About mcp-server-chatsum
mcp-server-chatsum is an MCP server for users with a configured chat database. It queries messages by parameters and summarizes matching content based on a prompt.
Key features
- 01Query messages by parameters
- 02Summarize messages from a prompt
- 03Read from a chat database
Use cases
- 01Find past messages matching criteria
- 02Summarize chat history by topic
MCP support
It exposes chat-message query and summarization tools to MCP clients. The chat database path must be configured.
Details
From the project READMEmcp-server-chatsum
This MCP Server is used to summarize your chat messages.

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.
CHAT_DB_PATH=path-to/chatbot/data/chat.db
- Install dependencies:
pnpm install
Build the server:
pnpm build
For development with auto-rebuild:
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
{
"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:
pnpm inspector
The Inspector will provide a URL to access debugging tools in your browser.
Community
About the author
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.