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.
@sparesparrow
基本情報
Rust-based server for managing AI prompts using the Model Context Protocol (MCP)
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-prompts-rs": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-prompts-rs",
"."
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.
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.
It is a Rust rewrite of the TypeScript implementation, providing the same prompt management capabilities with a different language and performance characteristics.
Rust 1.70 or higher and optionally PostgreSQL for database storage.
Prompts can be stored either on the filesystem (default directory) or in a PostgreSQL database, depending on the chosen storage backend.
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.
Yes, a Dockerfile is provided; build with `docker build -t mcp-prompts-rs .` and run with `docker run -p 8080:8080 mcp-prompts-rs`.

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