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.
MCP Prompts Rs
@sparesparrow
Basic information
About MCP Prompts Rs
Rust-based server for managing AI prompts using the Model Context Protocol (MCP)
MCP Prompts Rs config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-prompts-rs": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-prompts-rs",
"."
]
}
}
}MCP Prompts Rs tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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
Frequently asked questions
What are the runtime requirements?
Rust 1.70 or higher and optionally PostgreSQL for database storage.
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.
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.
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`.
More Other MCP servers
Figs, Relationship Expert
Figs O'Sullivan, LMFTCouples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep
Glasswarp
GlasswarpSee and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.
Yuppsy
Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code
ICSS
chokcoco不止于 CSS
20.7K
Volley.sh
VolleyA good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi
Comments