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MCP Server for AI implementation plan tracking and context management

0 stars TypeScriptOthers Updated Jun 20, 2025

Documentation

Follow Plan MCP Server

A comprehensive Model Context Protocol (MCP) server for intelligent project planning and task management with SQLite persistence and full-text search capabilities.

Features

  • Task Management: Create, update, and track tasks with status, priority, and progress
  • Feature Planning: Manage user stories, epics, and feature specifications
  • Bug Tracking: Report and track bugs with severity levels and reproduction steps
  • Rule Engine: Define project rules, validations, and automation guidelines
  • Full-Text Search: Advanced search across all plan items with relevance scoring
  • SQLite Storage: Persistent storage with FTS5 full-text search indexing
  • Auto-Sync: Automatic synchronization between database and filesystem
  • Backup/Restore: Database backup and restore functionality

Quick Start

1. Install Dependencies

bash
npm install

2. Build the Project

bash
npm run build

3. Start the MCP Server

bash
npm start /path/to/your/project

The server will create a `.plan` directory in your project with the following structure:

code
.plan/
├── database.db          # SQLite database
├── index.md            # Project overview
├── tasks/              # Task files
├── features/           # Feature files
├── bugs/               # Bug files
├── rules/              # Rule files
├── workflows/          # Workflow documentation
├── changelog/          # Project changelog
└── tmp/                # Temporary files and logs

MCP Tools

Task Management

  • `create_task` - Create a new task
  • `update_task` - Update an existing task
  • `get_task` - Get task details by ID
  • `list_tasks` - List tasks with optional filters
  • `delete_task` - Delete a task

Feature Management

  • `create_feature` - Create a new feature
  • `update_feature` - Update an existing feature
  • `get_feature` - Get feature details by ID
  • `list_features` - List features with optional filters
  • `delete_feature` - Delete a feature

Bug Tracking

  • `create_bug` - Create a new bug report
  • `update_bug` - Update an existing bug
  • `get_bug` - Get bug details by ID
  • `list_bugs` - List bugs with optional filters
  • `delete_bug` - Delete a bug

Rule Management

  • `create_rule` - Create a new project rule
  • `update_rule` - Update an existing rule
  • `get_rule` - Get rule details by ID
  • `list_rules` - List rules with optional filters
  • `delete_rule` - Delete a rule

Search & Discovery

  • `search` - Search across all plan items
  • `advanced_search` - Advanced search with filters

Data Management

  • `backup_database` - Create a database backup
  • `restore_database` - Restore from backup
  • `sync_filesystem` - Sync database to filesystem

MCP Resources

  • `plan://index` - Project plan overview (Markdown)
  • `plan://tasks` - All tasks (JSON)
  • `plan://features` - All features (JSON)
  • `plan://bugs` - All bugs (JSON)
  • `plan://rules` - All rules (JSON)
  • `plan://stats` - Project statistics (JSON)

Configuration

Claude Desktop

Add to your Claude Desktop configuration:

json
{
  "mcpServers": {
    "follow-plan": {
      "command": "node",
      "args": [
        "/path/to/follow-plan-mcp/dist/index.js",
        "/path/to/your/project"
      ],
      "env": {}
    }
  }
}

Environment Variables

  • `LOG_LEVEL` - Set logging level (debug, info, warn, error)
  • `PLAN_AUTO_SYNC` - Enable/disable auto-sync (default: true)
  • `PLAN_BACKUP_INTERVAL` - Backup interval in seconds (default: 1800)

Development

Build

bash
npm run build

Test

bash
npm test
npm run test:coverage

Lint

bash
npm run lint
npm run lint:fix

Format

bash
npm run format

Database Schema

The server uses SQLite with FTS5 full-text search. Key tables:

  • `tasks` - Project tasks
  • `features` - Feature specifications
  • `bugs` - Bug reports
  • `rules` - Project rules
  • `messages` - Communication logs
  • `prompts` - AI prompt templates
  • `cascades` - Automation workflows
  • `fts_search` - Full-text search index

Architecture

code
src/
├── index.ts              # Main MCP server
├── types/                # TypeScript type definitions
├── services/             # Business logic services
│   ├── database-service.ts
│   ├── task-service.ts
│   ├── feature-service.ts
│   ├── bug-service.ts
│   ├── rule-service.ts
│   ├── search-service.ts
│   └── persistence-service.ts
├── handlers/             # MCP request handlers
│   ├── tools.ts
│   ├── resources.ts
│   ├── validation.ts
│   └── search-handlers.ts
├── utils/                # Utility functions
└── constants/            # Application constants

Contributing

1. Fork the repository

2. Create a feature branch

3. Make your changes

4. Add tests

5. Run the test suite

6. Submit a pull request

License

MIT License - see LICENSE file for details

Support

For issues and questions:

  • GitHub Issues: [Report a bug or request a feature]
  • Documentation: See the `/docs` directory
  • Examples: See the `/examples` directory

Follow Plan MCP - Intelligent project planning for the AI age 🚀

Frequently asked questions

What is follow-plan-mcp?

follow-plan-mcp is MCP Server for AI implementation plan tracking and context management

How do I install follow-plan-mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is follow-plan-mcp open source?

Yes — it is hosted on GitHub at https://github.com/vibeclasses/follow-plan-mcp.

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