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Idea Reality MCP

Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI & Product Hunt — returns a 0-100 reality signal. MCP tool. Try: mnemox.ai/check

80Excellent

Scored 8 hours ago · breakdown

About Idea Reality MCP

Idea Reality MCP is an MCP server published by mnemox-ai in the Developer Tools category: pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI & Product Hunt — returns a 0-100 reality signal. MCP tool. Try: mnemox.ai/check. It has been installed 0 times through Conduid.

The repository has 280 stars and 23 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx idea-reality-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

Ask AI about Idea Reality MCP

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.5.0v0.5.0 — Temporal Signals + Score Recalibration · 11 Mar 2026What's New Temporal Signals GitHub recency ratio** — % of repos created in last 6 months HN trend detection** — recent vs total mention ratio (3mo/12mo) Product Hunt launch timing** — recent launch ratio Continuous Scoring Log-curve…
v0.4.0v0.4.0 — Email Gate + Subscribe + Simplified Templates · 28 Feb 2026What's New Email Collection & Decision Tracking `POST /api/subscribe` — collect emails linked to idea checks via `idea_hash` `GET /api/subscribers/count` — subscriber metrics Dual-write: SQLite + stdout logging (Render logs survive…
v0.3.4v0.3.4 — MCP Registry + README fix · 27 Feb 2026Fixed Restored README.md and LICENSE accidentally overwritten by mcp-publisher CLI v0.3.3 on PyPI had incorrect README — this release fixes it Added Published to MCP Registry (`io.github.mnemox-ai/idea-reality-mcp`)
v0.3.3v0.3.3 — MCP Registry Publication · 27 Feb 2026Added Published to MCP Registry (`io.github.mnemox-ai/idea-reality-mcp`) `server.json` updated to official MCP Registry schema
v0.3.2v0.3.2 — LLM Search Intelligence + README Rewrite · 27 Feb 2026What's New LLM-Powered Search Intelligence (Render API) Claude Haiku 4.5** generates optimal search queries from idea descriptions in any language Automatic fallback to dictionary pipeline on any failure New `POST /api/extract-keywords`…

README

English | 繁體中文

idea-reality-mcp

How to check if someone already built your app idea — 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 — 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 Tests GitHub stars Downloads

How it works

  1. Describe your idea in plain English — 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 →
├── reality_signal: 92/100
├── trend: accelerating ↗
├── market_momentum: 73/100
├── GitHub repos: 847 (45% created in last 6 months)
├── Top competitor: reviewdog (9,094 ⭐)
├── npm packages: 56
├── HN discussions: 254 (trending up)
└── Verdict: HIGH — market is accelerating, find a niche fast

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

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.

Claude Desktop / Cursor — add to config JSON:

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

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

Smithery (remote, no local install):

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

Setup & Configuration

First-time guided setup:

idea-reality setup

This walks you through:

  1. Terms acceptance — data collection policy and disclaimer
  2. Platform detection — auto-detects Claude Desktop, Claude Code, Cursor, Windsurf, Cline
  3. Config generation — prints the exact JSON snippet for your platform
  4. Health check — 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 · Claude Code · Cursor · Windsurf · Cline · Smithery · 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 — it triggers automatically whether you remember or not.

Google ChatGPT idea-reality-mcp
Who runs it You, manually You, manually Your agent, automatically
Output 10 blue links "Sounds promising!" Score 0-100 + evidence
Sources Web pages None (LLM) GitHub + HN + npm + PyPI + PH + SO
Price Free Paywall Free & open-source (MIT)

Modes

Mode Sources Use case
quick (default) GitHub + HN Fast sanity check, < 3 seconds
deep GitHub + HN + npm + PyPI + Product Hunt + Stack Overflow Full competitive scan
Source Quick Deep
GitHub repos 60% 22%
GitHub stars 20% 9%
Hacker News 20% 14%
npm 18%
PyPI 13%
Product Hunt 14%
Stack Overflow 10%

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

Tool schema

idea_check

Parameter Type Required Description
idea_text string yes Natural-language description of idea
depth "quick" | "deep" no "quick" = GitHub + HN (default). "deep" = all 6 sources
{
  "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..."
  ]
}

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 — GitHub + HN search, basic scoring
  • v0.2 — Deep mode (npm, PyPI, Product Hunt), keyword extraction
  • v0.3 — 3-stage keyword pipeline, Chinese term mappings, LLM-powered search
  • v0.4 — Score History, Agent Templates, GitHub Action
  • v0.5 — Temporal signals, trend detection, market momentum
  • v0.6 — Onboarding CLI (idea-reality setup, config, doctor)
  • v1.0 — 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 — see LICENSE

Built by Mnemox AI · dev@mnemox.ai

README mirrored from the source repository 8 hours ago. The original is authoritative.

Questions

About Idea Reality MCP

How do I install Idea Reality MCP?

Run npx idea-reality-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Idea Reality MCP safe to use with an AI agent?

Its trust score is 80 out of 100 (excellent). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Idea Reality MCP still maintained?

Yes — the latest release is v0.5.0 (11 Mar 2026), and the last commit was 6 months ago. The repository has 280 stars and 0 open issues.