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

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

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

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

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.

WeChat Channels MCP by SocialDataX for videos and image posts, comments, creator profiles, speech-to-text transcripts, and WeChat Official Account articles.

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.

A local MCP server that enables managing WeChat Official Account content through the logged-in web session, including reading published articles and analytics, uploading images, and creating drafts after explicit confirmation.

Enables 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.

Enables AI tools to preview and publish Markdown articles to WeChat Official Accounts, automatically converting content into WeChat-optimized HTML and handling cover images. Also lets users query publish status and read/like/comment statistics through natural language.

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

Enables batch validation of public t.me links without a Telegram account or API key, reporting whether chats exist, group versus channel type, member counts, and current online users. It also provides a curated demo sample of Russian B2B marketplace chats and details about accessing the full chat base.

Enables interaction with Meta's messaging APIs (WhatsApp, Messenger, Instagram) for sending messages, managing templates, and handling webhooks via natural language.

Enables publishing HTML articles and image messages to WeChat Official Account drafts via LLM tool calls, with automatic image upload and URL replacement.

Enables agents to search and read posts, images, and limited comments across Xiaohongshu, Weibo, Zhihu, and WeChat Official Accounts, with local OCR and traceable sources.

Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

Enables saving articles to WeChat Official Account drafts with support for rich text, automatic image upload, and Markdown rendering including Mermaid diagrams.

Enables management of WeChat Official Accounts by supporting draft creation, image uploads, and content publishing via the MCP protocol. It provides tools for interacting with the WeChat API, including secure token caching and draft list management.

Enables LinkedIn profile reads and post operations through a local-first MCP server, with OAuth token management and approval-friendly tools for OpenWorker.

Free Remotion video templates, creative guides and render diagnostics. No API key for local tools; optional paid hosted Studio workflows. Start with get_capabilities.

Enables AI assistants to interact with WhatsApp through the WSAPI service, supporting comprehensive messaging, contact management, group operations, and account management functionality. Allows sending various media types, managing chats, and controlling WhatsApp sessions through natural language.

Enables AI assistants to interact with LinkedIn and LinkedIn Sales Navigator for searching profiles, managing leads, and handling messaging via cookie-based authentication. It supports professional networking tasks such as sending connection requests and retrieving account details through the Model Context Protocol.

MCP server for Takes, a free, open-source Mac teleprompter and recorder for talking-head videos. It lets an AI assistant write scripts and storyboards, manage takes, make edits and draft the posts for LinkedIn, X, YouTube and Shorts.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Enables MCP-capable models to read QQ messages, reply in group and private chats, send images and favorite stickers, poke users, and manage pacing, deduplication, and concurrency during ongoing chat tasks through a local SnowLuma OneBot interface.

Enables users to search Reddit by keyword or subreddit, read thread URLs with comments, filter and sort results, and receive flat post and comment rows without needing a Reddit login or API key.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

Lets an MCP client read comment threads on your own YouTube channel, prepare replies, moderate or hide comments, and query YouTube Analytics reports. Every publishing or moderation action is held for explicit user confirmation before it takes effect.

MCP Server for notify to telegram / weixin