PromptTuner MCP
by j0hanz
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LLM_MODEL | No | Optional: override default model for the chosen provider | |
| LLM_PROVIDER | No | Choose LLM provider (openai, anthropic, or google) | openai |
| GOOGLE_API_KEY | No | Google API key for Gemini models (Gemini 2.0 Flash, Gemini 1.5 Pro) - Get from https://aistudio.google.com/apikey | |
| OPENAI_API_KEY | No | OpenAI API key for GPT models (gpt-4o, gpt-4o-mini, gpt-4-turbo) - Get from https://platform.openai.com/api-keys | |
| ANTHROPIC_API_KEY | No | Anthropic API key for Claude models (Claude 3.5 Sonnet/Haiku) - Get from https://console.anthropic.com |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| fix_promptB | Polish and refine a prompt for better clarity, readability, and flow. |
| boost_promptB | Transform a prompt using prompt engineering best practices for maximum clarity and effectiveness. |
| crafting_promptB | Generate a structured, reusable workflow prompt for complex tasks based on a raw request and a few settings. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| fix-prompt | Template for fixing grammar and clarity |
| boost-prompt | Template for boosting prompt effectiveness |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/j0hanz/prompt-tuner-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server