@j0hanz/prompt-tuner-mcp-server
v1.3.3
Published
MCP server that refines and improves user prompts for AI-optimal readability
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PromptTuner MCP
PromptTuner MCP is an MCP server that fixes and boosts prompts using OpenAI, Anthropic, or Google Gemini.
What it does
- Validates and trims input prompts (enforces
MAX_PROMPT_LENGTH). - Wraps the prompt as JSON inside sentinel markers (sanitizing markers, bidi control chars, and null bytes).
- Calls the selected provider.
- Normalizes LLM output (strips code fences / labels if present).
- Returns human-readable text plus machine-friendly
structuredContent.
Features
- Polish and refine a prompt for clarity and flow (
fix_prompt). - Boost and enhance a prompt for clarity and effectiveness (
boost_prompt). - Craft a reusable workflow prompt for complex tasks (
crafting_prompt). - Simple structured outputs.
- Retry logic with exponential backoff for transient provider failures.
Quick Start
PromptTuner runs over stdio only. The dev:http and start:http scripts are compatibility aliases (no HTTP transport yet).
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"prompttuner": {
"command": "npx",
"args": ["-y", "@j0hanz/prompt-tuner-mcp-server@latest"],
"env": {
"LLM_PROVIDER": "openai",
"OPENAI_API_KEY": "sk-..."
}
}
}
}Replace the API key and provider with your preferred LLM. Only configure the key for the active provider.
Configuration
PromptTuner uses minimal configuration. Set the provider and API key, and you're ready to go.
| Variable | Default | Description |
| ------------------- | -------- | ----------------------------------------------------- |
| LLM_PROVIDER | openai | openai, anthropic, or google. |
| OPENAI_API_KEY | - | Required for all tools when LLM_PROVIDER=openai. |
| ANTHROPIC_API_KEY | - | Required for all tools when LLM_PROVIDER=anthropic. |
| GOOGLE_API_KEY | - | Required for all tools when LLM_PROVIDER=google. |
| LLM_MODEL | - | Override the default model. |
| DEBUG | false | Enable debug logging. |
All tools are LLM-backed and require an API key for the selected provider.
Default Models
| Provider | Default Model |
| ----------- | ---------------------------- |
| openai | gpt-4o |
| anthropic | claude-3-5-sonnet-20241022 |
| google | gemini-2.0-flash-exp |
CLI Options
| Flag | Description |
| --------------------------- | ----------------------------------- |
| -h, --help | Show help text. |
| -v, --version | Print version. |
| --debug / --no-debug | Enable/disable debug logging. |
| --llm-provider <provider> | openai, anthropic, or google. |
| --llm-model <name> | Override the default model. |
Tools
All tools accept plain text, Markdown, or XML prompts. Responses include content (human-readable) and structuredContent (machine-readable).
Inputs are strict: extra fields are rejected. For fix_prompt/boost_prompt, only the prompt field is accepted.
fix_prompt
Polish and refine a prompt for clarity and flow while preserving intent and structure.
| Parameter | Type | Required | Notes |
| --------- | ------ | -------- | ----------------------------------------------- |
| prompt | string | Yes | Trimmed, length-checked; extra fields rejected. |
Returns: ok, fixed.
boost_prompt
Refine and enhance a prompt for clarity and effectiveness.
| Parameter | Type | Required | Notes |
| --------- | ------ | -------- | ----------------------------------------------- |
| prompt | string | Yes | Trimmed, length-checked; extra fields rejected. |
Returns: ok, boosted.
crafting_prompt
Generate a structured, reusable workflow prompt for complex tasks based on a raw request and a few settings.
| Parameter | Type | Required | Notes |
| ------------- | ------ | -------- | ------------------------------------------------------- |
| request | string | Yes | Trimmed, length-checked; strict input. |
| constraints | string | No | Hard requirements to enforce (bullet list recommended). |
| mode | string | No | general, plan, review, troubleshoot. |
| approach | string | No | conservative, balanced, creative. |
| tone | string | No | direct, neutral, friendly. |
| verbosity | string | No | brief, normal, detailed. |
Returns: ok, prompt, settings.
Response Format
content: array of content blocks. First block is JSON forstructuredContent, second is a short human message (orError: ...).structuredContent: machine-parseable results.- Errors return
structuredContent.ok=falseand anerrorobject withcode,message, optionalcontext(sanitized, up to 200 chars),details, andrecoveryHint. - Error responses also include
isError: true.
Development
Prerequisites
- Node.js >= 22.0.0
- npm
Scripts
| Command | Description |
| ------------------------ | ----------------------------------------------------- |
| npm run build | Compile TypeScript and set permissions. |
| npm run prepare | Build on install (publishing helper). |
| npm run dev | Run from source in watch mode. |
| npm run dev:http | Alias of npm run dev (no HTTP transport yet). |
| npm run watch | TypeScript compiler in watch mode. |
| npm run start | Run the compiled server from dist/. |
| npm run start:http | Alias of npm run start (no HTTP transport yet). |
| npm run test | Run node:test once. |
| npm run test:coverage | Run node:test with experimental coverage. |
| npm run test:watch | Run node:test in watch mode. |
| npm run lint | Run ESLint. |
| npm run format | Run Prettier. |
| npm run type-check | TypeScript type checking. |
| npm run inspector | Run MCP Inspector against dist/index.js. |
| npm run inspector:http | Alias of npm run inspector (no HTTP transport yet). |
| npm run duplication | Run jscpd duplication report. |
| npm run prepublishOnly | Lint, type-check, and build before publish. |
Project Structure
src/
index.ts Entry point
cli.ts CLI parsing, logging bootstrap, shutdown handling
server.ts MCP server setup (stdio transport)
tools.ts Tool implementations
schemas.ts Zod input/output schemas
config.ts Configuration and constants
types.ts Shared types and error codes
lib/ Shared utilities (LLM, retry, telemetry, prompt utils)
tests/ node:test suites
dist/ Compiled output (generated)
docs/ Static assetsSecurity
- API keys are supplied only via environment variables.
- Inputs are validated with Zod and additional length checks.
- Error context is included in debug mode (sanitized and truncated to 200 chars).
- Google safety filters are always enabled.
Contributing
Pull requests are welcome. Please include a short summary, tests run, and note any configuration changes.
License
MIT License. See LICENSE for details.
