mcp-server
- 解析依据
- pypi package lookup
- 沙箱
- docker
- 总耗时
- 107119 ms
- 安装耗时
- 107119 ms
- 探针版本
- 1.0.0
- 实测时间
- 2026-11-11 15:02:32
如何使用
1安装 / 启动命令uv / uvx
uvx metatrader-mcp-server
2客户端配置Claude Desktop / Cursor
{
"mcpServers": {
"ariadng-metatrader-mcp-server": {
"command": "uvx",
"args": [
"metatrader-mcp-server"
]
}
}
}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:pypi package lookup,沙箱实测未通过。
仓库信息
- 全名
- ariadng/metatrader-mcp-server
- 分类
- server
- Stars
- 847
- Forks
- 274
- 主要语言
- Python
- License
- MIT
- 最近推送
- 2026-03-28
- 仓库创建
- 2025-04-10
- 首次收录
- 2026-11-10
- 最近抓取
- 2026-11-10
#ai#finance#investment#llm#mcp#metatrader#quantitative-finance#trading