Publish to Docker Hub

.github/workflows/publish-docker.yml

@@ -0,0 +1,47 @@
+name: Publish Docker image 🐳
+
+on:
+  push:
+    tags:
+      - "*"
+  workflow_dispatch:
+jobs:
+  push_to_registry:
+    name: Push Docker image to Docker Hub
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Check out the repo
+        uses: actions/checkout@v6
+
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_PASSWORD }}
+
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ secrets.DOCKER_USERNAME }}/mcp-for-unity-server
+          tags: |
+            type=semver,pattern={{version}}
+            type=semver,pattern={{major}}.{{minor}}
+            type=ref,event=branch
+            type=sha
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          file: Server/Dockerfile
+          platforms: linux/amd64
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max

.github/workflows/publish-pypi.yml

@@ -1,6 +1,10 @@
-name: Publish Python 🐍 distribution 📦 to PyPI and TestPyPI
+name: Publish Python 🐍 distribution 📦 to PyPI
 
-on: push
+on:
+  push:
+    tags:
+      - "*"
+  workflow_dispatch:
 
 jobs:
   build:
@@ -32,7 +36,6 @@ jobs:
   publish-to-pypi:
     name: >-
       Publish Python 🐍 distribution 📦 to PyPI
-    if: startsWith(github.ref, 'refs/tags/') # only publish to PyPI on tag pushes
     needs:
       - build
     runs-on: ubuntu-latest
@@ -50,27 +53,3 @@ jobs:
           path: dist/
       - name: Publish distribution 📦 to PyPI
         uses: pypa/gh-action-pypi-publish@release/v1
-
-  publish-to-testpypi:
-    name: Publish Python 🐍 distribution 📦 to TestPyPI
-    needs:
-      - build
-    runs-on: ubuntu-latest
-
-    environment:
-      name: testpypi
-      url: https://test.pypi.org/p/mcpforunityserver
-
-    permissions:
-      id-token: write # IMPORTANT: mandatory for trusted publishing
-
-    steps:
-      - name: Download all the dists
-        uses: actions/download-artifact@v7
-        with:
-          name: python-package-distributions
-          path: dist/
-      - name: Publish distribution 📦 to TestPyPI
-        uses: pypa/gh-action-pypi-publish@release/v1
-        with:
-          repository-url: https://test.pypi.org/legacy/

Server/DOCKER_OVERVIEW.md

@@ -0,0 +1,88 @@
+# MCP for Unity Server (Docker Image)
+
+[![MCP](https://badge.mcpx.dev?status=on 'MCP Enabled')](https://modelcontextprotocol.io/introduction)
+[![License](https://img.shields.io/badge/License-MIT-red.svg 'MIT License')](https://opensource.org/licenses/MIT)
+[![Discord](https://img.shields.io/badge/discord-join-red.svg?logo=discord&logoColor=white)](https://discord.gg/y4p8KfzrN4)
+
+Model Context Protocol server for Unity Editor integration. Control Unity through natural language using AI assistants like Claude, Cursor, and more.
+
+**Maintained by [Coplay](https://www.coplay.dev/?ref=unity-mcp)** - This project is not affiliated with Unity Technologies.
+
+💬 **Join our community:** [Discord Server](https://discord.gg/y4p8KfzrN4)
+
+**Required:** Install the [Unity MCP Plugin](https://github.com/CoplayDev/unity-mcp?tab=readme-ov-file#-step-1-install-the-unity-package) to connect Unity Editor with this MCP server.
+
+---
+
+## Quick Start
+
+### 1. Pull the image
+
+```bash
+docker pull msanatan/mcp-for-unity-server:latest
+```
+
+### 2. Run the server
+
+```bash
+docker run -p 8080:8080 msanatan/mcp-for-unity-server:latest
+```
+
+This starts the MCP server on port 8080.
+
+### 3. Configure your MCP Client
+
+Add the following configuration to your MCP client (e.g., Claude Desktop config, Cursor settings):
+
+```json
+{
+  "mcpServers": {
+    "UnityMCP": {
+      "url": "http://localhost:8080/mcp"
+    }
+  }
+}
+```
+
+---
+
+## Configuration
+
+The server connects to the Unity Editor automatically when both are running. No additional configuration is needed.
+
+**Environment Variables:**
+
+- `DISABLE_TELEMETRY=true` - Opt out of anonymous usage analytics
+- `LOG_LEVEL=DEBUG` - Enable detailed logging (default: INFO)
+
+Example running with environment variables:
+
+```bash
+docker run -p 8080:8080 -e LOG_LEVEL=DEBUG msanatan/mcp-for-unity-server:latest
+```
+
+---
+
+## Example Prompts
+
+Once connected, try these commands in your AI assistant:
+
+- "Create a 3D player controller with WASD movement"
+- "Add a rotating cube to the scene with a red material"
+- "Create a simple platformer level with obstacles"
+- "Generate a shader that creates a holographic effect"
+- "List all GameObjects in the current scene"
+
+---
+
+## Documentation
+
+For complete documentation, troubleshooting, and advanced usage, please visit the GitHub repository:
+
+📖 **[Full Documentation](https://github.com/CoplayDev/unity-mcp#readme)**
+
+---
+
+## License
+
+MIT License - See [LICENSE](https://github.com/CoplayDev/unity-mcp/blob/main/LICENSE)