mcp-prompts-rs

mcp-prompts-rs

A Rust-based server for managing AI prompts using the Model Context Protocol (MCP).

Overview

mcp-prompts-rs is a Rust implementation of a prompt management server that adheres to the Model Context Protocol (MCP), an open standard for connecting AI applications to data sources and tools. This project is a Rust rewrite of the original mcp-prompts TypeScript implementation.

The server provides functionality for storing, retrieving, and managing AI prompts with support for template variables, categorization, and multiple storage backends.

Features

• Prompt Management: Create, retrieve, update, and delete prompts with categorization
• Template Support: Create prompts with variables for runtime customization
• Storage Backends: Support for file system and PostgreSQL storage options
• API: RESTful endpoints with Server-Sent Events (SSE) for real-time updates
• MCP Integration: Implements the Model Context Protocol for seamless integration with AI assistants like Claude
• Project Orchestration: Tools for automating software project creation using templates
• Deployment: Docker support and health check endpoints

Installation

Prerequisites

• Rust 1.70 or higher
• Cargo (Rust's package manager)
• Optional: PostgreSQL for database storage

Setup

1. Clone the repository:

git clone https://github.com/your-username/mcp-prompts-rs.git
cd mcp-prompts-rs

2. Build the project:

cargo build

Usage

Running the Server

Start the server with default settings:

cargo run

With custom configuration:

cargo run -- --port 3000 --storage filesystem

CLI Options

• --port <PORT>: Set the server port (default: 8080)
• --storage <TYPE>: Choose storage backend (filesystem, postgres)
• --db-url <URL>: PostgreSQL connection string (when using postgres storage)
• --prompt-dir <DIR>: Directory for prompt storage (when using filesystem storage)

Integration with Claude

To integrate with Claude Desktop:

1. Open Claude Desktop
2. Go to Settings → Developer → Edit Config
3. Add the following to your configuration:

{
  "mcp": {
    "servers": [
      {
        "name": "mcp-prompts-rs",
        "url": "http://localhost:8080"
      }
    ]
  }
}

API Endpoints

Prompts

• GET /prompts: List all prompts
• GET /prompts/:id: Get a specific prompt
• POST /prompts: Create a new prompt (requires at least name and content fields)
• PUT /prompts/:id: Update an existing prompt (requires at least name and content fields)
• DELETE /prompts/:id: Delete a prompt

Example Usage (with curl)

• List all prompts:

  curl -X GET http://localhost:3000/prompts
  

• Create a prompt:

  curl -X POST http://localhost:3000/prompts \
    -H "Content-Type: application/json" \
    -d '{"name": "test-prompt", "title": "Test Prompt", "content": "This is a test prompt."}'
  

• Get a prompt by ID:

  curl -X GET http://localhost:3000/prompts/<id>
  

• Update a prompt:

  curl -X PUT http://localhost:3000/prompts/<id> \
    -H "Content-Type: application/json" \
    -d '{"name": "test-prompt", "title": "Updated Test Prompt", "content": "This is an updated test prompt."}'
  

• Delete a prompt:

  curl -X DELETE http://localhost:3000/prompts/<id>
  

SSE

• GET /events: Server-Sent Events endpoint for real-time updates

Development

Project Structure

• src/main.rs: Entry point and server setup
• src/prompt/: Prompt models and logic
• src/storage/: Storage backend implementations
• src/api/: API endpoint handlers
• src/template/: Template processing utilities

Building from Source

cargo build

Running Tests

cargo test

Docker Support

Build and run with Docker:

docker build -t mcp-prompts-rs .
docker run -p 8080:8080 mcp-prompts-rs

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Acknowledgments

• Original mcp-prompts TypeScript project
• Model Context Protocol
• Rust SDK for MCP