PowerPoint Translator
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DEBUG | No | Enable debug logging | false |
| AWS_REGION | No | AWS region for Bedrock service | us-east-1 |
| BATCH_SIZE | No | Number of texts to process in a batch | 20 |
| MAX_TOKENS | No | Maximum tokens for translation requests | 4000 |
| AWS_PROFILE | No | AWS profile to use | default |
| FONT_KOREAN | No | Font to use for Korean text | 맑은 고딕 |
| TEMPERATURE | No | Temperature setting for AI model | 0.1 |
| FONT_CHINESE | No | Font to use for Chinese text | Microsoft YaHei |
| FONT_DEFAULT | No | Default font to use | Arial |
| FONT_ENGLISH | No | Font to use for English text | Amazon Ember |
| FONT_JAPANESE | No | Font to use for Japanese text | Yu Gothic UI |
| BEDROCK_MODEL_ID | No | Bedrock model ID for translation | us.anthropic.claude-3-7-sonnet-20250219-v1:0 |
| ENABLE_POLISHING | No | Enable translation polishing | true |
| AWS_ACCESS_KEY_ID | No | AWS Access Key ID (optional if using AWS CLI configuration) | |
| CONTEXT_THRESHOLD | No | Number of texts to trigger context-aware translation | 5 |
| AWS_DEFAULT_REGION | No | AWS default region (optional if using AWS CLI configuration) | |
| ENABLE_TEXT_AUTOFIT | No | Enable text autofit in post-processing | true |
| AWS_SECRET_ACCESS_KEY | No | AWS Secret Access Key (optional if using AWS CLI configuration) | |
| TEXT_LENGTH_THRESHOLD | No | Text length threshold for post-processing | 10 |
| DEFAULT_TARGET_LANGUAGE | No | Default target language for translation | ko |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| translate_powerpointC | Translate a PowerPoint presentation to the specified language. |
| translate_specific_slidesB | Translate specific slides in a PowerPoint presentation. |
| export_powerpoint_markdownB | Export one PowerPoint presentation as structured Markdown. |
| batch_export_powerpoint_markdownC | Export all PowerPoint files in a folder as Markdown. |
| get_slide_infoC | Get information about slides in a PowerPoint presentation. |
| get_slide_previewB | Get a detailed preview of a specific slide's content. |
| list_supported_languagesA | List all supported target languages for translation. Returns: List of supported language codes and names |
| list_supported_modelsA | List all supported Amazon Bedrock Mantle models for translation. Returns: List of supported model IDs |
| get_translation_helpA | Get help information about using the PowerPoint translator. Returns: Help text with usage examples |
| batch_translate_powerpointA | Translate all PowerPoint files in a folder (with optional recursive processing). |
| post_process_powerpointA | Apply post-processing to a PowerPoint presentation to optimize text boxes. This function enables text wrapping and shrink text on overflow for text boxes that contain text longer than the specified threshold. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 11 tools
Most tools are clearly distinct: translate vs. export vs. get info vs. list supported options. However, translate_powerpoint and batch_translate_powerpoint could be confused at first glance, though the batch prefix and description clarify the scope.
Tool names mostly follow a verb_noun pattern (translate_powerpoint, get_slide_info, list_supported_languages). Minor deviations: get_translation_help uses a noun phrase instead of a verb_noun form, and batch_export_powerpoint_markdown is longer but still consistent.
11 tools is well-scoped for a PowerPoint translation server. Each tool covers a distinct operation: translation, export, inspection, and configuration lookups, with no obvious redundancy.
The server covers the core workflow: translate, batch translate, export, inspect slides, and post-process. Minor gaps include no explicit tool for reverting translations or managing output destinations, but the surface is sufficient for the stated purpose.