PPT-MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_presentationC | Create a new PowerPoint presentation with specified title and number of slides |
| edit_presentationC | Edit an existing PowerPoint presentation by adding slides or modifying content |
| read_presentationB | Read and extract content from PowerPoint presentations |
| analyze_presentationC | Analyze PowerPoint presentation structure, content, and provide insights |
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 4 tools
Each tool has a clearly distinct purpose: analyze for insights, create for new presentations, edit for modifications, and read for content extraction. There is no overlap in functionality, making tool selection straightforward for an agent.
All tool names follow a consistent verb_noun pattern (e.g., analyze_presentation, create_presentation), using snake_case throughout. This predictability enhances readability and usability for agents.
With 4 tools, the server is well-scoped for PowerPoint presentation management. Each tool serves a distinct and essential function (create, read, edit, analyze), with no unnecessary or redundant tools, making the count appropriate for the domain.
The toolset covers core CRUD-like operations (create, read, edit) and analysis, providing a solid foundation for presentation workflows. A minor gap exists in deletion or more advanced editing features, but agents can work effectively with the current tools.