idea-reality-mcp
idea-reality-mcp is an MCP server that automatically checks if a software/startup idea already exists by scanning multiple data sources and returning a competitive analysis with a reality score.
Idea validation: Submit a natural-language description of your idea to determine if similar products or projects already exist, including a qualitative duplicate likelihood rating.
Reality scoring: Get a 0–100 "reality signal" score indicating market saturation, plus trend direction (accelerating/stable/declining) and a market momentum sub-score.
Two scan modes: Use quick mode (GitHub + Hacker News, <3 seconds) for a fast sanity check or deep mode (all 6 sources) for comprehensive analysis.
Multi-source evidence: Scans GitHub, Hacker News, npm, PyPI, Product Hunt, and Stack Overflow in parallel, providing detailed evidence (repo counts, star counts, package counts, discussion mentions, etc.).
Competitor discovery: Identifies top similar projects with names, URLs, star counts, and descriptions.
Pivot suggestions: Provides AI-generated recommendations for differentiators or pivots when high competition is detected.
Flexible integration: Usable via MCP tool calls (for AI agents like Claude/Cursor), REST API, or Python client — no MCP setup required for the latter two.
CI/CD support: Integrates with GitHub Actions to automatically validate feature proposals in pull requests.
Setup & health tools: Includes CLI commands for guided configuration and server health checks.
Searches GitHub repositories and star counts to identify existing open-source projects and assess competition for a given idea.
Scans the npm registry for existing packages and tools to determine if a JavaScript-related idea has already been implemented.
Searches for launched products on Product Hunt to identify existing competitors and market entries.
Scans the Python Package Index to find existing Python libraries and tools matching a project description.
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.
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 fastOne 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 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.
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 claudeSetup & Configuration
First-time guided setup:
idea-reality setupThis 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 JSONSupported: 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 APIUsage
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"]) # 0-100Free. 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.
Tool schema
idea_check
Parameter | Type | Required | Description |
| string | yes | Natural-language description of idea |
|
| no |
|
{
"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
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