Chatmcp MCP Server Chatsum
C

Chatmcp MCP Server Chatsum

This is an MCP server project for summarizing chat records. It can query and summarize chat information stored in the database and be integrated with Claude Desktop for use.
2 points
9.1K

What is the MCP Server - Chat Summary?

The MCP Server - Chat Summary is a tool specifically designed to summarize chat records. It helps you quickly understand the important content in long - term chats.

How to use the MCP Server - Chat Summary?

First, you need to set up a database and store chat records in it. Then run the server and query and summarize chat records through specific commands.

Use Cases

Suitable for scenarios where you need to organize and analyze a large number of chat records, such as team collaboration, customer service support, or personal log management.

Main Features

Query Chat Messages
Query historical chat records according to specified conditions.
Summarize Chat Messages
Generate a summary of chat content based on the query results.
Advantages
Efficiently organize and summarize chat records.
Support multiple query conditions to meet personalized needs.
Suitable for chat data analysis in multiple scenarios.
Simple to operate and easy to get started.
Limitations
Requires pre - setting up a database and saving chat records.
May require more computing resources for ultra - large - scale data.
Relies on accurate query conditions to achieve the best results.

How to Use

Set Environment Variables
Create a file named `.env` and add the path to your chat database.
Install Dependencies
Use pnpm to install all necessary dependencies.
Start the Server
Build and start the server to start using.

Usage Examples

Query Project Progress
Query chat records about project progress in the last month and generate a summary.
Customer Service Support Feedback
Analyze customer service support conversations, extract common problems and solutions.

Frequently Asked Questions

How to ensure the security of chat records?
Does it support custom query conditions?
How to solve performance problems?

Related Resources

Official Documentation
Fully understand the functions and usage of the MCP Server - Chat Summary.
GitHub Code Repository
View the source code and contribute code.
MCP Community Forum
Exchange experiences with other users.

Installation

Copy the following command to your Client for configuration
{
  "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"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
16.2K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
11.1K
4.5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
17.8K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
14.6K
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
17.6K
4 points
M
MCP Obsidian
This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.
Python
26.9K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
25.3K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
29.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
85.6K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
41.2K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.8K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
75.6K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
112.0K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
60.7K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase