Wenyan MCP Server
by
Automatically format Markdown articles and publish them to WeChat public accounts, supporting theme selection, image upload, and AI integration.
Wenyan MCP Server Overview
What is Wenyan MCP Server about?
Wenyan MCP Server enables AI assistants to automatically format Markdown articles and submit them to a WeChat public account draft box.
How to use Wenyan MCP Server?
Installation
- npm (recommended):
npm install -g @wenyan-md/mcp - Docker:
docker pull caol64/wenyan-mcp
MCP client configuration (example for Claude Desktop or any MCP client):
{
"mcpServers": {
"wenyan-mcp": {
"name": "公众号助手",
"command": "npx",
"args": ["@wenyan-md/mcp"],
"env": {
"WECHAT_APP_ID": "your_app_id",
"WECHAT_APP_SECRET": "your_app_secret"
}
}
}
}
Running
npx @wenyan-md/mcp
Provide WECHAT_APP_ID and WECHAT_APP_SECRET as environment variables. Each Markdown file must start with a front‑matter block containing at least a title; a cover image can be provided optionally.
Key features
- List and select built‑in Typora themes for article layout.
- Automatic image handling (local paths or remote URLs) and upload to WeChat.
- One‑click publish to WeChat public account draft box.
- Deep AI integration via Model Context Protocol.
- Multiple deployment options (npm, Docker).
- Extensible to other content platforms (Zhihu, Jinri Toutiao, etc.).
Use cases
- Writers focusing on content creation while AI manages formatting and posting to WeChat.
- Teams automating newsletters, blog posts, or product updates to a WeChat public account.
- AI assistants (e.g., Claude Desktop) needing a tool to manage WeChat article publishing.
FAQ
Q: Do I need a WeChat public account? A: Yes. Obtain its App ID and App Secret and add the server’s IP to the WeChat IP whitelist.
Q: How are images uploaded? A: Images referenced in the Markdown (local file path or URL) are automatically uploaded to WeChat during the publishing process.
Q: Can I use Docker instead of npm?
A: Absolutely. Pull caol64/wenyan-mcp and configure the MCP client with a Docker command as shown in the README.
Q: What front‑matter fields are required?
A: title is mandatory. cover is optional unless the article contains no images; in that case a cover image must be supplied.
Wenyan MCP Server's README
文颜 MCP Server
简介
文颜（Wenyan） 是一款多平台 Markdown 排版与发布工具，支持将 Markdown 一键转换并发布至：
- 微信公众号
- 知乎
- 今日头条
- 以及其它内容平台（持续扩展中）
文颜的目标是：让写作者专注内容，而不是排版和平台适配。
本仓库是 文颜的 MCP Server 版本，基于模型上下文协议（Model Context Protocol），旨在让 AI 助手（如 Claude Desktop）具备自动排版和发布公众号文章的能力。
文颜的不同版本
文颜目前提供多种形态，覆盖不同使用场景：
- macOS App Store 版 - MAC 桌面应用
- 跨平台桌面版 - Windows/Linux
- CLI 版本 - 命令行工具
- 👉 MCP 版本 - 本项目
- 核心库 - 嵌入 Node / Web 项目
功能特性
- 列出并选择支持的文章主题
- 使用内置主题对 Markdown 内容排版
- 自动处理并上传图片（本地 / 网络）
- 一键发布文章到微信公众号草稿箱
- 与 AI 深度集成：让 AI 帮你管理公众号的排版和发布
主题效果预览
👉 内置主题预览
文颜内置并适配了多个优秀的 Typora 主题，在此感谢原作者：
安装与集成
文颜 MCP Server 支持多种运行方式，请根据你的环境选择。
方式一：npm 安装（推荐）
直接安装到本地：
npm install -g @wenyan-md/mcp
配置 MCP Client（如 Claude Desktop）：
在你的 MCP 配置文件中加入以下内容：
{
"mcpServers": {
"wenyan-mcp": {
"name": "公众号助手",
"command": "wenyan-mcp",
"env": {
"WECHAT_APP_ID": "your_app_id",
"WECHAT_APP_SECRET": "your_app_secret"
}
}
}
}
方式二：Docker 运行（推荐）
适合部署到服务器环境，或希望环境隔离的用户。
拉取镜像：
docker pull caol64/wenyan-mcp
配置 MCP Client：
{
"mcpServers": {
"wenyan-mcp": {
"name": "公众号助手",
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-v", "/your/host/file/path:/mnt/host-downloads",
"-e", "WECHAT_APP_ID=your_app_id",
"-e", "WECHAT_APP_SECRET=your_app_secret",
"-e", "HOST_FILE_PATH=/your/host/file/path",
"caol64/wenyan-mcp"
]
}
}
}
Docker 配置特别说明：
- 挂载目录 (
-v)：必须将宿主机的文件/图片目录挂载到容器内的/mnt/host-downloads。- 环境变量 (
HOST_FILE_PATH)：必须与宿主机挂载的文件/图片目录路径保持一致。- 原理：你的 Markdown 文件/文章内所引用的本地图片应放置在该目录中，Docker 会自动将其映射，使容器能够读取并上传。
环境变量说明
无论使用哪种方式，都需要配置以下环境变量以连接微信公众号平台：
WECHAT_APP_ID：微信公众号平台的 App IDWECHAT_APP_SECRET：微信公众号平台的 App Secret
Markdown Frontmatter 说明（必读）
为了正确上传文章，每篇 Markdown 顶部需要包含 frontmatter：
---
title: 在本地跑一个大语言模型(2) - 给模型提供外部知识库
cover: /Users/xxx/image.jpg
---
字段说明：
title文章标题（必填）cover文章封面- 本地路径或网络图片
- 如果正文有至少一张图片，可省略，此时将使用其中一张作为封面
- 如果正文无图片，则必须提供 cover
关于图片自动上传
支持以下图片来源：
- 本地路径（如：
/Users/lei/Downloads/result_image.jpg） - 网络路径（如：
https://example.com/image.jpg）
微信公众号 IP 白名单
⚠️ 重要
请确保运行文颜 MCP Server 的机器 IP 已加入微信公众号后台的 IP 白名单，否则上传接口将调用失败。
配置说明文档：https://yuzhi.tech/docs/wenyan/upload
示例文章格式
---
title: 在本地跑一个大语言模型(2) - 给模型提供外部知识库
cover: /Users/lei/Downloads/result_image.jpg
---
在[上一篇文章](https://babyno.top/posts/2024/02/running-a-large-language-model-locally/)中，我们展示了如何在本地运行大型语言模型。本篇将介绍如何让模型从外部知识库中检索定制数据，提升答题准确率，让它看起来更“智能”。
## 准备模型
访问 `Ollama` 的模型页面，搜索 `qwen`，我们使用支持中文语义的“[通义千问](https://ollama.com/library/qwen:7b)”模型进行实验。
如何调试
推荐使用官方 Inspector 进行调试：
npx @modelcontextprotocol/inspector <command>
启动成功出现类似提示：
🔗 Open inspector with token pre-filled:
http://localhost:6274/?MCP_PROXY_AUTH_TOKEN=761c05058aa4f84ad02280e62d7a7e52ec0430d00c4c7a61492cca59f9eac299
(Auto-open is disabled when authentication is enabled)
访问以上链接即可打开调试页面。
- 正确填写启动命令
- 添加环境变量
- 点击 Connect
- 选择 Tools -> List Tools
- 选择要调试的接口
- 填入参数并点击 Run Tool
- 查看完整参数
赞助
如果你觉得文颜对你有帮助，可以给我家猫咪买点罐头 ❤️
License
Apache License Version 2.0
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