bm.md — 面向微信、知乎、掘金的中文 Markdown 处理工具：渲染、校验、解析与文本抽取，提升公众号与社区发布效率。
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Sequential Thinking Tools
Leverage structured decision making and advanced problem solving techniques for step-by-step analysis and adaptive strat
Jira
Integrate Jira software with AI to automate tasks, manage bugs, and streamline your development workflow efficiently.
Azure DevOps
Boost your productivity by managing Azure DevOps projects, pipelines, and repos in VS Code. Streamline dev workflows wit
AppleScript
AppleScript MCP server lets AI execute apple script on macOS, accessing Notes, Calendar, Contacts, Messages & Finder via
Atlassian Cloud
Access Confluence pages and Jira in the cloud with Atlassian API. Integrate effortlessly using the REST API for Jira.
Strong directory entry: bm.md surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated bm.md against two servers with overlapping tools; this profile had the clearer scope statement.
bm.md is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
bm.md reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend bm.md for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, bm.md benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
bm.md has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: bm.md is the kind of server we cite when onboarding engineers to host + tool permissions.
We wired bm.md into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
bm.md reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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Share your MCP server with the developer community
Select a client to integrate this server.
Claude Desktop configuration
by {
"mcpServers": {
"bm.md": {
"url": "https://bm.md/mcp",
"env": null,
"headers": null
}
}
}A markdown processing server that renders, formats, and optimizes markdown content specifically for Chinese publishing platforms like WeChat, Zhihu, and Juejin.
bm.md is a community-built MCP server published by miantiao-me that provides AI assistants with tools and capabilities via the Model Context Protocol. bm.md — 面向微信、知乎、掘金的中文 Markdown 处理工具：渲染、校验、解析与文本抽取，提升公众号与社区发布效率。 It is categorized under productivity.
You can install bm.md in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
更好用的 Markdown 排版助手｜一键适配微信公众号、知乎专栏、掘金、网页与图片。
# 克隆项目
git clone https://github.com/miantiao-me/bm.md.git
cd bm.md
# 安装依赖
pnpm install
# 启动开发服务器
pnpm dev
访问 http://localhost:2663 开始使用。
#阿里云ESA Pages #阿里云云工开物
本项目由阿里云ESA提供加速、计算和保护: 
阿里云部署配置：
安装命令: pnpm install
构建命令: pnpm run build
根目录: /
静态资源目录: dist/client
函数文件路径: dist/server/server.js
其他环境部署配置参考 Nitro 文档。
欢迎提交 Issue 和 Pull Request。
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.