note-gen

NoteGen is an MCP-enabled server that integrates AI-powered note taking and organization capabilities into your MCP-enabled workflow. It exposes tools for cross-platform note capture, AI-driven note processing, and intelligent agents that can automate fragmentation, tagging, and linking of notes. With MCP support, you can connect NoteGen to other services and orchestrate tool invocations within your workspace—triggering AI assistants, accessing RAG-backed retrieval, and coordinating multiple tools in a single run. Once running, you can invoke NoteGen's AI dialogue and recording features to quickly capture thoughts and have the AI organize them into coherent notes, or use the built-in agents to perform automated note processing and content enrichment across your projects.

Prerequisites:

• Node.js and npm (for npx-based setup) or a compatible runtime environment that can execute MCP configurations.
• Internet access to fetch the note-gen package from the npm registry.

Install and run:

1. Ensure Node.js and npm are installed. Verify: node -v npm -v

2. Run the MCP server using the package via npx (no local installation required): npx -y codexu/note-gen

3. If you prefer to install locally first (optional): npm install codexu/note-gen node path/to/server.js # adjust path based on package entry point

4. Configure MCP to point to NoteGen using the mcp_config snippet provided in this document, then start your MCP runner as you normally would.

Notes and tips:

• The server integrates AI tooling for note recording, AI dialogue, and automated note processing. Expect to see features related to RAG (retrieval-augmented generation) and MCP tool chaining.
• If your environment requires authentication, set NOTEG_API_KEY (or equivalent) in the environment variables before starting.
• When using npx, a network connection is needed to fetch the package for the first run; subsequent runs may use cached artifacts.
• If you encounter port or binding issues, ensure the environment allows outbound network connections and that no other process is occupying the intended port.
• Check the MCP orchestration logs for tool invocation details, including which AI tools were engaged and how data flowed between tools.