by mnemox-ai
Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.
# Add to your Claude Code skills
git clone https://github.com/mnemox-ai/idea-reality-mcpEnglish | 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.
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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.
# 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
First-time guided setup:
idea-reality setup
This 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 JSON
Supported: 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 API
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.
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) |
| 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.
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..."
]
}
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 · dev@mnemox.ai