prompts.chat MCP Server
Provides access to thousands of AI prompts from prompts.chat, enabling users to search, browse, and use community-curated prompts with variable substitution directly in their AI coding assistant.
README
<p align="center"> <img src="https://prompts.chat/logo.svg" alt="prompts.chat" width="200" /> </p>
<h1 align="center">prompts.chat MCP Server</h1>
<p align="center"> Access thousands of AI prompts directly in your AI coding assistant </p>
<p align="center"> <a href="https://prompts.chat"><img src="https://img.shields.io/badge/Website-prompts.chat-blue" alt="Website"></a> <a href="https://www.npmjs.com/package/@fkadev/prompts.chat-mcp"><img src="https://img.shields.io/npm/v/@fkadev/prompts.chat-mcp?color=red" alt="NPM Version"></a> <a href="./LICENSE"><img src="https://img.shields.io/npm/l/@fkadev/prompts.chat-mcp" alt="License"></a> </p>
Features
- MCP Prompts - Browse and use prompts directly via MCP prompts capability
- Search Prompts - Search for AI prompts by keyword, category, or tag
- Get Prompt - Retrieve prompt details by ID with variable substitution
- Variable Support - Prompts with
${variable}syntax are automatically handled
🛠️ Installation
Requirements
- Node.js >= v18.0.0
- An MCP-compatible client (Cursor, Windsurf, VS Code, Claude Code, etc.)
<details> <summary><b>Install in Cursor</b></summary>
Add this to your Cursor MCP config file (~/.cursor/mcp.json):
Remote Server (Recommended)
{
"mcpServers": {
"prompts-chat": {
"url": "https://prompts.chat/api/mcp"
}
}
}
Local Server
{
"mcpServers": {
"prompts-chat": {
"command": "npx",
"args": ["-y", "@fkadev/prompts.chat-mcp"]
}
}
}
</details>
<details> <summary><b>Install in Windsurf</b></summary>
Add this to your Windsurf MCP config file:
Remote Server (Recommended)
{
"mcpServers": {
"prompts-chat": {
"serverUrl": "https://prompts.chat/api/mcp"
}
}
}
Local Server
{
"mcpServers": {
"prompts-chat": {
"command": "npx",
"args": ["-y", "@fkadev/prompts.chat-mcp"]
}
}
}
</details>
<details> <summary><b>Install in VS Code</b></summary>
Add this to your VS Code MCP settings:
Remote Server (Recommended)
"mcp": {
"servers": {
"prompts-chat": {
"type": "http",
"url": "https://prompts.chat/api/mcp"
}
}
}
Local Server
"mcp": {
"servers": {
"prompts-chat": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@fkadev/prompts.chat-mcp"]
}
}
}
</details>
<details> <summary><b>Install in Claude Code</b></summary>
Remote Server (Recommended)
claude mcp add --transport http prompts-chat https://prompts.chat/api/mcp
Local Server
claude mcp add prompts-chat -- npx -y @fkadev/prompts.chat-mcp
</details>
<details> <summary><b>Install in Zed</b></summary>
Add this to your Zed settings.json:
{
"context_servers": {
"prompts-chat": {
"command": {
"path": "npx",
"args": ["-y", "@fkadev/prompts.chat-mcp"]
}
}
}
}
</details>
⚙️ Configuration
The local server supports the following environment variables:
| Variable | Description |
|---|---|
PROMPTS_API_KEY |
Optional API key for authenticated requests |
PROMPTS_QUERY |
Optional query string to filter prompts (e.g., users=a,b&categories=c,d&tags=e,f) |
Example with Environment Variables
{
"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"
}
}
}
}
🔨 Available Tools
| Tool | Description |
|---|---|
search_prompts |
Search for AI prompts by keyword. Supports filtering by type, category, and tag. |
get_prompt |
Get a prompt by ID. Supports variable elicitation for prompts with template variables. |
save_prompt |
Save a new prompt to your account. Requires PROMPTS_API_KEY. |
📚 MCP Prompts
This server exposes all public prompts from prompts.chat as MCP prompts. Use prompts/list to browse available prompts and prompts/get to retrieve them with variable substitution.
📖 Example Usage
Ask your AI assistant:
Search for prompts about code review
Get the prompt for "act as a linux terminal"
🔗 Links
- prompts.chat - Browse all prompts
- API Documentation - API reference
- GitHub - Source repository
📄 License
ISC
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.