WeChat Summarizer

by chatmcp · Databases · mcp-server

Query and summarize your chat messages with AI prompts.

This MCP server, developed by idoubi, enables AI assistants to query and summarize chat messages stored in a local database. Built in TypeScript, it integrates with Claude Desktop and provides a standardized interface for retrieving conversation history. The implementation stands out by offering flexible querying options and the ability to generate summaries based on custom prompts. By bridging AI models with chat logs, this server allows AI systems to analyze conversation patterns, extract insights, and provide context-aware responses. It is particularly useful for personal knowledge management, conversation analysis, and building more contextually-aware AI assistants that can reference and learn from past interactions.

Source: https://github.com/chatmcp/mcp-server-chatsum

Install

git clone https://github.com/chatmcp/mcp-server-chatsum

Works with

claudeCursorWindsurf

Tags: mcp-server

⭐ 1,036 GitHub stars · Source: pulsemcp

About Databases MCP servers and Claude skills

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Frequently asked questions

How do I install WeChat Summarizer?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support WeChat Summarizer?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is WeChat Summarizer free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.