
Idea Reality MCP
Idea Reality MCP is an open-source MCP server that provides pre-build reality checks for AI coding agents. It automatically scans GitHub, Hacker News, npm, PyPI, Product Hunt, and Stack Overflow for existing projects, returning a 0-100 reality signal, duplicate likelihood, top competitors, evidence, and pivot suggestions before any code is written.
Overview
Idea Reality MCP (also known as idea-reality-mcp) is a lightweight, open-source MCP-compatible server developed by mnemox-ai. It solves a common pain point for AI coding agents and developers: spending hours or days building something only to discover it already exists.
The server acts as a protocol-layer tool that AI agents (like Claude or Cursor) can call automatically. It performs real-time searches across multiple public databases and returns objective, verifiable data so the agent can decide whether to proceed, pivot, or abandon the idea — before writing a single line of code.
It gained rapid popularity after its Show HN launch in February 2026, reaching hundreds of stars on GitHub.
Key Features
- Multi-Source Reality Scanning: Queries GitHub (repos & stars), Hacker News (discussions), npm & PyPI (packages), Product Hunt (launches), and Stack Overflow.
- Quantified Reality Signal: Returns a 0-100 score indicating how "real" / saturated the idea is, along with duplicate likelihood.
- Actionable Output: Top similar projects, competitor analysis, evidence links, trend detection, and intelligent pivot suggestions.
- Automatic Integration: Designed for seamless use inside agent workflows — no manual searches required.
- Lightweight & Zero-Config: Runs via
uvx, works with Claude Desktop, Cursor, Windsurf, and any MCP client. - Privacy-First: Searches are performed on-demand with real API calls; no data stored.
- MIT Licensed: Fully open source and extensible.
How It Works
When an AI agent receives a project idea or spec, it can call the idea_check tool provided by the MCP server. The server aggregates fresh data from public sources, analyzes overlap, and responds with structured JSON including:
reality_signal(0-100)duplicate_likelihood- List of top similar repos/projects with links and metrics
- Evidence summaries
- Pivot or differentiation recommendations
This keeps the agent grounded in reality and prevents wasted effort on saturated ideas.
Quick Start
# One-command install and run
uvx idea-reality-mcp
Add to Claude / Cursor (example config):
{
"mcpServers": {
"idea-reality": {
"command": "uvx",
"args": ["idea-reality-mcp"]
}
}
}
The agent will then automatically invoke the check during planning.
Use Cases
- Preventing AI agents from duplicating popular open-source tools or startups
- Early-stage idea validation for solo developers and indie hackers
- Enterprise prompt engineering workflows that require grounded research
- Integration into autonomous coding agents, research agents, or product-building loops
- Complementing tools like Cursor, Claude Code, or other MCP-powered IDE experiences
Background & Status
Created after the maintainer wasted 6 hours building a tool that already had 847 similar GitHub repos. Released as a practical MCP server rather than a SaaS dashboard. Actively maintained, with ongoing improvements to search coverage and scoring logic.
GitHub Repository: https://github.com/mnemox-ai/idea-reality-mcp (MIT License)
Also listed on MCP registries including smithery.ai, mcpservers.org, and others.
For the latest version, documentation, and web demo, visit the official GitHub repository.
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