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M MCP Servers Developer low

mnemox-ai/idea-reality-mcp

by Various

Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.

M

MCP

mnemox-ai/idea-reality-mcp

Added 1 June 2026

#ai-agents #developer-tools #github-api #idea-validation #market-research #mcp #mcp-server

Overview

An MCP server that scans GitHub, Hacker News, npm, PyPI, and Product Hunt to give AI coding agents a pre-build reality check. It helps agents validate whether an idea already exists or has traction before they start coding.

Best for

Best for
AI coding agents that need to avoid reinventing the wheel

Use cases

  • Validating if a project idea already exists on GitHub
  • Checking community traction on Hacker News or Product Hunt
  • Assessing package availability on npm or PyPI

How to use

Install

npx -y @smithery/cli install idea-reality-mcp --client claude

Tools exposed

  • idea_text

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, ChatGPT

Notes

An MCP server that scans GitHub, Hacker News, npm, PyPI, and Product Hunt to give AI coding agents a pre-build reality check. It helps agents validate whether an idea already exists or has traction before they start coding.

708 stars on GitHub. Last updated 2026-04-14. Licensed MIT.

Use cases

  • Validating if a project idea already exists on GitHub
  • Checking community traction on Hacker News or Product Hunt
  • Assessing package availability on npm or PyPI

Pros

  • Covers multiple popular platforms for a broad reality check
  • Reduces wasted development by catching prior art early
  • MCP protocol enables easy integration with AI coding agents

Cons

  • Limits scanning to the five listed platforms
  • Requires network access and API calls to each platform
  • Reality check depends on public data which may be incomplete

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Covers multiple popular platforms for a broad reality check
  • Reduces wasted development by catching prior art early
  • MCP protocol enables easy integration with AI coding agents

Cons

  • Limits scanning to the five listed platforms
  • Requires network access and API calls to each platform
  • Reality check depends on public data which may be incomplete
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