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Codepet Server

БесплатноНе проверен

A local MCP server that captures coding context, tracks developer sessions, and powers daily insights.

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Описание

A local MCP server that captures coding context, tracks developer sessions, and powers daily insights.

README

A local MCP server that captures coding context, tracks developer sessions, and powers daily insights. Compatible with Claude Code, Cursor, VS Code, Windsurf, and any MCP-compliant client.

Built by MURROR.


Quick Start

1. Install

cd codepet-mcp-server
npm install
npm run build

2. Connect to Your Editor

Claude Code — add to ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "codepet": {
      "command": "node",
      "args": ["/full/path/to/codepet-mcp-server/dist/index.js"]
    }
  }
}

Cursor — add to .cursor/mcp.json in your project root:

{
  "servers": {
    "codepet": {
      "command": "node",
      "args": ["/full/path/to/codepet-mcp-server/dist/index.js"]
    }
  }
}

VS Code / Windsurf — add to .vscode/mcp.json in your project root:

{
  "servers": {
    "codepet": {
      "command": "node",
      "args": ["/full/path/to/codepet-mcp-server/dist/index.js"]
    }
  }
}

Replace /full/path/to/ with the actual path on your machine.

3. Verify It Works

Once connected, ask your AI assistant:

"Scan my project and tell me what I'm working with"

If Codepet responds with your project structure, languages, and dependencies — you're all set.

4. Test with Inspector (Optional)

npm run inspect

Opens the MCP Inspector — a browser-based UI to test all tools and resources interactively.


Features Overview

What How
Scan your project structure Ask AI: "What am I working with?"
See recent git activity Ask AI: "What did I commit today?"
Check for build errors Ask AI: "Are there any compiler errors?"
Read any file with metadata Ask AI: "Show me src/index.ts"
Track skill progress Ask AI: "How are my skills progressing?"
Generate daily summary Ask AI: "Generate my daily coding summary"

Phase 1 — Context Capture

Tools

Tool Description
scan_project Detect languages, frameworks, structure, and dependencies
get_git_context Recent commits, diffs, branch info, activity patterns
get_diagnostics Compiler errors, lint warnings, error→fix tracking

Resources

URI Description
codepet://project/summary Cached project fingerprint
codepet://user/profile Pet name, level, streak, skills
codepet://missions/active Contextual learning missions

Phase 2 — Learning & Skill Mapping

Tools

Tool Description
get_file_content Read file with language detection, line ranges, and metadata
get_learning_context Aggregated learning progress: error patterns, streaks, skill tree XP, recommendations

Resources

URI Description
codepet://skills/progress Skill tree progress mapped from coding activity (16 skills, 4 kingdoms)

Skill Tree Mapping

Coding activity is automatically mapped to Codepet's 16 skills across 4 kingdoms:

Kingdom Tier Skills
The Molten Forge 1 — Foundations Prompt Clarity, Error Reading, Tool Basics, Code Judgment
The Frozen Spire 2 — Context & Structure Context Setting, AI Rules Files, Documentation, Project Structure
The Eternal Garden 3 — Advanced Tool Switching, Scope Mgmt, Design System, Prompt Iteration
The Mystic Grove 4 — Expert User Personas, Context Windows, AI Architecture, Second Brain

Each skill has 5 levels. XP is earned automatically based on what you do — reading files, fixing errors, exploring projects, and using different tools all contribute to different skills.

Phase 3 — Daily Summaries + macOS App Integration

Tools

Tool Description
generate_daily_summary LLM-powered daily summary with stats, narrative, and in-character pet reaction

Resources

URI Description
codepet://summary/today Today's daily summary (call generate_daily_summary to create)

macOS App Integration

The Codepet macOS app reads ~/.codepet/ data via MCPBridgeService.swift:

  • Polls every 30s for new events, summaries, and skill progress
  • Merges real coding XP into the app's progression system (with double-count prevention)
  • Updates pet mood and energy based on daily coding activity
  • Available as @EnvironmentObject throughout the SwiftUI view hierarchy

Session Logger

Every tool call is automatically logged to ~/.codepet/ as JSON files, organized by date. This data powers daily summaries and skill tracking.

Setup

cd codepet-mcp-server
npm install
npm run build

Add to Claude Code

// ~/.claude/claude_desktop_config.json
{
  "mcpServers": {
    "codepet": {
      "command": "node",
      "args": ["/path/to/codepet-mcp-server/dist/index.js"]
    }
  }
}

Add to Cursor / VS Code

// .cursor/mcp.json or .vscode/mcp.json
{
  "servers": {
    "codepet": {
      "command": "node",
      "args": ["/path/to/codepet-mcp-server/dist/index.js"]
    }
  }
}

Usage

Once connected, the AI client can call tools naturally:

"Scan my project and tell me what I'm working with" → calls scan_project

"What did I commit today?" → calls get_git_context

"Are there any build errors?" → calls get_diagnostics

"Show me the contents of src/index.ts" → calls get_file_content

"How am I progressing on my skills?" → calls get_learning_context

Data Storage

All data is stored locally in ~/.codepet/:

~/.codepet/
├── events/
│   └── 2026-04-07.json    # Today's tool call events
├── summaries/
│   └── 2026-04-07.json    # Generated daily summaries
└── profile.json            # User profile + cached project data

Roadmap

  • Phase 1: scan_project, get_git_context, get_diagnostics tools + resources
  • Phase 2: get_file_content, get_learning_context tools + skill tree mapping
  • Phase 3: Daily summary generation (LLM-powered), Codepet macOS app integration
  • Future: SQLite backend (better-sqlite3), real-time file watching, pet evolution

Troubleshooting

"Server not found" or tools don't appear: Make sure you ran npm run build and the path in your config points to dist/index.js (not src/index.ts). The path must be absolute.

No data in ~/.codepet/: The server only writes data when tools are called. Ask your AI to run scan_project or get_git_context to generate the first events.

Daily summary is empty: Run generate_daily_summary — it creates the summary on demand. It needs at least a few tool calls logged in today's events file to produce meaningful output.

macOS app doesn't show MCP data: The macOS app polls ~/.codepet/ every 30 seconds. Make sure the MCP server has been used at least once today so event files exist. Check the Xcode console for [MCPBridge] log messages.

Permission errors on ~/.codepet/: The server creates this directory automatically. If it fails, create it manually: mkdir -p ~/.codepet/events ~/.codepet/summaries


License

MIT — see the root LICENSE file.

from github.com/My-Outcasts/codepet-mcp-server

Установка Codepet Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/My-Outcasts/codepet-mcp-server

FAQ

Codepet Server MCP бесплатный?

Да, Codepet Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Codepet Server?

Нет, Codepet Server работает без API-ключей и переменных окружения.

Codepet Server — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Codepet Server в Claude Desktop, Claude Code или Cursor?

Открой Codepet Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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