Prompt Optimizer MCP Server
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 |
|---|---|
| optimize_promptC | 优化和增强提示词以获得更好的 AI 交互效果。此工具分析提示词并应用各种优化策略来改善清晰度、具体性、结构和有效性。 |
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, there is no possibility of ambiguity or overlap with other tools. The tool's purpose is clearly defined as optimizing prompts for better AI interactions, making it distinct by default.
The single tool name 'optimize_prompt' follows a consistent verb_noun pattern (optimize + prompt). Since there is only one tool, naming consistency is inherently perfect with no deviations to assess.
A single tool is too few for a server named 'Prompt Optimizer MCP Server', which suggests a broader scope of prompt-related operations. The tool count feels thin and incomplete for the implied domain, lacking basic functionalities like analyzing, testing, or comparing prompts.
The server is severely incomplete for prompt optimization. It only provides optimization but misses essential operations such as analyzing prompt effectiveness, generating variations, testing prompts, or managing prompt history, leaving significant gaps in the workflow.