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Cc Mvp

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A Cocos Creator 3.8 editor extension that exposes scene, node, component, prefab, preview, build, asset, and debug operations as MCP tools for AI clients like C

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Описание

A Cocos Creator 3.8 editor extension that exposes scene, node, component, prefab, preview, build, asset, and debug operations as MCP tools for AI clients like Codex and Claude Code.

README

cc-mcp is a Cocos Creator 3.8 editor extension that exposes scene, node, component, prefab, preview, build, asset, and debug operations as MCP tools.

It is designed for AI clients such as Codex and Claude Code:

  • Cocos Creator keeps the real editor state and executes the actual operations.
  • cc-mcp starts a local HTTP bridge at http://127.0.0.1:17321.
  • dist/mcp-server.js is a stdio MCP adapter that forwards MCP tool calls to that local bridge.

What it provides

Main capability groups:

  • Scene tools: get current scene, list scenes, open scene, save scene, create scene, inspect hierarchy
  • Node tools: create, read, find, move, duplicate, delete, update transforms and active state
  • Component tools: add, remove, inspect, set properties, mount custom script components
  • Prefab tools: list, inspect, open, instantiate, create, export scene nodes to real prefab assets
  • Preview tools: browser preview, GameView start/pause/step/stop
  • Build tools: query platforms/tasks, trigger real Creator builds, AI-friendly build helpers
  • Asset/debug/environment tools: asset CRUD, logs, scene JS execution, stats, validation, preferences, server info

AI-oriented high-level tools include:

  • ai_preview_browser_with_scene
  • ai_build_web_desktop_default
  • ai_build_web_mobile_default
  • ai_build_web_mobile_and_wait
  • ai_export_selected_nodes_to_prefabs
  • ai_export_nodes_by_name_to_prefabs

Architecture

  • source/main.ts: extension main process, HTTP bridge, MCP-style JSON-RPC routing, project/build/asset/log tools
  • source/scene.ts: scene script for real scene/node/component/prefab/GameView operations
  • source/mcp-server.ts: stdio MCP server that forwards to http://127.0.0.1:17321

Install

Place the extension in your project:

YourProject/
├─ assets/
├─ extensions/
│  └─ cc-mcp/
│     ├─ source/
│     ├─ dist/
│     ├─ package.json
│     └─ ...
└─ ...

Install and build:

cd E:\CocosWorkspace\Test33\extensions\cc-mcp
npm install
npm run build

Then in Cocos Creator:

  1. Open the project.
  2. Enable or refresh the cc-mcp extension.
  3. Keep Creator open while your AI client uses MCP.

Verify the bridge

After the extension loads, the bridge should be available at:

http://127.0.0.1:17321

Quick health check:

Invoke-RestMethod `
  -Method Get `
  -Uri "http://127.0.0.1:17321/health"

Expected result:

  • HTTP 200
  • JSON containing the extension name, version, and project path

MCP endpoints

cc-mcp exposes three practical entry points:

  1. Stdio MCP server
node E:/CocosWorkspace/Test33/extensions/cc-mcp/dist/mcp-server.js
  1. HTTP JSON-RPC MCP endpoint
POST http://127.0.0.1:17321/mcp
  1. Simplified HTTP tool endpoint
POST http://127.0.0.1:17321/tool

Other useful routes:

  • GET /health
  • GET /tools
  • POST /message
  • POST /crud

Use with Codex

Codex CLI and the Codex IDE extension share the same MCP configuration. OpenAI documents that MCP servers can be added either with codex mcp add or through ~/.codex/config.toml / project .codex/config.toml. See the official docs: Model Context Protocol – Codex and Advanced Configuration – Codex.

Option A: add from the CLI

Run this once:

codex mcp add cc-mcp -- node E:/CocosWorkspace/Test33/extensions/cc-mcp/dist/mcp-server.js

Then verify inside Codex:

  • Run codex mcp --help for MCP management commands
  • Run /mcp inside the Codex TUI to see whether cc-mcp is connected

Option B: add to .codex/config.toml

For this project, create or edit:

  • E:\CocosWorkspace\Test33\.codex\config.toml

Example:

[mcp_servers.cc-mcp]
command = "node"
args = ["E:/CocosWorkspace/Test33/extensions/cc-mcp/dist/mcp-server.js"]
cwd = "E:/CocosWorkspace/Test33"
startup_timeout_sec = 20
tool_timeout_sec = 600
enabled = true

If you prefer user-wide setup, put the same block in:

  • ~/.codex/config.toml

How to prompt Codex

Once the server is connected, you can ask Codex to call the tools naturally. Examples:

  • Use cc-mcp to get the current Cocos scene and summarize the node hierarchy.
  • Open db://assets/scene.scene and start browser preview with cc-mcp.
  • Export the currently selected nodes to db://assets/prefabs/selected using cc-mcp.
  • Run a web-mobile build with cc-mcp and wait until it finishes.

Typical tool sequence:

  1. scene_get_current_scene
  2. scene_get_hierarchy
  3. node_find_nodes_by_name or node_create_node
  4. project_preview_start or ai_preview_browser_with_scene
  5. project_build or ai_build_web_mobile_and_wait

Use with Claude Code

Anthropic documents local stdio MCP servers with claude mcp add --transport stdio <name> -- <command> [args...]. See the official docs: Connect Claude Code to tools via MCP.

Option A: local scope

This is the simplest setup and only affects your current project on your machine:

claude mcp add --transport stdio cc-mcp -- node E:/CocosWorkspace/Test33/extensions/cc-mcp/dist/mcp-server.js

Option B: project scope

If you want the MCP server config written into .mcp.json for the repo:

claude mcp add --transport stdio cc-mcp --scope project -- node E:/CocosWorkspace/Test33/extensions/cc-mcp/dist/mcp-server.js

Anthropic currently distinguishes these scopes:

  • local: stored in ~/.claude.json for the current project only
  • project: stored in repo .mcp.json, intended for team sharing
  • user: stored in ~/.claude.json, available across all projects

Equivalent .mcp.json example

If you want to write the project config manually:

{
  "mcpServers": {
    "cc-mcp": {
      "command": "node",
      "args": [
        "E:/CocosWorkspace/Test33/extensions/cc-mcp/dist/mcp-server.js"
      ],
      "env": {}
    }
  }
}

Check server status

Useful Claude Code commands:

claude mcp list
claude mcp get cc-mcp

Inside Claude Code:

/mcp

How to prompt Claude Code

Examples:

  • Use the cc-mcp MCP server to inspect the current Cocos scene.
  • Use cc-mcp to open db://assets/scene.scene and launch browser preview.
  • Use cc-mcp to export nodes named Enemy into db://assets/prefabs/enemies.
  • Use cc-mcp to build web-mobile and wait for completion.

Direct HTTP usage

If you are building your own client, you can call the bridge directly.

Simplified /tool call

{
  "name": "scene_get_current_scene",
  "arguments": {}
}

PowerShell:

$body = @{
  name = "scene_get_current_scene"
  arguments = @{}
} | ConvertTo-Json -Depth 20

Invoke-RestMethod `
  -Method Post `
  -Uri "http://127.0.0.1:17321/tool" `
  -ContentType "application/json" `
  -Body $body

MCP JSON-RPC call

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "scene_get_current_scene",
    "arguments": {}
  }
}

Recommended first tool calls

When connecting a new AI client, these are good first checks:

  1. scene_get_current_scene
  2. scene_get_scene_list
  3. scene_get_hierarchy
  4. project_get_info
  5. env_get_environment_info

Then move on to real actions:

  1. ai_preview_browser_with_scene
  2. prefab_export_node_to_prefab
  3. ai_export_selected_nodes_to_prefabs
  4. ai_build_web_mobile_and_wait

Practical examples

Open a scene and preview in browser

Use the high-level helper:

{
  "name": "ai_preview_browser_with_scene",
  "arguments": {
    "scene": "db://assets/scene.scene"
  }
}

Trigger a web-mobile build and wait

{
  "name": "ai_build_web_mobile_and_wait",
  "arguments": {
    "debug": true,
    "buildPath": "project://build/web-mobile",
    "timeoutMs": 600000,
    "pollMs": 1500
  }
}

Export a scene node to a real prefab asset

{
  "name": "prefab_export_node_to_prefab",
  "arguments": {
    "nodeUuid": "YOUR_NODE_UUID",
    "url": "db://assets/prefabs/Enemy.prefab"
  }
}

Notes

  • The stdio MCP server depends on the local Creator bridge, so Cocos Creator must stay open.
  • dist/mcp-server.js does not operate on project files directly. It forwards requests to the running editor.
  • Browser preview is usually the most stable path for automated preview flows.
  • GameView controls are implemented and tested, but Creator UI state can still affect timing.
  • Build tools trigger real Creator build tasks, not just panel navigation.
  • Resource paths should use Creator db:// URLs whenever possible.

Troubleshooting

If Codex or Claude Code cannot use the tools:

  1. Confirm Creator is open with E:\CocosWorkspace\Test33.
  2. Confirm cc-mcp is enabled.
  3. Confirm http://127.0.0.1:17321/health returns success.
  4. Rebuild the extension:
cd E:\CocosWorkspace\Test33\extensions\cc-mcp
npm run build
  1. Refresh or restart Cocos Creator.
  2. Re-run codex mcp add ... or claude mcp add ... if the client still points to an old path.

from github.com/akunone/cc-mcp

Установка Cc Mvp

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

▸ github.com/akunone/cc-mcp

FAQ

Cc Mvp MCP бесплатный?

Да, Cc Mvp MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Cc Mvp?

Нет, Cc Mvp работает без API-ключей и переменных окружения.

Cc Mvp — hosted или self-hosted?

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

Как установить Cc Mvp в Claude Desktop, Claude Code или Cursor?

Открой Cc Mvp 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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