PowerPoint Translator
About
Translate PowerPoint files using AWS Bedrock. Requires AWS credentials to be configured.
Details
- Author
- zhuermu
- Categories
- Productivity, Other
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Option 1: AWS CLI Configuration (Recommended)
Then add to your Amazon Q configuration:
{ "mcpServers": { "ppt-translator": { "timeout": 300, "type": "stdio", "command": "python", "args": [ "/path/to/mcpppttranslator/server.py", "--mcp" ], "env": { "AWS_REGION": "us-east-1", "DEFAULT_TARGET_LANGUAGE": "zh-CN" } } } }
Option 2: Direct Credential Configuration
{ "mcpServers": { "ppt-translator": { "timeout": 300, "type": "stdio", "command": "python", "args": [ "/path/to/mcpppttranslator/server.py", "--mcp" ], "env": { "AWS_ACCESS_KEY_ID": "your-access-key", "AWS_SECRET_ACCESS_KEY": "your-secret-key", "AWS_REGION": "us-east-1", "DEFAULT_TARGET_LANGUAGE": "zh-CN" } } } }
Once configured, you can use natural language commands:
Translate my presentation.pptx to Japanese using the Nova model
# Run in MCP mode python server.py --mcp # Direct translation python server.py --translate --input-file presentation.pptx --target-language ja # List supported languages python server.py --list-languages
-
translate_ppt- Translate a PowerPoint document
- input_file: Path to the input PowerPoint file (required)
- target_language: Target language code (default: zh-CN)
- output_file: Path to save the translated file (optional)
- translation_method: Translation method, 'nova' or 'claude' (default: nova)
list_supported_languages- List all supported target languages
- --mcp: Run in MCP mode
- --translate: Translate a PowerPoint file
- --input-file: Path to the input PowerPoint file
- --target-language: Target language code
- --output-file: Path to save the translated file
- --model-id: Translation model ID (choices: 'amazon.nova-micro-v1:0', 'amazon.nova-lite-v1:0')
- --list-languages: List supported languages
- --install-deps: Install required dependencies
- --use-uv: Use uv package manager instead of pip
- --venv: Create and use a virtual environment with uv
- --venv-path: Path for the virtual environment (default: ./venv)
-
AWS Credentials: Ensure AWS credentials are properly configured viaaws configureor environment variables.
Missing Dependencies: Runpython server.py --install-depsto install required packages.
MCP Protocol Errors: The server implements full MCP protocol compliance. If you encounter initialization errors, ensure you're using a compatible MCP client.
File Permissions: Ensure the server.py file has execute permissions:chmod +x server.py
git clone https://github.com/yourusername/mcpppttranslator.git cd mcpppttranslator python server.py --install-deps --use-uv --venv
This server implements the full MCP protocol specification including:
- Properinitializemethod handling
- Standardtools/listandtools/callmethods
- Correct JSON-RPC 2.0 response formatting
- Error handling and graceful degradation
- Backward compatibility with legacy MCP methods
Compare LLM cost & latency on one prompt, translate PDF keeping layout, cited research, make PPTX
Evaluates technical documentation against globalization standards, analyzing for translation issues, ambiguity, and sentence length.
Manage translation projects, phrases, locales, dictionaries, and team data with secure organization-scoped tools.
This is the 1st, easiest, and cheapest PPT, slides, presentation AI generation MCP Server in the world.
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A Model Context Protocol (MCP) service that provides PowerPoint translation capabilities using AWS Bedrock models.
- Translate PowerPoint presentations to multiple languages
- Preserve formatting during translation
- Support for AWS Bedrock Nova models
- Intelligent handling of proper nouns, brand names, and special content
- Full MCP protocol compliance with proper initialization and tool handling
- Fallback implementation when MCP library is not available
- Simplified Chinese (zh-CN)
- Traditional Chinese (zh-TW)
- English (en)
- Japanese (ja)
- Korean (ko)
- French (fr)
- German (de)
- Spanish (es)
- Python 3.8+
- AWS account with Bedrock access
- AWS credentials configured (viaaws configureor environment variables)
# Clone the repository git clone https://github.com/yourusername/mcpppttranslator.git cd mcpppttranslator # Install dependencies python server.py --install-deps # Or use uv for faster installation python server.py --install-deps --use-uv
# Create virtual environment with uv python server.py --install-deps --use-uv --venv # Or specify custom path python server.py --install-deps --use-uv --venv --venv-path /path/to/custom/venv
Option 1: AWS CLI Configuration (Recommended)
Then add to your Amazon Q configuration:
{ "mcpServers": { "ppt-translator": { "timeout": 300, "type": "stdio", "command": "python", "args": [ "/path/to/mcpppttranslator/server.py", "--mcp" ], "env": { "AWS_REGION": "us-east-1", "DEFAULT_TARGET_LANGUAGE": "zh-CN" } } } }
Option 2: Direct Credential Configuration
{ "mcpServers": { "ppt-translator": { "timeout": 300, "type": "stdio", "command": "python", "args": [ "/path/to/mcpppttranslator/server.py", "--mcp" ], "env": { "AWS_ACCESS_KEY_ID": "your-access-key", "AWS_SECRET_ACCESS_KEY": "your-secret-key", "AWS_REGION": "us-east-1", "DEFAULT_TARGET_LANGUAGE": "zh-CN" } } } }
Once configured, you can use natural language commands:
Translate my presentation.pptx to Japanese using the Nova model
# Run in MCP mode python server.py --mcp # Direct translation python server.py --translate --input-file presentation.pptx --target-language ja # List supported languages python server.py --list-languages
-
translate_ppt- Translate a PowerPoint document
- input_file: Path to the input PowerPoint file (required)
- target_language: Target language code (default: zh-CN)
- output_file: Path to save the translated file (optional)
- translation_method: Translation method, 'nova' or 'claude' (default: nova)
list_supported_languages- List all supported target languages
- --mcp: Run in MCP mode
- --translate: Translate a PowerPoint file
- --input-file: Path to the input PowerPoint file
- --target-language: Target language code
- --output-file: Path to save the translated file
- --model-id: Translation model ID (choices: 'amazon.nova-micro-v1:0', 'amazon.nova-lite-v1:0')
- --list-languages: List supported languages
- --install-deps: Install required dependencies
- --use-uv: Use uv package manager instead of pip
- --venv: Create and use a virtual environment with uv
- --venv-path: Path for the virtual environment (default: ./venv)
-
AWS Credentials: Ensure AWS credentials are properly configured viaaws configureor environment variables.
Missing Dependencies: Runpython server.py --install-depsto install required packages.
MCP Protocol Errors: The server implements full MCP protocol compliance. If you encounter initialization errors, ensure you're using a compatible MCP client.
File Permissions: Ensure the server.py file has execute permissions:chmod +x server.py
git clone https://github.com/yourusername/mcpppttranslator.git cd mcpppttranslator python server.py --install-deps --use-uv --venv
This server implements the full MCP protocol specification including:
- Properinitializemethod handling
- Standardtools/listandtools/callmethods
- Correct JSON-RPC 2.0 response formatting
- Error handling and graceful degradation
- Backward compatibility with legacy MCP methods
Compare LLM cost & latency on one prompt, translate PDF keeping layout, cited research, make PPTX
Evaluates technical documentation against globalization standards, analyzing for translation issues, ambiguity, and sentence length.
Manage translation projects, phrases, locales, dictionaries, and team data with secure organization-scoped tools.
This is the 1st, easiest, and cheapest PPT, slides, presentation AI generation MCP Server in the world.
An MCP server for WordPress plugin audits
Create online, editable presentations from any MCP-compatible AI assistant.
An MCP server to connect and interact with all your social media
On-device tools to detect AI-generated text and images, score readability, and strip AI artifacts, running locally on Apple silicon.
Your YouTube AI Assistant To Create More Videos And Save 10+ Hours A Week
Turn YouTube playlists into AI-generated flashcards with spaced repetition — create, search, and export decks via MCP.
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