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Habit Tracker MCP

An intelligent Model Context Protocol (MCP) server that empowers AI assistants like Claude to autonomously track, archive, and analyze human habits through natural language.

Node.js MCP SDK LowDB Claude Integration

The MCP Advantage

This implementation serves as a technical bridge. While standard AI models "forget" session context, this MCP server provides persistent memory and tool-use capabilities, allowing the AI to act as a dedicated personal data steward.

Natural Interface

AI parses phrasing like "I just finished a 30-min run" into structured data entries automatically.

Long-term Storage

Persistent JSON-based local database ensures habit data remains accessible across weeks and months.

Deep Analysis

Claude can run complex queries on the habitat data to identify patterns, streaks, and areas for improvement.

Tool Definition Schema

{
  "name": "add_habit",
  "description": "Log a new daily activity",
  "inputSchema": {
    "type": "object",
    "properties": {
      "name": { "type": "string" },
      "amount": { "type": "number" },
      "unit": { "type": "string" }
    },
    "required": ["name", "amount", "unit"]
  }
}

The AI uses this JSON schema to understand exactly how to deliver data to the local server.

Transport Layer

Standardized I/O transport enables direct communication between the local process and modern AI desktops like Claude.

Data Abstraction

`db.js` provides a clean interface for LowDB operations, ensuring asynchronous safety and data integrity.

Software Stack

Node.js
MCP SDK
LowDB