prompts.chat-mcp
Search and retrieve AI prompts from prompts.chat, the social platform for AI prompts.
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"@fkadev/prompts.chat-mcp": {
"args": [
"@fkadev/prompts.chat-mcp@1.0.9"
],
"command": "npx"
}
}
}可用工具 （5 个）
该服务在 MCP 协议中暴露的工具，AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数：query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数：urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数：url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数：url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数：input
服务介绍
# 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.)
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"]
}
}
}
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"]
}
}
}
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"]
}
}
}
# # # 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
Add this to your Zed settings.json:
{
"context_servers": {
"prompts-chat": {
"command": {
"path": "npx",
"args": ["-y", "@fkadev/prompts.chat-mcp"]
}
}
}
}
# ⚙️ 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
