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MCP Prompts Rs

An AI prompt management server based on Rust, following the Model Context Protocol standard, providing prompt storage, retrieval, template variable support, and multi - backend storage functions.
2 points
18

What is MCP Prompts Server?

MCP Prompts Server is a central management system specifically designed for AI prompts. It allows you to create, store, and organize reusable prompt templates, which can contain variables for flexible use in different scenarios. The server follows the Model Context Protocol (MCP) standard to ensure compatibility with various AI applications.

How to use MCP Prompts Server?

You can use this service through a simple REST API or by directly integrating with AI applications such as Claude. After installation, you can start creating prompt templates, manage them by category, and call these templates to interact with AI when needed.

Applicable scenarios

Suitable for teams or individuals who need to use AI prompts frequently, especially those who want to standardize prompt formats, share prompt templates, or reuse prompts in different projects. Common use cases include customer service automation, content generation, code assistance, etc.

Main features

Prompt managementComplete CRUD functions, allowing you to create, read, update, and delete prompts, and supporting category and tag management
Template supportPrompts can contain variables, which are dynamically filled during use to improve reusability
Multiple storage backendsSupports two storage methods: file system and PostgreSQL, meeting the needs of different scales
Real - time updatesReal - time notifications of prompt changes are implemented through Server - Sent Events (SSE)
Project orchestrationProvides project template functions to automate the software project creation process

Advantages and limitations

Advantages
High - performance Rust implementation with fast response
Standardized MCP protocol with good compatibility
Flexible template system to improve work efficiency
Supports multiple storage backends for flexible deployment
Real - time update mechanism to keep data synchronized
Limitations
Basic technical knowledge is required for initial setup
The PostgreSQL backend requires an additional database service
Currently only supports REST API and lacks a graphical interface

How to use

Install the server
Clone the repository and build the project, or use the Docker image for quick deployment
Configure the server
Select the storage backend and set relevant parameters, such as database connection or file storage path
Integrate into AI applications
Configure the MCP server connection in AI applications such as Claude
Create and use prompts
Start creating and managing your prompt templates through the API or integrated applications

Usage examples

Customer support automationCreate standardized customer support response templates, and automatically fill in variables according to different types of problems to generate personalized responses
Project initializationUse project templates to quickly initialize a new code repository, including predefined directory structures, configuration files, and documentation templates

Frequently Asked Questions

What is MCP? Why is it important?
Do I need programming knowledge to use this server?
What is the difference between file system storage and PostgreSQL storage?
How to ensure the security of my prompts?

Related resources

Official documentation of Model Context Protocol
Official specifications and implementations of the MCP protocol
Original TypeScript implementation
A reference implementation of this project in TypeScript
Rust SDK for MCP
A Rust library for developing MCP - compatible applications
Docker deployment guide
A detailed guide on how to deploy this server using Docker
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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