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tia MCP server

MCP Server

TIA MCP Server是一个基于Python的服务器应用,使用uv进行依赖管理,支持Docker容器化部署。

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0

提示词数

0

GitHub Stars

0

资源数

0
依赖管理DockerSession认证本地部署Python

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

作者 / 组织

cadugrillo

提供方

cadugrillo

最后核验

2026/5/17 20:23

快速接入

先看主来源和安装命令,再打开仓库或文档;下面只保留这个条目的关键接入事实。

详细介绍

TIA MCP 服务器

This project is a Python application managed with [uv](https://github.com/astral-sh/uv) and requires Python 3.13.

快速概览

- Entry point: `main.py` (calls `mcp.run(...)` in `server.py`).
- Dependency manager: `uv` with `pyproject.toml` and `uv.lock` present.

前提条件

  1. 安装Python 3.13

- 从 https://www.python.org/downloads/ 下载并安装。在 Windows 上,安装程序中请勾选“将 Python 添加到 PATH”。

  1. (可选但建议)如果您计划运行Docker镜像,请安装Docker。A. Dockerfile 已包含。

设置——创建并使用虚拟环境

It is recommended to create a virtual environment per-project. Examples below show PowerShell, Command Prompt (cmd.exe), and macOS/Linux shells.

Windows (PowerShell)

Create venv

python -m venv .venv

If you get a script execution error when enabling the venv, run this once in the same session:

Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope Process

Activate the venv

.\.venv\Scripts\Activate.ps1

Upgrade pip and install uv

python -m pip install --upgrade pip pip install uv

Sync dependencies from uv.lock (preferred)

uv sync

Alternatively, if your project provides a requirements file you can use:

uv pip install -r requirements.txt


Windows (Command Prompt)

python -m venv .venv .\.venv\Scripts\activate.bat python -m pip install --upgrade pip pip install uv uv sync


macOS / Linux

python3 -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip pip install uv uv sync


Notes about `uv sync`:
- `uv sync` reads your lockfile (`uv.lock`) and installs pinned versions into the active environment. This is the preferred way to reproduce a known-good environment.
- If you change dependencies in `pyproject.toml`, update the lock with `uv lock` (or your normal `uv` workflow) and then run `uv sync` on other machines.

## Running the application

With the virtual environment active you can run:

uv python main.py

or, with the venv active, simply

python main.py


The server uses an MCP transport; `main.py` currently calls `mcp.run(transport="streamable-http")`. Adjust runtime flags or env vars as needed for your deployment.

## Docker (optional)

A `Dockerfile` is provided for building a container image. Build and run (example):

build (from repository root)

docker build -t tia-mcp-server:latest .

run and map port 8000 (adjust if your app uses another port)

docker run --rm -it -p 8000:8000 tia-mcp-server:latest


## Git housekeeping

- Add `__pycache__/` to `.gitignore` to avoid committing compiled bytecode. If caches are already tracked, untrack them with your Git client or the PowerShell command provided in the repository's docs.

## Troubleshooting

- If `uv sync` fails to install packages, ensure the virtual environment is activated and that you have a working internet connection. Check `uv.lock` is present and up to date.
- On Windows PowerShell, if activation fails due to execution policy, run the `Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope Process` command shown above.

## Further reading

- uv: https://github.com/astral-sh/uv

目录标签

目录标签

依赖管理DockerSession认证本地部署Python服务器

接入字段

传输方式(transport,传输协议)

未说明

鉴权方式(authType,认证方式)

session

工具数量(toolCount,工具数)

0

资源数量(resourceCount,资源数)

0

提示词数量(promptCount,提示词数)

0

权限和风险

未说明session部署方式未说明

接入前请确认传输方式、认证方式和部署位置,并根据实际工具能力限制访问范围。

安装前确认

不要直接授予不必要的文件、网络或账号权限;先核对安装命令和配置内容。

仍需确认:installCommand

来源信息

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