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Funplay Cocos MCP

by FunplayAIversion 0.7.0i★ –iRuns on your computer
Registry nameio.github.FunplayAI/funplay-cocos-mcp

Install

Overview

Description from the maker (original English)

stdio bridge for the local Cocos Creator Editor MCP server from FunplayAI/funplay-cocos-mcp.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: FUNPLAY_COCOS_MCP_URL, FUNPLAY_COCOS_MCP_TIMEOUT_SECONDS

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "funplay-cocos": {
      "command": "npx",
      "args": [
        "-y",
        "funplay-cocos-mcp"
      ],
      "env": {
        "FUNPLAY_COCOS_MCP_URL": "your-value",
        "FUNPLAY_COCOS_MCP_TIMEOUT_SECONDS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add funplay-cocos --env FUNPLAY_COCOS_MCP_URL=your-value --env FUNPLAY_COCOS_MCP_TIMEOUT_SECONDS=your-value -- npx -y funplay-cocos-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "funplay-cocos": {
      "command": "npx",
      "args": [
        "-y",
        "funplay-cocos-mcp"
      ],
      "env": {
        "FUNPLAY_COCOS_MCP_URL": "your-value",
        "FUNPLAY_COCOS_MCP_TIMEOUT_SECONDS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "funplay-cocos": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "funplay-cocos-mcp"
      ],
      "env": {
        "FUNPLAY_COCOS_MCP_URL": "your-value",
        "FUNPLAY_COCOS_MCP_TIMEOUT_SECONDS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • FUNPLAY_COCOS_MCP_URL env
    Optional local Cocos MCP HTTP endpoint. Defaults to http://127.0.0.1:8765/.
  • FUNPLAY_COCOS_MCP_TIMEOUT_SECONDS env
    Optional HTTP timeout per request in seconds. Defaults to 120.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account FunplayAI, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18639 servers in this category
  • Published to the registry more recently than 78% of the other 18639 servers in this category
  • Basic checks equal to or better than 100% of the other 18639 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Funplay Cocos MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.7.0) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Statuser

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendryEarly↓ 66/wk★ 440Updated 14 months ago

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Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

by desktop-commanderGrowing★ 211Updated 3 days ago

Runs in the cloud✓ desktopcommander.app

Statuser

Monitor services, manage incidents and status pages in Statuser.cloud from your AI assistant.

by statuser-cloudEarly↓ 1K/wkUpdated today

Computer or cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Funplay MCP for Cocos

An Embedded MCP Server for Cocos Creator Editor

中文 | English

If this project helps your Cocos workflow, please consider giving it a Star. It helps more developers discover the project and supports ongoing development.


Funplay MCP for Cocos is an MIT-licensed Cocos Creator extension that embeds an HTTP MCP server directly inside the editor. It lets AI assistants such as Claude Code, Cursor, Codex, VS Code Copilot, Trae, Kiro, Qoder, Kimi Code, OpenCode, CodeBuddy, and DeepSeek Harness (DSH) inspect and operate your running Cocos project.

The package follows the same product direction as Funplay MCP for Unity: keep the default tool surface focused, provide a one-click client configuration window, and make one high-flexibility execution tool the primary workflow.

For Cocos, the primary tool is execute_javascript:

  • context: "scene" runs JavaScript in the active Cocos scene/runtime context
  • context: "editor" runs JavaScript in the Cocos editor/browser context

*"Create a login page UI with account/password fields and a main login button."*

Your AI assistant can call execute_javascript, build the UI hierarchy under the active Canvas, attach Cocos components, inspect the result, and capture a screenshot for validation.

Quick Start

If you just want to connect quickly, do these three things:

  • Install this repository as a Cocos Creator extension
  • Open Funplay > MCP Server
  • Use the built-in one-click MCP client configuration
1. Install as a Cocos Creator Extension

Recommended install: use the official Cocos Store page and install the extension into your target Cocos Creator project.

For local development or unreleased builds, clone or copy this repository into your Cocos project extension directory:

cd /path/to/your-cocos-project

mkdir -p extensions git clone https://github.com/FunplayAI/funplay-cocos-mcp.git extensions/funplay-cocos-mcp

Then restart Cocos Creator or reload extensions from the editor.

For a non-git install, download Funplay.CocosMcp.v .zip from the GitHub Releases page, unzip it, and move the extracted funplay-cocos-mcp folder into your project extensions/ directory.

Install for All Projects (Recommended)

Install and open the extension in any project first. Then open Funplay > MCP Settings and click Install for All Projects in the All Projects section. The extension downloads the latest GitHub Release, verifies SHA256SUMS.txt, and installs it into the active Cocos Creator version's managed global extension directory:

  • macOS / Linux: ~/.CocosCreator/builtin-extensions/ /funplay-cocos-mcp
  • Windows: %USERPROFILE%\.CocosCreator\builtin-extensions\ \funplay-cocos-mcp

Cocos Creator scans and registers the installed copy immediately. Projects opened or created with that Creator version then load it automatically, and the MCP server keeps its default autostart behavior. Reopen an already-running project if its project-level copy has priority. No extension files are copied into each project's extensions/ directory.

Global extensions are isolated by Cocos Creator version. If you use multiple Creator versions, run Install for All Projects once from each version.

The installer does not delete the current project copy, which protects development worktrees. If both copies exist, MCP Settings shows a duplicate-install warning. After confirming that the global copy works, remove or disable the project copy to avoid extension conflicts.

2. Start the MCP Server

Open the editor menu:

Funplay > MCP Server

New projects get a stable project-derived port in 20000–29999. Existing saved configurations keep their fixed port (including 8765). Use the exact URL shown in MCP Server; if a temporary fallback port is active, click Pin Current Port or Use Per-Project Port before configuring a client.

If the configured port is already occupied, the extension first checks whether the existing listener belongs to the same Cocos project. Same-project listeners are reused safely; unrelated listeners trigger automatic fallback to the next available local port.

The panel is intentionally small:

  • Enable or disable the MCP server
  • Open focused Tool Exposure, MCP Settings, and Project Skills windows
  • Automatically check the installed version against the latest GitHub release
  • Open the release page or install verified release packages from the panel
  • Install once in the Cocos Creator global extensions directory so existing and new projects can use it automatically
  • Configure AI clients with one click and preview the selected client config
  • Keep advanced tool profile editing, transport settings, and installation management out of the main server window
  • Follow the Cocos Creator interface language automatically, or select Chinese/English per project in MCP Settings
  • Toggle Print MCP logs in Settings to silence MCP console messages without losing Recent Activity or internal diagnostics

All management pages use consistent headings, aligned controls, and lightweight sections. Tool Exposure groups per-tool toggles by category; Project Skills highlights available actions and folds away file paths and backups. Recent Activity shows each call's summary and actual result as an expandable object/array tree, with execution logs and return values in separate sections for scripts. Output sections and the standalone log-viewing panel are removed. Short action notices preserve success/failure feedback, while diagnostic logs remain available to MCP tools and resources.

Script tools capture per-call console.log/info/warn/error/debug output, including logs before a failure, independently of Print MCP logs. Capture is isolated across concurrent and nested calls and stops when the script settles; global/project logs and logs from separately required modules are not collected. Use the injected console (also available as env.console in run/module exports). MCP responses retain their existing data shape and add optional execution metadata with context, duration, bounded/redacted logs, and an omitted-entry count. Recent Activity preserves result hierarchy and scalar values; large results and file/script bodies remain limited or omitted, with truncation notices.

The extension menu and native panel titles follow the Cocos Creator interface language. Panel controls, tool descriptions, status messages, prompts, and empty states support English and Chinese; open Funplay > MCP Settings to follow Creator or set a project-specific content-language override. MCP tool IDs and schemas remain in English so client integrations stay stable.

3. Configure Your AI Client

Use the built-in MCP Client Config section in the Funplay > MCP Server panel first.

Select your target client, click One-Click Configure, and the extension writes the recommended MCP config entry for you.

The MCP server name written to clients is:

cocos-<project>-<hash>

If you prefer to edit config files manually, use the examples below as fallback references. Replace their legacy funplay_cocos name and 8765 port with the name and URL shown in your panel. One-click Claude Code configuration uses the project's Git-root scope in ~/.claude.json, not the global example below. See project setup and migration.

Claude Code / Claude Desktop

{

"mcpServers": { "funplay_cocos": { "type": "http", "url": "http://127.0.0.1:8765/" } } }

Cursor

{

"mcpServers": { "funplay_cocos": { "url": "http://127.0.0.1:8765/" } } }

VS Code

{

"servers": { "funplay_cocos": { "type": "http", "url": "http://127.0.0.1:8765/" } } }

Trae

{

"mcpServers": { "funplay_cocos": { "url": "http://127.0.0.1:8765/" } } }

Kiro

{

"mcpServers": { "funplay_cocos": { "type": "http", "url": "http://127.0.0.1:8765/" } } }

Qoder

The user-level configuration is written to ~/.qoder/settings.json, or to $QODER_CONFIG_DIR/settings.json when that environment variable is set.

{

"mcpServers": { "funplay_cocos": { "type": "http", "url": "http://127.0.0.1:8765/" } } }

Kimi Code

The user-level configuration is written to ~/.kimi-code/mcp.json, or to $KIMI_CODE_HOME/mcp.json when that environment variable is set.

{

"mcpServers": { "funplay_cocos": { "url": "http://127.0.0.1:8765/" } } }

Codex

[mcp_servers.funplay_cocos]

url = "http://127.0.0.1:8765/"

OpenCode

The global config lives in $XDG_CONFIG_HOME/opencode/opencode.json or ~/.config/opencode/opencode.json on every platform (opencode.jsonc also works).

One-click configuration prefers an existing opencode.jsonc. It supports comments and trailing commas in either file, preserves unrelated settings and comments, and leaves malformed or ambiguous configurations unchanged.

{

"mcp": { "funplay_cocos": { "type": "remote", "url": "http://127.0.0.1:8765/" } } }

CodeBuddy (IDE 4.0+)

One-click setup writes /.mcp.json, the project configuration supported by CodeBuddy IDE 4.0+. It preserves other servers, comments, and trailing commas. Open this Cocos project folder as the CodeBuddy workspace, reload the client if necessary, and enable/approve the MCP server when prompted. Older IDE versions and the standalone CodeBuddy editor extension have different configuration locations; this target does not write their global settings or the CLI's global files.

Configure + Skills also installs missing built-in Skills into /.codebuddy/skills, following the official Skills directory. Existing Skills are kept; review updates in Project Skills.

{

"mcpServers": { "funplay_cocos": { "type": "http", "url": "http://127.0.0.1:8765/" } } }

DeepSeek Harness (DSH)

Select DeepSeek Harness (DSH) in the MCP Server panel. Configure generates /.dsh/funplay-cocos-mcp.patch.json, a JSON-formatted YAML overlay for the official Cordis MCP client. It does not change $DSH_HOME, global/profile YAML, dependencies, credentials, or approval settings.

The overlay is not auto-loaded. Start DSH from the Cocos project directory using the exact command shown in the panel, or add its `--

Only the beginning is shown; read the rest in the repo

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