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Access Xiaofenshen’s read-only APIs for shared content and docs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "xiaofenshen-mcp-server" yet — see the docs or source repo.
Use the Xiaofenshen MCP tools to read shared public content and summarize it into key points.
A summary of the shared content, key takeaways, or text ready for further processing.
List the image prompt templates provided by Xiaofenshen and group them by use case.
A list of available image prompt templates with brief category notes.
Fetch Xiaofenshen product documentation and extract the core features and usage notes.
Product documentation content with core features and usage notes.
When developers need an agent to read external public information, this MCP tool connects to Xiaofenshen’s read-only APIs. It fits content lookup, doc retrieval, and template queries.
Product managers or content creators can pull product docs and shared content directly while organizing materials, reducing manual searching. They can also list image prompt templates.
It is an MCP server that exposes Xiaofenshen’s public read-only APIs to agents. It is mainly used to read shared content, list image prompt templates, and fetch product documentation.
Based on the description, it provides read-only access and no write operations. It can read shared content, view image prompt templates, and fetch product documentation.
The excerpt does not specify installation, runtime, or authentication requirements; it only confirms public read-only access. See the source repository for integration details.
Turn any OpenAPI API into callable AI tools with authentication support.
Manage XiaoZhi agents and update their configuration settings.
Access Feishu docs, sheets, wiki, and IM through standardized MCP tools.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Read Feishu docs and wiki pages with content and metadata via MCP.
Automatically publish text, image, and video posts to Xiaohongshu efficiently.