md2card-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MD2CARD_API_KEY | Yes | 您的API密钥,从md2card.cn获取 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| md2card_apiC | 将 Markdown 文档转换为精美的知识卡片 |
| wechat_scraperB | 抓取微信公众号文章并转换为 Markdown 格式 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clear, non-overlapping purposes: md2card_api converts Markdown to knowledge cards, while wechat_scraper fetches WeChat articles and converts them to Markdown. An agent can easily distinguish when to use each.
The naming pattern is inconsistent: 'md2card_api' uses an acronym-plus-suffix style, while 'wechat_scraper' uses a plain noun phrase. Neither follows a verb_noun convention, and the two names have no shared structural pattern.
With only two tools, the server feels minimal. However, the niche scope (Markdown-to-card conversion with a WeChat import pathway) arguably justifies a small surface, but it is still on the borderline of being too thin.
The core workflow is covered: scrape WeChat content to Markdown, then convert Markdown to cards. Minor gaps exist (e.g., no direct URL-to-card conversion or card customization options), but the primary pipeline is functional.