Prompts.chat MCP
P

Prompts.chat MCP

The prompts.chat MCP server allows AI coding assistants to directly access thousands of AI prompts, supporting searching for, obtaining, and saving prompts, and providing a variable replacement function.
2.5 points
0

What is the prompts.chat MCP Server?

The prompts.chat MCP Server is a bridge that connects your AI programming assistant (such as Cursor, Windsurf, Claude Code, etc.) to the prompts.chat platform. It enables you to search, browse, and use thousands of high-quality AI prompt templates from prompts.chat directly in the editor, eliminating the need to switch browsers or copy and paste.

How to use the prompts.chat MCP Server?

You only need to configure the MCP server in your supported AI programming assistant. Then you can search for prompts through natural language commands, get details of specific prompts, and customize prompts using the variable replacement function. The entire process is completed within the editor and seamlessly integrated into your workflow.

Applicable scenarios

When you need to quickly find a suitable AI prompt template; when you want to reuse verified prompts across different projects; when you need to customize prompts but don't want to write them from scratch; when you want to improve the efficiency and quality of your interaction with the AI assistant.

Main Features

MCP Prompt Integration
Browse and use all public prompts on prompts.chat directly through the MCP protocol, supporting variable replacement and template usage.
Intelligent Search Function
Support searching for prompts by keywords, categories, tags, etc., to quickly find templates that meet your needs.
Prompt Details Retrieval
Get the complete information of a specific prompt by ID, including description, usage method, and variable instructions.
Automatic Variable Processing
Automatically recognize the ${variable} syntax in prompts, supporting variable replacement and customized usage.
Multi-client Support
Compatible with various AI programming assistants and editors such as Cursor, Windsurf, VS Code, Claude Code, and Zed.
Cloud and Local Deployment
Support two deployment methods: remote server (no installation required) and local server (full control).
Advantages
Seamless integration: Use directly in the editor without switching applications or copying and pasting
Vast resources: Access thousands of high-quality prompt templates on the prompts.chat platform
Easy to use: Search for and use prompts through natural language commands
Flexible customization: Support variable replacement to customize prompts according to your needs
Multi-platform compatibility: Support all mainstream AI programming assistants and editors
Simple configuration: Provide both remote and local deployment options to meet different needs
Limitations
Requires an MCP-compatible client: Only applicable to AI programming assistants that support the MCP protocol
Network dependency: A stable network connection is required for the remote server
Some functions require an API key: Functions such as saving prompts require a prompts.chat account and an API key
Learning curve: Initial configuration of the MCP server may require some technical knowledge

How to Use

Select and configure your AI programming assistant
Ensure that you are using an AI programming assistant that supports the MCP protocol, such as Cursor, Windsurf, VS Code, Claude Code, or Zed.
Add MCP server configuration
Add the prompts.chat MCP server configuration to the corresponding configuration file according to the assistant you selected. It is recommended to use the remote server for the best experience.
Restart or reload the assistant
After saving the configuration file, restart your AI programming assistant or reload the MCP configuration to make the changes take effect.
Start using prompts
Search for, obtain, and use prompts through natural language commands in the editor, for example: "Search for prompts related to code review".

Usage Examples

Code Review Assistant
When you need an AI assistant to help review code, you can quickly find professional code review prompt templates to improve the quality and efficiency of the review.
Technical Documentation Writing
When writing API documentation or technical instructions, use specialized documentation writing prompts to ensure clear document structure and complete content.
Learning a New Programming Language
When learning a new programming language, use prompt templates specific to that language to get more accurate and relevant learning guidance.
Creative Writing Assistance
When doing creative writing, use writing prompts with variable replacement to quickly generate content in different styles and themes.

Frequently Asked Questions

What is an MCP server? What do I need to install to use it?
What's the difference between the remote server and the local server? Which one should I choose?
Is there a fee for using this service?
What does the ${variable} syntax in prompts mean? How to use it?
Can I still use this service if my AI assistant doesn't support the MCP protocol?
How can I contribute my own prompts to prompts.chat?

Related Resources

prompts.chat Official Website
Browse all available prompt templates and learn about the platform's functions
API Documentation
Detailed API interface descriptions and technical references
GitHub Repository
View the source code, report issues, or contribute code
MCP Protocol Official Documentation
Learn about the technical specifications of the Model Context Protocol
List of Supported AI Assistants
View all AI programming assistants and tools that support the MCP protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "prompts-chat": {
      "url": "https://prompts.chat/api/mcp"
    }
  }
}

{
  "mcpServers": {
    "prompts-chat": {
      "command": "npx",
      "args": ["-y", "@fkadev/prompts.chat-mcp"]
    }
  }
}

{
  "mcpServers": {
    "prompts-chat": {
      "serverUrl": "https://prompts.chat/api/mcp"
    }
  }
}

{
  "mcpServers": {
    "prompts-chat": {
      "command": "npx",
      "args": ["-y", "@fkadev/prompts.chat-mcp"],
      "env": {
        "PROMPTS_API_KEY": "your-api-key",
        "PROMPTS_QUERY": "users=username&categories=coding&tags=productivity"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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