xhs-image-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | No | Google Gemini API Key for AI cover generation |
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 |
|---|---|
| text_to_imagesB | Convert text content to a series of images with Xiaohongshu (小红书) style themes. Supported themes:
Image ratios:
|
| file_to_imagesA | Convert a local markdown or text file to a series of images. Supports .md, .txt, .text files. Automatically extracts title from the first # heading in markdown files. Cleans up markdown formatting for cleaner text display. |
| estimate_pagesA | Estimate how many pages the text will be split into without generating images |
| list_themesA | List all available themes with descriptions |
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 4 tools
Each tool has a clearly distinct purpose: estimating page count, listing themes, converting text to images, and converting files to images. There is no overlap in functionality, making selection unambiguous.
Most tool names follow a descriptive pattern with underscores, but there is a mix of verb_noun (estimate_pages, list_themes) and noun_to_noun (text_to_images, file_to_images). This is a minor deviation from a fully consistent naming convention.
With just 4 tools, the set is well-scoped for its purpose. Each tool is essential and contributes to the workflow without redundancy or bloat.
The tool set covers the full conversion lifecycle: estimating output size, selecting themes, and converting from two input methods (text and file). No critical operations are missing for the stated purpose.