io.github.mnemox-ai/idea-reality-mcp
编码与调试by mnemox-ai
用于项目前置现实性验证的 MCP 工具,可扫描 GitHub、HN、npm、PyPI、Product Hunt,并返回 0-100 信号分数。
立项前先让它扫一遍 GitHub、HN、npm、PyPI 和 Product Hunt,用 0-100 信号分帮你判断需求是否真实,少做自嗨项目。
什么是 io.github.mnemox-ai/idea-reality-mcp?
用于项目前置现实性验证的 MCP 工具,可扫描 GitHub、HN、npm、PyPI、Product Hunt,并返回 0-100 信号分数。
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.
<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
- Describe your idea in plain English — e.g. "a CLI tool that converts Figma designs to React components"
- idea_check scans 6 databases in parallel (GitHub repos + stars, Hacker News discussions, npm/PyPI packages, Product Hunt launches, Stack Overflow questions)
- 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.
<p align="center"> <a href="https://mnemox.ai/check"><strong>Try it in your browser — 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.
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:
- Terms acceptance — data collection policy and disclaimer
- Platform detection — auto-detects Claude Desktop, Claude Code, Cursor, Windsurf, Cline
- Config generation — prints the exact JSON snippet for your platform
- 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.
| 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.
</details>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
Found a blind spot?
If the tool missed obvious competitors or returned irrelevant results:
- Open an issue with your idea text and the output
- 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
常见问题
io.github.mnemox-ai/idea-reality-mcp 是什么?
用于项目前置现实性验证的 MCP 工具,可扫描 GitHub、HN、npm、PyPI、Product Hunt,并返回 0-100 信号分数。
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