prompts.chat

prompts.chat provides an MCP-first API for searching and discovering AI prompts programmatically. Use the MCP endpoint directly with any MCP-compatible client, or make standard HTTP requests.

MCP-First API

Our API is built on the Model Context Protocol (MCP), enabling seamless integration with AI assistants, IDEs, and automation tools. The same endpoint works for both MCP clients and traditional REST-style requests.

# MCP Endpoint

POST https://prompts.huenewolke.de/api/mcp

Using with MCP Clients

Add prompts.chat to your MCP client configuration. Choose your client and connection type below:

{
  "mcp": {
    "servers": {
      "prompts.chat": {
        "type": "http",
        "url": "https://prompts.huenewolke.de/api/mcp"
      }
    }
  }
}

Remote connects directly to prompts.chat API. Local runs the MCP server locally via npx.

Authentication

Most API features work without authentication. However, to save prompts via MCP or access your private prompts, you need to authenticate using an API key.

Generate an API Key

Go to Settings to generate your API key. Keys start with pchat_.

Using the API Key

Pass your API key via the PROMPTS_API_KEY header.

# Remote: HTTP transport with headers
"prompts-chat": {
  "url": "https://prompts.huenewolke.de/api/mcp",
  "headers": {
    "PROMPTS_API_KEY": "pchat_your_api_key_here"
  }
}

# Local: stdio transport with environment variable
"prompts-chat": {
  "command": "npx",
  "args": ["-y", "@fkadev/prompts.chat-mcp"],
  "env": {
    "PROMPTS_API_KEY": "pchat_your_api_key_here"
  }
}

# Or via curl (remote)
curl -X POST https://prompts.huenewolke.de/api/mcp \
  -H "Content-Type: application/json" \
  -H "PROMPTS_API_KEY: pchat_your_api_key_here" \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}'

Remote (HTTP) sends requests to prompts.chat with the API key in headers. Local (stdio) runs the MCP server locally via npx with the API key as an environment variable. With authentication, you can use the save_prompt tool and search results will include your private prompts.

MCP Prompts

All public prompts are exposed as native MCP prompts. This allows MCP clients to list and use prompts directly via slash commands or prompt pickers. You can filter prompts by category or tag using URL query parameters.

# Filter by users (one or more usernames)
"prompts-chat": {
  "url": "https://prompts.huenewolke.de/api/mcp?users=f,torvalds"
}

# Filter by categories
"prompts-chat": {
  "url": "https://prompts.huenewolke.de/api/mcp?categories=coding,marketing"
}

# Filter by tags
"prompts-chat": {
  "url": "https://prompts.huenewolke.de/api/mcp?tags=chatgpt,writing"
}

# Combine filters
"prompts-chat": {
  "url": "https://prompts.huenewolke.de/api/mcp?users=f&categories=coding&tags=js"
}

prompts/list

Browse all available prompts with pagination support.

prompts/get

Retrieve a prompt by ID. Variables (${name} or ${name:default}) are automatically substituted with provided arguments.

# List prompts
curl -X POST https://prompts.huenewolke.de/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "prompts/list"}'

# Get a specific prompt with arguments
curl -X POST https://prompts.huenewolke.de/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc": "2.0",
    "id": 2,
    "method": "prompts/get",
    "params": {
      "name": "code-review-assistant",
      "arguments": { "topic": "AI safety" }
    }
  }'

Available Tools

search_prompts

Search for AI prompts by keyword. Returns matching prompts with title, description, content, author, category, and tags.

Parameter	Type	Required	Description
query	string	Yes	Search query to find relevant prompts
limit	number	No	Maximum results (default: 10, max: 50)
type	string	No	Filter by type: `TEXT`, `STRUCTURED`, `IMAGE`, `VIDEO`, `AUDIO`
category	string	No	Filter by category slug
tag	string	No	Filter by tag slug

get_prompt

Get a prompt by ID. If the prompt contains template variables (like ${variable} or ${variable:default}), the MCP client will be asked to provide values through elicitation.

Parameter	Type	Required	Description
id	string	Yes	The ID of the prompt to retrieve

Variable Elicitation

When a prompt contains variables like ${name} or ${topic:default value}, MCP clients that support elicitation will prompt the user to fill in these values. Variables with default values (after the colon) are optional. The prompt content will be returned with variables replaced.

save_promptRequires Auth

Save a new prompt to your account. Requires API key authentication. Prompts are private by default unless you've changed the default in your settings.

Parameter	Type	Required	Description
title	string	Yes	Title of the prompt (max 200 chars)
content	string	Yes	The prompt content. Can include variables like ${var}
description	string	No	Optional description (max 500 chars)
tags	string[]	No	Array of tag names (max 10)
category	string	No	Category slug
isPrivate	boolean	No	Override default privacy setting
type	string	No	`TEXT` (default), `STRUCTURED`, `IMAGE`, `VIDEO`, `AUDIO`

# Save a prompt via MCP
curl -X POST https://prompts.huenewolke.de/api/mcp \
  -H "Content-Type: application/json" \
  -H "PROMPTS_API_KEY: pchat_your_api_key_here" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "save_prompt",
      "arguments": {
        "title": "My Code Review Prompt",
        "content": "Review this code for ${language} best practices:\n\n${code}",
        "description": "A helpful code review assistant",
        "tags": ["coding", "review"],
        "isPrivate": false
      }
    }
  }'

MCP Protocol Examples

Initialize Connection

curl -X POST https://prompts.huenewolke.de/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "initialize",
    "params": {
      "protocolVersion": "2024-11-05",
      "capabilities": {},
      "clientInfo": { "name": "my-app", "version": "1.0.0" }
    }
  }'

List Available Tools

curl -X POST https://prompts.huenewolke.de/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc": "2.0",
    "id": 2,
    "method": "tools/list"
  }'

Search Prompts

curl -X POST https://prompts.huenewolke.de/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc": "2.0",
    "id": 3,
    "method": "tools/call",
    "params": {
      "name": "search_prompts",
      "arguments": {
        "query": "code review",
        "limit": 5
      }
    }
  }'

Response Format

The search_prompts tool returns results in the following format:

{
  "query": "code review",
  "count": 2,
  "prompts": [
    {
      "id": "abc123",
      "title": "Code Review Assistant",
      "description": "A prompt for conducting thorough code reviews",
      "content": "You are an expert code reviewer...",
      "type": "TEXT",
      "author": "username",
      "category": "Development",
      "tags": ["coding", "review", "development"],
      "votes": 42,
      "createdAt": "2024-01-15T10:30:00.000Z"
    }
  ]
}

REST API

Use the standard REST endpoint to search and retrieve prompts:

# Search prompts via REST
curl "https://prompts.huenewolke.de/api/prompts?q=code+review&perPage=10"

# Get prompt by ID
curl "https://prompts.huenewolke.de/api/prompts/{id}"

Rate Limits

The API is public and free to use. Please be respectful with request frequency. For high-volume usage, consider self-hosting your own instance.

Support

For issues and feature requests, please open a GitHub Issue.

API Documentation