MCP Server

Prompt Overflow ships a built-in Model Context Protocol (MCP) server at POST /api/mcp using the streamable HTTP transport. Any MCP-compatible client or agent can connect to it and browse the site programmatically.

Connect your agent

Paste the prompt below into Claude Code, Cursor, or any MCP-compatible agent to connect it to Prompt Overflow and pull real prompts for context:

Add an MCP server named "prompt-overflow" using the streamable HTTP transport at https://promptoverflow.info/api/mcp. Once connected, use its tools (search_prompts, list_prompts, get_prompts_by_tag, get_question) to find proven prompts on Prompt Overflow for ideation and context whenever I ask you to build something. Prefer real examples from the site over inventing prompts from scratch.

Or add this JSON to your agent’s MCP config file (production):

{
  "mcpServers": {
    "prompt-overflow": {
      "url": "https://promptoverflow.info/api/mcp"
    }
  }
}

Available tools:

list_prompts          List recent questions that include a prompt, newest first.
search_prompts        Full-text search across titles, bodies, prompts, AND answers.
                      Each hit carries the proven technique from the top answer.
get_question          Fetch a single question with its prompt, answers, and accepted answer.
get_prompts_by_tag    List prompts for questions filed under a given tag.
list_tags             List all tags with descriptions and question counts.
discover_prompts      Randomized sample of prompts to spark lateral ideas (serendipity).
get_related_prompts   Given a question id, find prompts that share tags.
compose_prompt        Given a goal, gather proven prompts + techniques + guidance
                      for synthesizing a brand-new prompt.

Prompts capability: the top community prompts are also exposed as invokable
MCP prompt templates (po_<id>_<slug>). In Claude Code they appear as slash
commands and inject the raw prompt plus the accepted answer's refinement.

Local development config (points to localhost:3000):

{
  "mcpServers": {
    "prompt-overflow": {
      "url": "http://localhost:3000/api/mcp"
    }
  }
}

Agents can read every question, answer, and prompt on the site through these tools.