mcp-server-chatsum logo

mcp-server-chatsum

OrganizationPopular
chatmcp

Query and Summarize your chat messages.

Publisherchatmcp
Repositorymcp-server-chatsum
LanguageTypeScript
Forks
100
Stars
1K
Available tools
0
Transport typestdio
Categories
Communication
Licensenull
Links
GitHubHomepage
  • Connect tools to AI workflows

    mcp-server-chatsum exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    1K stars and 100 forks from the linked repository.

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

  1. 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
  1. 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

About the author

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "chatmcp-mcp-server-chatsum": {
      "command": "",
      "args": []
    }
  }
}

Use mcp-server-chatsum MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once mcp-server-chatsum is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add mcp-server-chatsum as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the mcp-server-chatsum MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "chatmcp-mcp-server-chatsum": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-chatsum"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the mcp-server-chatsum MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the mcp-server-chatsum MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use mcp-server-chatsum to help me with this task?
mcp-server-chatsum
Sure. I read it.
Here is what I found using mcp-server-chatsum.

Frequently asked questions

What is the mcp-server-chatsum MCP server used for?

mcp-server-chatsum is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use mcp-server-chatsum MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use mcp-server-chatsum with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use mcp-server-chatsum MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With mcp-server-chatsum connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect mcp-server-chatsum MCP to TypingMind?

mcp-server-chatsum runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does mcp-server-chatsum MCP provide in TypingMind?

mcp-server-chatsum exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use mcp-server-chatsum MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If mcp-server-chatsum requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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