ChatSum: Instant Search & Smart Summaries

ChatSum: Instantly search & summarize chats. No more endless scrolling—turn messages into clear insights. Perfect for busy pros who hate wasting time.

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✨ Communication

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Ranked in the top 6% of all AI tools in its category

About ChatSum

What is ChatSum: Instant Search & Smart Summaries?

ChatSum is an MCP server designed to streamline chat message management through real-time search and AI-driven summarization. By integrating with chat databases, it enables users to query conversations, extract key insights, and generate contextual summaries based on customizable prompts. The tool bridges the gap between raw chat data and actionable information, offering a lightweight solution for developers and end-users alike.

How to use ChatSum: Instant Search & Smart Summaries?

To activate ChatSum, configure the chat database path in a .env file and run dependency installation commands. After building the server, integrate it into platforms like Claude Desktop via JSON configuration files. Debugging is supported through the MCP Inspector utility, which provides browser-based diagnostics. Users can execute chat message queries using designated API endpoints, with parameters tailored to specific search criteria or summary requirements.

ChatSum Features

Key Features of ChatSum: Instant Search & Smart Summaries?

Dynamic chat message querying with parameterized search filters
Adaptive summarization engine that refines outputs based on user-defined prompts
Automatic development environment rebuilding via watch mode
Integrated debugging support through browser-accessible tools
Cross-platform compatibility with macOS and Windows configurations

Use cases of ChatSum: Instant Search & Smart Summaries?

ChatSum FAQ

FAQ from ChatSum: Instant Search & Smart Summaries?

Q: How do I update the chat database location?
A: Modify the CHAT_DB_PATH variable in your .env file before rebuilding the server.

Q: Can I use this on Linux?
A: While untested, the node-based architecture suggests compatibility with minor configuration adjustments.

Q: What if queries return too many results?
A: Narrow results using timestamp ranges, keywords, or adjust the query prompt parameters for better specificity.

Q: Where can I report issues?
A: Join the official Telegram group or Discord server for support and updates.

Content

mcp-server-chatsum

This MCP Server is used to summarize your chat messages.

中文说明

preview

Before you start > > move to chatbot directory, follow the README to setup the chat database. > > start chatbot to save your chat messages.

Features

Resources

Tools

query_chat_messages - Query chat messages
- Query chat messages with given parameters
- Summarize chat messages based on the query prompt

Prompts

Development

Set up environment variables:

create .env file in the root directory, and set your chat database path.

txt CHAT_DB_PATH=path-to/chatbot/data/chat.db

Install dependencies:

bash pnpm install

Build the server:

bash pnpm build

For development with auto-rebuild:

bash pnpm watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

json { "mcpServers": { "mcp-server-chatsum": { "command": "path-to/bin/node", "args": ["path-to/mcp-server-chatsum/build/index.js"], "env": { "CHAT_DB_PATH": "path-to/mcp-server-chatsum/chatbot/data/chat.db" } } } }

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

bash pnpm inspector

The Inspector will provide a URL to access debugging tools in your browser.

Community

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