"Information about WeChat messaging platform" matching MCP servers:

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

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

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 (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

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.

Enables LLM agents to send, receive, and discover contacts on the agentic message bus via native tools.

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

Enables users to retrieve GitLab commit records and automatically generate daily work reports that can be sent to WeChat Work groups. Supports querying commits by date and user, with seamless enterprise messaging integration.

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.

Enables AI assistants to interact with Cisco Webex messaging through 52 comprehensive tools covering messages, rooms, teams, people management, webhooks, and enterprise features. Supports both personal and enterprise Webex environments with complete API coverage for messaging operations.

Enables sending emails via Amazon SES, SMS/MMS/RCS messages through AWS End User Messaging, and sharing files via CloudFront-signed download links, all from AI assistants like Claude Code or Claude Desktop.

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

Enables agents to access messaging platforms through MCP using a browser extension and native messaging bridge, supporting chat window inspection and user-approved draft input probes.

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 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.

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