prompt-enhancement-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | No | API key for Gemini provider | |
| OPENAI_API_KEY | No | API key for OpenAI provider | |
| ANTHROPIC_API_KEY | No | API key for Anthropic provider | |
| OPENROUTER_API_KEY | No | API key for OpenRouter provider | |
| PROMPT_ENHANCER_CONFIG | No | Path to custom config file | |
| PROMPT_ENHANCER_LOG_LEVEL | No | Log level: debug, info, warn, error | |
| PROMPT_ENHANCER_DEFAULT_PROVIDER | No | Default provider to use (e.g., 'anthropic', 'openai') |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| enhance_promptC | Enhances a user prompt using AI to make it more detailed, clear, and effective |
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
There is only one tool, so there is no possibility of misselection or overlap. Its purpose is unambiguous.
The single tool follows a clean verb_noun snake_case convention (enhance_prompt). No inconsistencies are possible with one tool.
One tool matches the narrowly stated purpose but is thin even for that scope. There is no room for variants (e.g. tone, length, format options) that a prompt-enhancement service would plausibly offer.
The core enhancement operation is covered, but the surface is a single dead-end call with no options for enhancement style, target format, or refinement iterations. Usable but notably shallow for the domain.