Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
SaferSkills independently audited idea-reality-mcp (MCP Server) and scored it 92/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 2 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 2 flagged
A bulleted imperative like {match} tells the agent to never reveal, disclose, or mention something to the user. Used adversarially it can instruct the agent to hide its tool calls or lie about what it did — stripping the transparency a user relies on to trust the agent.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<!-- mcp-name: io.github.mnemox-ai/idea-reality-mcp --> English | 繁體中文
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.
<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>
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 fastOne 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 — no install</strong></a> </p>
# 1. Install
uvx idea-reality-mcp
# 2. Add to your agent
claude mcp add idea-reality -- uvx idea-reality-mcp # Claude Code3. 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 — 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</details>
First-time guided setup:
idea-reality setupThis walks you through:
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 JSONSupported: Claude Desktop · Claude Code · Cursor · Windsurf · Cline · Smithery · Docker
idea-reality doctor # core checks (~2s)
idea-reality doctor --full # + GitHub API, all 6 sources, Anthropic APIMCP 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"]) # 0-100Free. No API key required.
Your AI agent never Googles anything before it starts building. idea_check runs inside your agent — it triggers automatically whether you remember or not.
| 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) |
| 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 |
<details> <summary>Scoring weights</summary>
| 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.
</details>
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 |
<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>
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 }}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.idea-reality setup, config, doctor)If the tool missed obvious competitors or returned irrelevant results:
See CONTRIBUTING.md (繁體中文).
MIT — see LICENSE
Built by Mnemox AI · [email protected]
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.