A local-first MCP server that lets agents search and summarize a user's own WeChat history, with stable pagination, bulk chat workflows, unread/event queries, and gated enrichment tools.
Enables AI agents to query local WeChat chat data through read-only MCP tools, including sessions, messages, contacts, search, and statistics, with everything processed locally.
An unofficial experimental local MCP server that lets AI clients work with an already logged-in Windows Weixin desktop client, providing bounded conversation and message reads, group and message search, polling of up to 16 selected chats, guarded text and attachment submission, and image/file viewing handoffs. It also exposes hybrid Computer Use prompts for native mention handoffs, while remeasuring the window, DPI, and target controls on each action and failing closed when evidence is insufficient.
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.