Baidu Map MCP Server (Python)
搭建Python虚拟环境
我们推荐通过uv构建虚拟环境来运行MCP server,关于`uv你可以在这里找到一些说明。
按照官方流程,你会安装Python包管理工具uv。除此之外,你也可以尝试其他方法(如Anaconda)来创建你的Python虚拟环境。
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通过uv添加mcp依赖
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--verbose
uv add "mcp[cli]"
验证mcp依赖是否安装成功,执行如下命令
uv run mcp
当出现下图时代表安装成功
通过uv安装python,最低版本要求为3.11
uv python install 3.11
获取 MCP Server
前往百度地图 Mcp Server 官方开源仓库下载
配置本地项目
通过uv创建一个项目
uv init mcp_server_baidu_maps
将map.py拷贝到该目录下,通过如下命令测试mcp server是否正常运行
uv run --with mcp[cli] mcp run {YOUR_PATH}/mcp_server_baidu_maps/map.py
# 如果是mac,需要加转义符
uv run --with mcp\[cli\] mcp run {YOUR_PATH}/mcp_server_baidu_maps/map.py
如果没有报错则MCP Server启动成功
在Cursor中使用
打开Cursor配置,在MCP中添加MCP Server
在文件中添加如下内容后保存
{
"mcpServers": {
"baidu-map": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"{YOUR_PATH}/mcp_server_baidu_maps/map.py"
],
"env": {
"BAIDU_MAPS_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
回到配置,此时百度MCP Server已经启用
测试
行程规划:
Metadata
Release files for nipanbo-mcp-server-baidu-maps 0.1.2
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