jgsteeler/churnflow-mcp

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Repository Install

An ADHD-friendly productivity system powered by AI agents and MCP

概览

An ADHD-friendly productivity system powered by AI agents, SQLite database, and GitHub Copilot is a production-ready Model Context Protocol (MCP) server that transforms the way ADHD minds manage productivity. Built with optional SQLite database integration, GitHub Copilot support, and comprehensive AI assistance, ChurnFlow works with your natural patterns of thinking, capturing, and processing information. - : Search, analytics, and review query commands - : Expose database features through GitHub Copilot - : Database-powered statistics and insights - : Full-text search integration with CLI - : Optional advanced features with full-text search, analytics, and AI learning - : Search across all captures with ranking and relevance scoring - : Track inbox, active, completed, and overdue items with real-time statistics - : Context inference improves over time with user feedback - : Database setup separated from capture operations (resolves code smells) - : Captures save to both markdown...

README

以下为原文 README 节选，完整内容请查看原文。

ChurnFlow MCP Server v0.4.2

An ADHD-friendly productivity system powered by AI agents, SQLite database, and GitHub Copilot

ChurnFlow is a production-ready Model Context Protocol (MCP) server that transforms the way ADHD minds manage productivity. Built with optional SQLite database integration, GitHub Copilot support, and comprehensive AI assistance, ChurnFlow works with your natural patterns of thinking, capturing, and processing information.

🎉 New in v0.4.2: Advanced Database Features & Migrations

v0.4.1 Highlights:

Database CLI Commands: Search, analytics, and review query commands
MCP Database Tools: Expose database features through GitHub Copilot
Enhanced Dashboard: Database-powered statistics and insights
Search Interface: Full-text search integration with CLI
🗄️ SQLite Database Integration: Optional advanced features with full-text search, analytics, and AI learning
🔍 Full-Text Search (FTS5): Search across all captures with ranking and relevance scoring
📊 Analytics Dashboard: Track inbox, active, completed, and overdue items with real-time statistics
🧠 AI Learning Patterns: Context inference improves over time with user feedback
🏗️ Clean Architecture: Database setup separated from capture operations (resolves code smells)
📁 Dual Storage: Captures save to both markdown files AND SQLite database
🔄 Optional Enhancement: System works perfectly in file-only mode when database not set up

🧠 The Problem

Traditional productivity systems fail ADHD brains because they require too much cognitive overhead:

Capture friction: Great ideas get lost while driving, in meetings, or during hyperfocus sessions
Processing overhead: Spending more time organizing tasks than actually doing them
Context switching pain: Losing track of where you were after interruptions
System maintenance burden: The productivity system becomes another task to manage

✨ The ChurnFlow Solution

ChurnFlow uses AI to eliminate the cognitive overhead of productivity management:

🎤 Frictionless Capture: Voice or text input that automatically infers context and routing
🤖 AI-Powered Processing: Natural language understanding that categorizes and prioritizes items
📍 Context Awareness: Seamlessly switch between life domains (business, personal, projects)
🔄 Automatic Recovery: Get back on track after interruptions without losing momentum

🏗️ Architecture

ChurnFlow is built around three core concepts:

Collections

Domain-specific folders that archive completed work and reference materials:

gsc-ai/ - AI consulting business
project-55/ - Personal business empire plan
tractor/ - Equipment restoration projects

Trackers

Active markdown files that capture ongoing work and action items:

Auto-categorized by context (business, personal, project, system)
YAML frontmatter for metadata and workflow control

在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手？先看 mcpskill.org 教程 →

配置

{
     "mcpServers": {
       "churnflow": {
         "command": "tsx",
         "args": ["/path/to/churn-mcp/src/index.ts"],
         "cwd": "/path/to/churn-mcp"
       }
     }
   }