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mcp-prompts-rs

Created By
sparesparrowa year ago
Rust-based server for managing AI prompts using the Model Context Protocol (MCP)
Content

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
  1. 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
  • PUT /prompts/:id: Update an existing prompt
  • DELETE /prompts/:id: Delete a prompt

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

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