A Rust-based MCP (Model Context Protocol) server that enhances your prompts using AI to make them clearer and more effective.

This tool helps you improve your prompts before sending them to AI models. It can:

• Make prompts clearer and more specific
• Add context and structure
• Adjust tone and style
• Support different languages
• Provide quality assurance
• Sequential thinking for step-by-step reasoning

• Rust 1.75 or newer
• OpenRouter API key

1. Clone and build:

   git clone <repository-url>
   cd anytra
   cargo build --release

2. Get an OpenRouter API key:

   • Sign up at openrouter.ai
   • Get your API key from the dashboard

3. Set up environment:

   export OPENROUTER_API_KEY=your_api_key_here
   # Optional: set model preference
   export OPENROUTER_MODEL=openrouter/auto
   # Optional: enable sequential thinking by default
   export ENABLE_SEQUENTIAL_THINKING=true

4. Run the server:

   cargo run -- --log-level info

echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"enhance_prompt","arguments":{"prompt":"write code for fibonacci"}}}' | cargo run --quiet --

For complex problems that benefit from step-by-step reasoning:

echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"enhance_prompt","arguments":{"prompt":"solve this coding problem","goal":"provide step-by-step solution","enable_sequential_thinking":true,"thought_count":3}}}' | cargo run --quiet --

You can enable sequential thinking by default for all requests:

export ENABLE_SEQUENTIAL_THINKING=true
# Now all prompts will use sequential thinking unless explicitly disabled
echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"enhance_prompt","arguments":{"prompt":"complex problem"}}}' | cargo run --quiet --

Update your MCP config file:

{
  "mcpServers": {
    "prompt-enhancer": {
      "command": "/path/to/mcp-prompt-server/target/release/mcp-prompt-server",
      "args": ["--log-level", "info"],
      "env": {
        "OPENROUTER_API_KEY": "your_api_key_here",
        "ENABLE_SEQUENTIAL_THINKING": "true"
      }
    }
  }
}

• AI-Powered Enhancement: Uses OpenRouter API for intelligent prompt improvement
• Quality Validation: Ensures enhanced prompts meet quality standards
• Fallback Support: Works even when AI services are unavailable
• Flexible Options: Customize enhancement with goals, styles, tones, and more
• Multi-language Support: Enhance prompts in different languages
• Sequential Thinking: Enable step-by-step reasoning for complex problem-solving

• --log-level <level>: Set logging level (error, warn, info, debug, trace)
• --shutdown-timeout <secs>: Graceful shutdown timeout in seconds (default: 5)

• OPENROUTER_API_KEY: Required for AI enhancement
• OPENROUTER_MODEL: Optional model selection (default: openrouter/auto)
• OPENROUTER_REFERER: Optional, recommended for routing
• OPENROUTER_TITLE: Optional, recommended for routing
• ENABLE_SEQUENTIAL_THINKING: Enable sequential thinking by default (true/false, default: true)

Run tests:

cargo test

Test the server:

echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | cargo run --quiet --

anytra/
├── src/
│   ├── domain/           # Core business logic
│   │   ├── models.rs     # Data structures
│   │   ├── llm.rs        # AI provider interface
│   │   ├── validation.rs # Quality checks
│   │   ├── fewshot.rs    # Example prompts
│   │   └── sequential_thinking.rs # Sequential thinking logic
│   ├── usecases/         # Application logic
│   │   └── enhance_prompt.rs
│   ├── infrastructure/   # External services
│   │   ├── config.rs     # Environment configuration
│   │   ├── logger.rs     # Logging setup
│   │   └── providers/
│   │       └── openrouter.rs
│   └── interface/        # MCP server
│       └── mcp/
│           └── server.rs
├── Cargo.toml
└── README.md