HELLO-WORLD133

What is HELLO-WORLD133?

HELLO-WORLD133 is an MCP server application that summarizes chat messages. It is designed to run with Claude Desktop and provides tools for querying and summarizing chat histories from a local chat database.

How to use HELLO-WORLD133?

First, set up the chat database by moving to the chatbot directory and following its README. Then create a .env file with the path to the chat database (CHAT_DB_PATH). Install dependencies with pnpm install, build with pnpm build, and add the server configuration to Claude Desktop’s claude_desktop_config.json, specifying the Node.js binary and the built index.js script, along with the environment variable.

Key features of HELLO-WORLD133

• Provides a query_chat_messages tool for querying and summarizing chats.
• Works as an MCP server integrated with Claude Desktop.
• Supports custom chat database paths via environment variables.
• Includes a development mode with auto-rebuild (pnpm watch).
• Debugging support via the MCP Inspector tool.

Use cases of HELLO-WORLD133

• Summarizing recent conversations from a local chat history.
• Querying specific chat messages by parameters and generating summaries.
• Integrating chat memory into AI assistants for contextual responses.
• Testing and debugging MCP server interactions with the Inspector.

FAQ from HELLO-WORLD133

What does HELLO-WORLD133 do that alternatives do not?

It provides a ready‑to‑use MCP server for summarizing chat messages stored in a local SQLite database, tightly integrated with Claude Desktop.

Which platforms or models does HELLO-WORLD133 support?

It runs on macOS and Windows (where Claude Desktop is available) and uses any model accessible through Claude Desktop’s MCP system.

Does HELLO-WORLD133 support all MCP servers?

HELLO-WORLD133 is itself an MCP server; it provides one tool (query_chat_messages) to Claude Desktop clients. It does not support arbitrary third‑party servers.

What are the pricing or licensing terms?

The README does not mention any licensing or pricing information.

Are there any known limits?

The README does not describe any limits; the server depends on a local chat database and Node.js runtime.