Chatmcp, developed by Daodao97, is an MCP server tool primarily known as ChatSum MCP Server. This free, mcp-platform utility is built with JavaScript/TypeScript and runs on Node.js. It functions as a specialized MCP server, designed to connect to a local SQLite database. Its core purpose is to enable AI assistants to query and summarize saved chat messages, offering a powerful way to interact with personal conversation histories. Chatmcp is distributed as a Node.js package, ensuring broad compatibility across various systems.

What does Chatmcp connect to?

Chatmcp, specifically the ChatSum MCP Server, connects to a local SQLite database. This connection allows it to query and summarize saved chat messages directly from the user's stored conversations. It operates as a specialized component within the MCP server ecosystem. The server is built using JavaScript/TypeScript, running on the Node.js runtime environment. Its setup requires it to be managed as a Node.js package, indicating its reliance on standard Node.js project structures for deployment and operation.

Core features and tools

The ChatSum MCP Server exposes a specific callable tool: query_chat_messages. This tool's design enables querying chat messages using specified parameters and generating summaries based on a provided prompt. Chatmcp supports the stdio (Standard Input/Output) transport protocol. It is compatible with Claude Desktop via stdio integration. Furthermore, any MCP client that implements the standard via JSON-RPC handshakes and supports stdio transport, such as Cursor, Windsurf, Jan AI, Azure AI Agents, and Amazon Quick Agents, can connect.

Who is it for?

Chatmcp targets users who need to query and summarize their local chat histories with an AI assistant. It provides a structured way for AI to access and process past conversations stored in a local SQLite database through natural language queries. This capability is useful for individuals seeking to gain insights from their personal communication archives without externalizing data. This is not the right fit if you require a remote server with advanced authentication protocols like OAuth 2.1.

How to get started

The server authenticates using credentials from environment variables. It supports the stdio transport protocol and requires the CHAT_DB_PATH environment variable to configure the path to the local SQLite database.

Use cases

• Enabling an AI to access and summarize past conversations stored in a local SQLite database via natural language queries.

Chatmcp offers a focused solution for AI-powered local chat history analysis. Its reliance on a local SQLite database and stdio transport makes it suitable for desktop AI client integrations. The primary tool, query_chat_messages, effectively extracts and summarizes chat data. It provides a direct method for users to interact with their personal data through AI.