"A method for finding public WeChat accounts" matching MCP servers:

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 AI assistants to manage multiple Outlook/Microsoft 365 mailboxes simultaneously through MCP tools, with local OAuth token storage.

MCP server for multiple Google accounts, providing tools for Gmail, Drive, Calendar, Tasks, and Contacts with multi-account support and cross-MCP file handoff.

A production-ready MCP server for Method CRM API integration. It enables LLMs to interact with Method CRM data through tools for tables, files, users, events, and API key management.

An MCP server that provides calculations for 11 betting methods including Martingale, Fibonacci, and Kelly Criterion. Enables users to initialize sessions, record wins/losses, and get next bet amounts through natural language.

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.

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

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

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.

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.

A Model Context Protocol server that enables AI tools to automatically publish articles to WeChat Official Accounts, supporting Markdown-to-HTML conversion, image handling, and both preview and official publishing modes.

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.

MCP server that enables AI agents to fetch and summarize WeChat public articles, supporting export to HTML, Markdown, Obsidian, Notion, and OneNote.

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 AI agents to crawl, access, and analyze WeChat Official Account articles using Selenium and the Model Context Protocol. It provides specialized tools for dynamic content retrieval, image processing, and automated article analysis.

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.

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.