A
licenseA
qualityC
maintenanceEnables MCP-compatible AI clients to read WeChat Official Account articles directly by fetching and converting them into clean structured Markdown, including single and batch article retrieval.
2
1
MIT
wechat-article-fetcher
by mrlong0129
Related Servers
Alternatives to wechat-article-fetcher
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityFmaintenanceConverts WeChat Official Account articles to clean Markdown with locally downloaded images, supporting single and batch operations via MCP tools.103-
- FlicenseNot gradedqualityDmaintenanceEnables parsing and extracting content from WeChat public account articles using browser simulation, supporting multiple output formats (JSON, Markdown, HTML) and media resource extraction.-
- FlicenseNot gradedqualityDmaintenanceExtracts title, author, and content (in Markdown format) from WeChat official account articles via URL, supporting both MCP stdio and HTTP server modes.1-
- AlicenseNot gradedqualityBmaintenanceEnables AI to read full-text WeChat Official Account articles, returning title, author, publish time, and clean Markdown content.11 npm6AGPL 3.0
- AlicenseAqualityFmaintenanceEnables AI agents to publish articles to WeChat Official Account (微信公众号). Supports image upload, draft creation, and publishing via standardized MCP protocol.51ISC
TDQS
A3.5/5.0
Scored across 2 tools
Disambiguation4/5
The two tools are largely distinct: fetch_wechat_article retrieves content over the network while parse_wechat_html works on HTML the caller already has. There is minor overlap since both ultimately yield parsed article content, but the descriptions clearly signal the network/no-network boundary.
Naming Consistency5/5
Both names follow a clean verb_noun snake_case pattern (fetch_wechat_article, parse_wechat_html) with a shared domain prefix. No mixing of conventions.
Tool Count4/5
Two tools is thin, but for a narrowly scoped fetcher/parser utility each tool earns its place with a distinct mode of operation. It is appropriately minimal rather than padded.
Completeness4/5
The pair covers the core lifecycle: online fetch with formatting/truncation options and offline parsing of saved pages. Only minor gaps exist, such as no batch/multi-URL fetching or image-specific retrieval.
Maintenance
ActivityMaintained
ResponsivenessNo issues