WeChat Summarizer

by chatmcp

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1k stars

904 downloads

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GitHub Website

About

Hook into your WeChat history and pull summaries of conversations.

Details

Author: chatmcp
Repository: chatmcp/mcp-server-chatsum
GitHub stars: 1,019
Downloads: 904
Categories: Communication, Productivity, Developer Tools, Design, AI, Community, Search, Database, Infrastructure, Frontend, Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name WeChat Summarizer

Command (node, npx, python, etc.) path-to/bin/node
Arguments
- Argument 1 path-to/mcp-server-chatsum/build/index.js
Environment
- CHAT_DB_PATH path-to/mcp-server-chatsum/chatbot/data/chat.db
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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"
      }
    }
  }
}

`query_chat_messages`

Query chat messages with given parameters and summarize chat messages based on the query prompt.

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

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

Linux

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

Macos

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

Windows

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

This MCP Server is used to summarize your chat messages. move to[chatbotdirectory, follow the](https://github.com/chatmcp/mcp-server-chatsum/blob/HEAD/chatbot)[READMEto setup the chat database. start chatbot to save your chat messages. - `query_chat_messages`- Query chat messages - Query chat messages with given parameters - Summarize chat messages based on the query prompt create`.env`file in the root directory, and set your chat database path. ``` `CHAT_DB_PATH=path-to/chatbot/data/chat.db` ``` 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": ](https://github.com/chatmcp/mcp-server-chatsum/blob/HEAD/chatbot/README.md)["path-to/mcp-server-chatsum/build/index.js"], "env": { "CHAT_DB_PATH": "path-to/mcp-server-chatsum/chatbot/data/chat.db" } } } }` ``` Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the[MCP Inspector, which is available as a package script: The Inspector will provide a URL to access debugging tools in your browser. Manage your WhatsApp, SMS and Phone Calls using a single MCP connector Connect to any function, any language, across network boundaries using AgentRPC. Access your meeting transcripts, summaries, and action items from any AI assistant. Connect Claude, ChatGPT, and other AI tools to your Granola meeting notes via MCP. Query your notes, search transcripts, and get meeting insights in your favorite AI assistants. Build with the Kudosity API to send SMS and MMS. Access developer docs, API references and live testing tools to send messages, manage contact lists, configure webhooks and more. Send SMS, WhatsApp, and RCS messages programmatically with DLT compliance. Manage contacts, schedule campaigns, and track delivery reports. Interact with Twilio APIs to send messages, manage phone numbers, configure your account, and more. The VoIPstudio MCP server gives compatible AI assistants secure access to authorised VoIPstudio account data, including recordings, call detail records, live calls and voicemails in order to query call activity, analyse patterns, identify agent performance issues and generate QA or operations reports in plain English. A bridge server connecting Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) clients.](https://github.com/modelcontextprotocol/inspector)

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WeChat Summarizer

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Setting up with Highlight

Setting up with Cursor

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Setting up with Claude Desktop

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Setting up with Windsurf

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Setting up with Cline

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Setting up with Goose

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From the repository

`query_chat_messages`

Claude Desktop / Cursor

Linux

Macos

Windows

Install

About

Details

Jump to

Setting up with Highlight

From the repository

query_chat_messages

Claude Desktop / Cursor

Linux

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Windows

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