How do I use MCP X Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP X Server draft a tweet about the new product launch" 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.

MCP X Server

What can you do with MCP X Server? Give it a sentence or a topic, and it will help you write and refine a tweet, then publish it to X.

How to run with STDIO

Local

Configure the MCP server in mcp.json.

{
    "mcpServices": {
        "x-mcp": {
            "command": "uv",
            "args": [
                "run",
                "--with",
                "fastmcp",
                "--with",
                "pydantic-ai",
                "--with",
                "pydantic-ai-slim[duckduckgo,openai]",
                "--with",
                "dotenv",
                "--with",
                "python-twitter-v2",
                "fastmcp",
                "run",
                "mcp_x_server/server.py"
            ],
            "env": {
                "CONSUMER_KEY": "*******************",
                "CONSUMER_SECRET": "*******************",
                "ACCESS_TOKEN": "*******************",
                "ACCESS_SECRET": "*******************",
                "DEEPSEEK_API_KEY": "*******************"
            }
        }
    }
}

Docker

Configure the MCP server in mcp.json.

{
    "mcpServices": {
        "x-mcp-docker": {
        "command": "docker",
        "args": [
          "run",
          "-i",
          "--rm",
          "--name",
          "mcp-x-server",
          "-e",
          "CONSUMER_KEY",
          "-e",
          "CONSUMER_SECRET",
          "-e",
          "ACCESS_TOKEN",
          "-e",
          "ACCESS_SECRET",
          "-e",
          "DEEPSEEK_API_KEY",
          "wylu1037/mcp-x-server:latest"
        ],
        "env": {
          "CONSUMER_KEY": "********************************",
          "CONSUMER_SECRET": "********************************",
          "ACCESS_TOKEN": "********************************",
          "ACCESS_SECRET": "********************************",
          "DEEPSEEK_API_KEY": "sk-********************************"
        }
      }
    }
}

UVX

Configure the MCP server in mcp.json.

{
    "mcpServices": {
        "mcp-x-server": {
        "command": "uvx",
        "args": [
          "mcp-x-server"
        ],
        "env": {
          "CONSUMER_KEY": "********************************",
          "CONSUMER_SECRET": "********************************",
          "ACCESS_TOKEN": "********************************",
          "ACCESS_SECRET": "********************************",
          "DEEPSEEK_API_KEY": "sk-********************************"
        }
      }
    }
}

Run with SSE

Run MCP server

fastmcp run --transport sse mcp_x_server/server.py

Configure the MCP server in mcp.json.

{
    "mcpServices": {
        "mcp-x-server": {
            "url": "http://localhost:8000/sse"
        }
    }
}

Publish to PyPI（发布到 Python 包管理中心）

推荐使用 uv 一站式完成构建和发布，本项目已经包含 pyproject.toml 与 uv.lock，适合这种方式。

1. 安装 uv（如尚未安装）

curl -LsSf https://astral.sh/uv/install.sh | sh

或根据官方文档选择适合你平台的安装方式。

2. 更新版本号

在 pyproject.toml 的 [project] 部分更新 version 字段，避免与已发布版本重复。

你也可以使用 uv 自动修改版本号，例如：

uv version --bump patch

3. 清理旧的构建产物（可选）

rm -rf dist/ build/ *.egg-info

4. 使用 uv 构建发行包

uv build

构建完成后，发行包会生成在 dist/ 目录下（.whl 和 .tar.gz）。

5. 配置 PyPI 凭据

推荐使用 PyPI 的 API Token（而不是用户名/密码），并通过环境变量提供给 uv：

export UV_PUBLISH_TOKEN="pypi-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"

6. 使用 uv 发布到 PyPI

uv publish

如需发布到 TestPyPI，可在 pyproject.toml 中配置 [[tool.uv.index]]，然后：

uv publish --index testpypi

说明：
传统的 python -m build + twine upload 流程同样可用，只是这里更推荐使用 uv；
本仓库还保留了 python setup.py upload 命令，会自动构建并通过 twine 上传包，同时推送 git tag，一般仅在你明确需要旧流程时使用。

MCP X Server

MCP X Server

How to run with STDIO

Local

Docker

UVX

Run with SSE

Publish to PyPI（发布到 Python 包管理中心）

1. 安装 uv（如尚未安装）

2. 更新版本号

3. 清理旧的构建产物（可选）

4. 使用 uv 构建发行包

5. 配置 PyPI 凭据

6. 使用 uv 发布到 PyPI

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