"Automated WeChat public account posting tools" matching MCP servers:

Enables AI applications to manage WeChat Official Accounts through standardized tools for authentication, media uploads, draft creation, article publishing, and permanent material management.

Enables MCP clients like WorkBuddy to connect to the WeChat Official Account API, supporting connection checks, article bundle validation, image uploads, and draft creation and querying, while leaving publishing to the author.

Enables macOS WeChat desktop clients to read conversations via OCR, retrieve encrypted session memory, and perform controlled message sending through MCP with dry-run and supervised safeguards.

Enables searching and scraping job postings from supported sites via Playwright, extracting details, registering them to a Notion database with deduplication, and sending tiered collection summaries to Discord.

Enables Claude Code to query locally decrypted WeChat 4.0 databases through tools for listing recent sessions, retrieving chat history, searching messages across the whole database, looking up contacts, and fetching messages that arrived since the last call. Requires prior database key extraction and decryption.

Enables Claude AI to query decrypted WeChat 4.0 data, including recent sessions, chat history, full-text message search, contacts, and newly received messages since the last call.

Enables AI Agents to retrieve WeChat public-account article content from HTTPS links, returning the title, account name, and full plain text while saving HTML and TXT archives locally. It is subject to WeChat verification, login, and paywall limits.

Enables reading public WeChat articles through HTTP text extraction with metadata, pagination, and image links, automatically falling back to a visible Chrome window when a verification page appears so the user can complete any captcha manually.

An MCP server for sending and receiving WeChat messages, built on Tencent's iLink bot protocol.

Enables AI to import, format, check originality, and save articles as drafts to WeChat Official Account draft box, without auto-publishing.

Enables 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.

Enables crawling WeChat Official Account articles via the mp.weixin.qq.com search interface, including account search, article listing, incremental crawling, and fetching articles as Markdown with local SQLite storage.

MCP server for reading WeChat public account articles by reusing authenticated browser sessions, handling captchas and rate limits.

Enables AI agents to control WeChat through MCP protocol, including sending messages, managing contacts, and searching messages.

Enables agents to retrieve public WeChat Official Account articles as clean Markdown or JSON and parse saved WeChat HTML through MCP tools.

Exposes a Windows desktop WeChat 4.1.6+ client as MCP tools, letting assistants read and search chat history by date, send messages or files to friends and groups, list contacts and group members, and view or post Moments. All actions run through UI automation without reverse-engineering hooks, returning structured JSON results that MCP clients such as Claude Desktop, Cursor and Cherry Studio can call.

Enables AI assistants to control WeChat mini-programs running in WeChat Developer Tools through MCP tools. Provides automation capabilities for launching, navigating, querying, and interacting with pages and elements.

Local macOS MCP server for verified WeChat reading, sending, media, and token-efficient allowlisted monitoring. Its Docker image supports registry introspection only; real WeChat automation requires macOS Accessibility.

A drop-in Context7 MCP proxy that manages multiple API keys, balancing quota usage, caching responses, and providing failover for the standard Context7 tools. It lets MCP clients like OpenCode use the standard Context7 tools without worrying about account selection or quota limits.

A Model Context Protocol server that allows AI agents to post tweets and threads to X (Twitter) via two tools: post_tweet and post_thread.

Renders Markdown into WeChat official account-ready HTML with inline styles, themes, and clipboard integration, exposing rendering, theming, and file-saving tools to MCP clients.

Enables LLMs to automate Google Blogger content management by providing tools for single and batch post creation via the Blogger API. It supports secure OAuth2 authentication and allows for seamless blog integration through the Model Context Protocol.

Enables DeepSeek Harness to run bounded archive operations—diagnose, status, sync, and verify—against a local macOS chat database with integrity and privacy protections.

Enables local MCP clients to inspect WeChat chats, retrieve and search indexed messages, and submit tracked send-message tasks through native desktop automation on macOS and Windows.

Enables OpenAI Codex users to drive coding tasks remotely from their phone chat: sending messages, images, files and voice to Codex, and receiving task-completion notifications with Markdown-formatted results and media. Includes 24-hour window queueing, typing indicators, login/status tools, and watchdog-backed reliability so nothing is silently dropped.

Bridges WeChat and Claude Code via MCP, enabling message sending, receiving, and automated processing through tools like wechat_poll and wechat_send.

Enables fetching WeChat public account articles, caching them in SQLite, and reading them as paginated Markdown via MCP, with optional DeepSeek summarization and HTML/Markdown export.

An MCP server that lets an LLM read and drive the macOS WeChat client through the Accessibility API, without reverse-engineering or injected code. It supports listing chats, opening conversations, reading messages, sending actions, and saving media locally.

Enables MCP clients to control the Windows WeChat desktop app, including reading conversations, sending messages, searching contacts, and monitoring new messages via UI automation.

Enables AI clients to list chats and groups, read full group history, search across message shards, and access summaries or system events from local WeChat 4.x data through a read-only, offline MCP interface.