MCPHub LabRegistryidea-reality-mcp
mnemox-ai

idea reality mcp

Built by mnemox-ai β€’ 437 stars

What is idea reality mcp?

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

How to use idea reality mcp?

1. Install a compatible MCP client (like Claude Desktop). 2. Open your configuration settings. 3. Add idea reality mcp using the following command: npx @modelcontextprotocol/idea-reality-mcp 4. Restart the client and verify the new tools are active.
πŸ›‘οΈ Scoped (Restricted)
npx @modelcontextprotocol/idea-reality-mcp --scope restricted
πŸ”“ Unrestricted Access
npx @modelcontextprotocol/idea-reality-mcp

Key Features

Native MCP Protocol Support
Real-time Tool Activation & Execution
Verified High-performance Implementation
Secure Resource & Context Handling

Optimized Use Cases

Extending AI models with custom local capabilities
Automating system workflows via natural language
Connecting external data sources to LLM context windows

idea reality mcp FAQ

Q

Is idea reality mcp safe?

Yes, idea reality mcp follows the standardized Model Context Protocol security patterns and only executes tools with explicit user-granted permissions.

Q

Is idea reality mcp up to date?

idea reality mcp is currently active in the registry with 437 stars on GitHub, indicating its reliability and community support.

Q

Are there any limits for idea reality mcp?

Usage limits depend on the specific implementation of the MCP server and your system resources. Refer to the official documentation below for technical details.

Official Documentation

View on GitHub
<!-- mcp-name: io.github.mnemox-ai/idea-reality-mcp -->

English | 繁體中文

idea-reality-mcp

How to check if someone already built your app idea β€” automatically.

idea-reality-mcp is an MCP server that scans GitHub, npm, PyPI, Hacker News, Product Hunt, and Stack Overflow to check if your startup idea already exists. It returns a 0–100 reality score with evidence, trend detection, and pivot suggestions β€” so your AI agent can decide whether to build, pivot, or kill the idea before writing any code.

When to use this: You're about to start a new project and want to know if similar tools already exist, how competitive the space is, and whether the market is growing or declining.

PyPI Smithery License: MIT Tests GitHub stars Downloads

<p align="center"> <a href="cursor://anysphere.cursor-deeplink/mcp/install?name=idea-reality&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22idea-reality-mcp%22%5D%7D"> <img src="https://cursor.com/deeplink/mcp-install-dark.svg" alt="Install in Cursor" height="32"> </a> </p>

How it works

  1. Describe your idea in plain English β€” e.g. "a CLI tool that converts Figma designs to React components"
  2. idea_check scans 6 databases in parallel (GitHub repos + stars, Hacker News discussions, npm/PyPI packages, Product Hunt launches, Stack Overflow questions)
  3. Get a 0–100 reality score with trend direction (accelerating/stable/declining), top competitors, and AI-generated pivot suggestions

What you get

You: "AI code review tool"

idea_check β†’
β”œβ”€β”€ reality_signal: 92/100
β”œβ”€β”€ trend: accelerating β†—
β”œβ”€β”€ market_momentum: 73/100
β”œβ”€β”€ GitHub repos: 847 (45% created in last 6 months)
β”œβ”€β”€ Top competitor: reviewdog (9,094 ⭐)
β”œβ”€β”€ npm packages: 56
β”œβ”€β”€ HN discussions: 254 (trending up)
└── Verdict: HIGH β€” market is accelerating, find a niche fast

One score. Six sources. Trend detection. Your agent decides what to do next.

<p align="center"> <a href="https://mnemox.ai/check"><strong>Try it in your browser β€” no install</strong></a> </p>

Quick Start

# 1. Install
uvx idea-reality-mcp

# 2. Add to your agent
claude mcp add idea-reality -- uvx idea-reality-mcp   # Claude Code

3. Ask your agent: "Before I start building, check if this already exists: a CLI tool that converts Figma designs to React components"

That's it. The agent calls idea_check and returns: reality_signal, top competitors, and pivot suggestions.

<details> <summary>Other MCP clients</summary>

Claude Desktop / Cursor β€” add to config JSON:

{
  "mcpServers": {
    "idea-reality": {
      "command": "uvx",
      "args": ["idea-reality-mcp"]
    }
  }
}

Config location: macOS ~/Library/Application Support/Claude/claude_desktop_config.json Β· Windows %APPDATA%\Claude\claude_desktop_config.json Β· Cursor .cursor/mcp.json

Smithery (remote, no local install):

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

Setup & Configuration

First-time guided setup:

idea-reality setup

This walks you through:

  1. Terms acceptance β€” data collection policy and disclaimer
  2. Platform detection β€” auto-detects Claude Desktop, Claude Code, Cursor, Windsurf, Cline
  3. Config generation β€” prints the exact JSON snippet for your platform
  4. Health check β€” verifies MCP server, tools, and scoring engine

Platform Configs

idea-reality config              # interactive menu
idea-reality config claude_code  # auto-installs via CLI
idea-reality config cursor       # prints Cursor config
idea-reality config raw_json     # generic MCP JSON

Supported: Claude Desktop Β· Claude Code Β· Cursor Β· Windsurf Β· Cline Β· Smithery Β· Docker

Health Check

idea-reality doctor        # core checks (~2s)
idea-reality doctor --full # + GitHub API, all 6 sources, Anthropic API

Usage

MCP tool call (any MCP-compatible agent):

{
  "tool": "idea_check",
  "arguments": {
    "idea_text": "a CLI tool that converts Figma designs to React components",
    "depth": "deep"
  }
}

REST API (no MCP required):

curl -X POST https://idea-reality-mcp.onrender.com/api/check \
  -H "Content-Type: application/json" \
  -d '{"idea_text": "AI code review tool", "depth": "quick"}'

Python:

import httpx

resp = httpx.post("https://idea-reality-mcp.onrender.com/api/check", json={
    "idea_text": "AI code review tool",
    "depth": "deep"
})
print(resp.json()["reality_signal"])  # 0-100

Free. No API key required.

Why not just Google it?

Your AI agent never Googles anything before it starts building. idea_check runs inside your agent β€” it triggers automatically whether you remember or not.

GoogleChatGPTidea-reality-mcp
Who runs itYou, manuallyYou, manuallyYour agent, automatically
Output10 blue links"Sounds promising!"Score 0-100 + evidence
SourcesWeb pagesNone (LLM)GitHub + HN + npm + PyPI + PH + SO
PriceFreePaywallFree & open-source (MIT)

Modes

ModeSourcesUse case
quick (default)GitHub + HNFast sanity check, < 3 seconds
deepGitHub + HN + npm + PyPI + Product Hunt + Stack OverflowFull competitive scan
<details> <summary>Scoring weights</summary>
SourceQuickDeep
GitHub repos60%22%
GitHub stars20%9%
Hacker News20%14%
npmβ€”18%
PyPIβ€”13%
Product Huntβ€”14%
Stack Overflowβ€”10%

If a source is unavailable, its weight is redistributed automatically.

</details>

Tool schema

idea_check

ParameterTypeRequiredDescription
idea_textstringyesNatural-language description of idea
depth"quick" | "deep"no"quick" = GitHub + HN (default). "deep" = all 6 sources
<details> <summary>Full output example</summary>
{
  "reality_signal": 72,
  "duplicate_likelihood": "high",
  "trend": "accelerating",
  "sub_scores": { "market_momentum": 73 },
  "evidence": [
    {"source": "github", "type": "repo_count", "query": "...", "count": 342},
    {"source": "github", "type": "max_stars", "query": "...", "count": 15000},
    {"source": "hackernews", "type": "mention_count", "query": "...", "count": 18},
    {"source": "npm", "type": "package_count", "query": "...", "count": 56},
    {"source": "pypi", "type": "package_count", "query": "...", "count": 23},
    {"source": "producthunt", "type": "product_count", "query": "...", "count": 8},
    {"source": "stackoverflow", "type": "question_count", "query": "...", "count": 120}
  ],
  "top_similars": [
    {"name": "user/repo", "url": "https://github.com/...", "stars": 15000, "description": "..."}
  ],
  "pivot_hints": [
    "High competition. Consider a niche differentiator...",
    "The leading project may have gaps in..."
  ]
}
</details>

CI: Auto-check on Pull Requests

Use idea-check-action to validate feature proposals:

name: Idea Reality Check
on:
  issues:
    types: [opened]

jobs:
  check:
    if: contains(github.event.issue.labels.*.name, 'proposal')
    runs-on: ubuntu-latest
    steps:
      - uses: mnemox-ai/idea-check-action@v1
        with:
          idea: ${{ github.event.issue.title }}
          github-token: ${{ secrets.GITHUB_TOKEN }}

Optional config

export GITHUB_TOKEN=ghp_...        # Higher GitHub API rate limits
export PRODUCTHUNT_TOKEN=your_...  # Enable Product Hunt (deep mode)

Auto-trigger: Add one line to your CLAUDE.md, .cursorrules, or .github/copilot-instructions.md:

When starting a new project, use the idea_check MCP tool to check if similar projects already exist.

Roadmap

  • v0.1 β€” GitHub + HN search, basic scoring
  • v0.2 β€” Deep mode (npm, PyPI, Product Hunt), keyword extraction
  • v0.3 β€” 3-stage keyword pipeline, Chinese term mappings, LLM-powered search
  • v0.4 β€” Score History, Agent Templates, GitHub Action
  • v0.5 β€” Temporal signals, trend detection, market momentum
  • v0.6 β€” Onboarding CLI (idea-reality setup, config, doctor)
  • v1.0 β€” Idea Memory Dataset (opt-in anonymous logging)

Star History

Star History Chart

Found a blind spot?

If the tool missed obvious competitors or returned irrelevant results:

  1. Open an issue with your idea text and the output
  2. We'll improve the keyword extraction for your domain

Contributing

See CONTRIBUTING.md (繁體中文).

License

MIT β€” see LICENSE

Built by Mnemox AI Β· dev@mnemox.ai

Global Ranking

-
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "idea-reality-mcp": { "command": "npx", "args": ["idea-reality-mcp"] } } }