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MCP Prompts Rs

@sparesparrow

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

sparesparrow

关于 MCP Prompts Rs

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

#mcp-prompts#ai-prompts#rust-server

MCP Prompts Rs 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-prompts-rs": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-prompts-rs",
        "."
      ]
    }
  }
}

MCP Prompts Rs 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is mcp-prompts-rs?

mcp-prompts-rs is a Rust-based server for managing AI prompts using the Model Context Protocol (MCP), an open standard for connecting AI applications to data sources and tools. It provides functionality for storing, retrieving, and managing prompts with template variables, categorization, and multiple storage backends. It is a Rust rewrite of the original mcp-prompts TypeScript implementation.

How to use mcp-prompts-rs?

Install Rust 1.70+, clone the repository, and build with cargo build. Start the server with cargo run or with custom options like --port 3000 --storage filesystem. Integrate with Claude Desktop by adding a server entry in the Claude config pointing to http://localhost:8080.

Key features of mcp-prompts-rs

  • Prompt management with CRUD operations and categorization
  • Template support with variables for runtime customization
  • Storage backends: filesystem and PostgreSQL
  • RESTful API with SSE for real-time updates
  • Implements MCP for integration with AI assistants
  • Docker support and health check endpoints

Use cases of mcp-prompts-rs

  • Store and retrieve AI prompts with categories
  • Customize prompts with template variables
  • Automate software project creation using templates
  • Receive real-time updates via Server-Sent Events
  • Deploy with Docker for consistent environments

常见问题

1

How does mcp-prompts-rs differ from the original mcp-prompts?

It is a Rust rewrite of the TypeScript implementation, providing the same prompt management capabilities with a different language and performance characteristics.

2

What are the runtime requirements?

Rust 1.70 or higher and optionally PostgreSQL for database storage.

3

Where are prompts stored?

Prompts can be stored either on the filesystem (default directory) or in a PostgreSQL database, depending on the chosen storage backend.

4

What API does it expose?

It exposes RESTful endpoints for CRUD operations on prompts (`GET /prompts`, `POST /prompts`, etc.) and a Server-Sent Events endpoint (`GET /events`) for real-time updates.

5

Can I run it with Docker?

Yes, a Dockerfile is provided; build with `docker build -t mcp-prompts-rs .` and run with `docker run -p 8080:8080 mcp-prompts-rs`.

评论

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