Stata Executor MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Stata Executor MCPrun inline: summarize mpg"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Stata 执行器 (Stata Executor)
stata_executor 是一个面向 Agent 的本地 Stata 执行 MCP server,让 Agent 具备运行 do 脚本/内联命令并读取稳定执行结果的能力。
它返回两类信息:一类是稳定的执行事实,另一类是可直接给模型消费的干净实证结果正文。它不负责解释经济学或实证结果。
安装
uv syncRelated MCP server: Stata MCP Server
配置
stata_executor 通过 MCP 启动 JSON 的 env 字段注入环境变量:
STATA_EXECUTOR_STATA_EXECUTABLE: Stata 可执行文件路径(必填)STATA_EXECUTOR_EDITION: 版本(可选,mp/se/be,默认mp)
示例:
{
"mcpServers": {
"stata-executor": {
"command": "D:/Developments/PythonProject/Stata-Executor-MCP/.venv/Scripts/python.exe",
"args": ["-m", "stata_executor"],
"cwd": "D:/Developments/PythonProject/Stata-Executor-MCP",
"env": {
"STATA_EXECUTOR_STATA_EXECUTABLE": "D:/Program Files/Stata17/StataMP-64.exe",
"STATA_EXECUTOR_EDITION": "mp"
}
}
}
}启动命令:python -m stata_executor。
暴露的工具 (Tools)
doctor: 检查环境与配置run_do: 执行现有的 .do 文件run_inline: 执行单条或多条 inline 命令
结果结构 (Result Shape)
run_do / run_inline 返回的结构化内容 (structuredContent) 包含以下字段:
status: 执行状态 (succeeded,failed)error_kind: 失败时的错误分类(bootstrap_error/input_error/timeout/stata_parse_or_command_error/stata_runtime_error/artifact_collection_error),成功时为nullresult_text: 过滤命令回显后的完整结果正文,面向模型直接消费diagnostic_excerpt: 失败时围绕末次命令与错误行的诊断片段artifacts: 本次执行新增或变更的产物绝对路径列表
doctor 返回:
ready: 配置与可执行文件是否就绪errors: 未就绪时的错误清单(就绪时为空列表)
执行失败时响应的 isError=true 且仍然返回完整 structuredContent,便于 Agent 基于诊断字段进行恢复。
测试
python -m unittest discover -s tests -vThis server cannot be deployed
Maintenance
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