wechat-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 |
|---|---|
| read_wechat_articleA | Read a WeChat Official Account (mp.weixin.qq.com) article and return its title, author and Markdown body. Use this whenever the user shares a mp.weixin.qq.com URL or asks you to summarize/read a WeChat article. Returns up to 20,000 chars by default. |
| read_multiple_wechat_articlesA | Read up to 10 WeChat articles at once and return each as Markdown. Use when the user provides a batch of URLs (e.g. from a list they want summarized). |
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 tools are clearly differentiated based on the input scale: one handles a single item, and the other handles a list of items. There is no ambiguity for an agent deciding which function to call based on the user's request format.
The naming convention is highly consistent, using the verb 'read' as the core action for both tools. The snake_case format and structural similarity make the set very easy to read and predict.
With only two tools, the set is appropriately scoped for its singular focus on article consumption. While minimal, having separate tools for single versus batch operations is a sensible division for this specific domain.
The tools cover the core 'read' lifecycle for individual and group articles. However, the surface lacks upstream functionality like searching by keyword or listing all available articles, which would make the set more robust.