claude-orator-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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| orator_optimizeA | Analyze and optimize a prompt using Anthropic best practices. Returns an optimized prompt scaffold with score metrics, detected issues, and applied techniques. |
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 1 tool
With only one tool available, there is zero risk of confusion or overlapping purposes. The tool's function is unambiguous by nature of being the sole option.
The single tool name 'orator_optimize' follows a clear verb_noun pattern, and with only one tool there are no inconsistencies to evaluate. The name accurately reflects its function.
The server has exactly one tool, which feels thin for a general-purpose utility but is appropriate given the narrow scope of prompt optimization. It is borderline but not excessive.
The tool covers the core prompt optimization workflow—analysis, scoring, and generation of an optimized version. A possible gap is the lack of a separate analysis-only mode, but the combined approach is sufficient for the domain.