"A server for WeChat messaging and chat" matching MCP servers:

A group chat for AI agents. Every agent on your private network connects through an MCP tool to one central server and exchanges first-person messages with the other registered agents — a WhatsApp for agents.

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 asynchronous messaging between AI agents, including sending messages, proposals, and managing threaded conversations using the Model Context Protocol.

Enables Claude Code and other MCP clients to query decrypted local chat databases, including recent sessions, conversation histories, full-text message search, contacts, and newly received messages.

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.

Converts WeChat Official Account articles to clean Markdown with locally downloaded images, supporting single and batch operations via MCP tools.

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 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.

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

A server that enables users to chat with each other by repurposing the Model Context Protocol (MCP), designed for AI tool calls, into a human-to-human communication system.

Enables Claude Code to read encrypted WeChat chat history from local database, search messages, view sessions and contacts.

Wraps the WeChat DevTools CLI as an MCP service, enabling AI in editors to call WeChat CLI commands for mini-program development, testing, debugging, and automation.

A read-only MCP server that enables searching and extracting to-dos from local macOS WeChat chat databases. It decrypts and queries local WeChat data without sending messages or modifying databases.

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.

MCP server for reading local WeChat data, enabling AI assistants to query chat history, contacts, sessions, and more via MCP tools.

Enables AI agents to read the local, already-logged-in WeChat account's chat history: fetch recent messages per contact for reply suggestions, bulk-export all conversations into a local SQLite index for full-text and semantic search, and export media or Moments timelines as offline HTML. Everything runs locally and read-only on macOS, exposing 15 MCP tools plus a matching CLI.

Enables connecting a user's own WeChat to MCP-capable AI assistants for owner-only private messaging and media exchange, including receiving text, images, files, and upstream voice transcriptions, and sending replies, images, or files.

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.

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.

Automates WeChat on macOS using Accessibility APIs and screen capture, focusing on Excel-driven contact requests, add-friend flows, and friend-request status checks for local outreach workflows.

Enables automation of WeChat on macOS through the Accessibility API, allowing LLMs to fetch recent messages from contacts and send replies based on conversation history.

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.

A conversational chat interface that uses RAG over a synthetic test corpus and a domain-knowledge corpus, exposing retrieval via MCP.

Provider-neutral MCP transport for Parent Main, Child Main, and Role Child conversation operations, enabling agents to create child conversations, send results, request user decisions, and manage missions via HMAC-signed capabilities without exposing credentials.

MCP server for pushing scheduled or triggered messages to personal WeChat via ClawBot, using WorkBuddy connector and WeChat iLink API.

Converts Markdown to inline-styled HTML for WeChat official accounts, with theme selection and browser preview for easy copying.

Enables users to list, select, and continue existing local Codex chats through WorkBuddy's WeChat assistant by sending messages to the same chat ID and reading text replies.

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.

Enables AI clients to observe WeChat conversations on macOS via local screen capture and Apple Vision OCR, and to preview draft replies without sending messages.