Idea Reality Mcp

io.github.mnemox-aiPublished by GitHub account mnemox-aiv0.3.4Updated Oct 24, 2026

Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.

Overview

AI-generated overview

A local MCP server that scans GitHub, Hacker News, npm, PyPI and Stack Overflow to score how much a product idea already exists.

What you can do
Check an idea against public sources: submit a plain-language idea description and get a 0-100 reality score with evidence counts, top similar projects, trend direction and pivot hints, in a quick mode (GitHub and Hacker News) or a deep mode (all sources).
When to use it
Useful before starting a new project, when you want an assistant to check whether similar tools already exist, how crowded the space is, and whether interest is growing or declining.
Requirements
Runs locally as a Python package launched with uvx, or via a remote hosted endpoint. No API key is required. An optional GITHUB_TOKEN raises GitHub rate limits; PRODUCTHUNT_TOKEN is documented as no longer doing anything.
Before you install
The idea text you submit is sent to third-party sources and, in the hosted variant, to a remote API. Scores are heuristic and may miss competitors. The project is in maintenance mode with no new features planned.

Installation

In SourceWeft

  1. Open Idea Reality Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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, 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.

Project status (August 2026): Maintenance mode. The tool works, stays free & open source, and the hosted API remains up; bug reports are reviewed, but no new features are planned.

Not just checking — building it? After a reality check, open your idea as a public project on AngelRun — ship updates, climb the season, and get seen by angels.

[PyPI] [Smithery] [License: MIT] [CI] [GitHub stars] [Downloads]

[Install in Cursor]

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 5 databases in parallel (GitHub repos + stars, Hacker News discussions, npm/PyPI packages, 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.

Try it in your browser — no install

Quick Start

bash
# 1. Installuvx idea-reality-mcp
# 2. Add to your agentclaude 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.

Other MCP clients

Claude Desktop / Cursor — add to config JSON:

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):

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

Setup & Configuration

First-time guided setup:

bash
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

bash
idea-reality config              # interactive menuidea-reality config claude_code  # auto-installs via CLIidea-reality config cursor       # prints Cursor configidea-reality config raw_json     # generic MCP JSON

Supported: Claude Desktop · Claude Code · Cursor · Windsurf · Cline · Smithery · Docker

Health Check

bash
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):

json
{  "tool": "idea_check",  "arguments": {    "idea_text": "a CLI tool that converts Figma designs to React components",    "depth": "deep"  }}

REST API (no MCP required):

bash
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:

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.

GoogleChatGPTidea-reality-mcp
Who runs itYou, manuallyYou, manuallyYour agent, automatically
Output10 blue links"Sounds promising!"Score 0-100 + evidence
SourcesWeb pagesNone (LLM)GitHub + HN + npm + PyPI + PH + SO
PriceFreePaywallFree & open-source (MIT)

Modes

ModeSourcesUse case
quick (default)GitHub + HNFast sanity check, < 3 seconds
deepGitHub + HN + npm + PyPI + Stack OverflowFull competitive scan
Scoring weights
SourceQuickDeep
GitHub repos60%22%
GitHub stars20%9%
Hacker News20%14%
npm—18%
PyPI—13%
Stack Overflow—10%

If a source is unavailable, its weight is redistributed automatically — so the deep-mode weights above are renormalised over the sources that actually answered.

Product Hunt was removed on 2026-07-17. It had carried 14% of the deep-mode weight since launch and had never returned a single result: the adapter asked for posts(search: $query), and Product Hunt's API has no text search on posts at all (Field 'posts' doesn't accept argument 'search'). Its weight is now redistributed to sources that answer. If you need it back, it needs a real search surface — not a token.

Tool schema

idea_check

ParameterTypeRequiredDescription
idea_textstringyesNatural-language description of idea
depth"quick" | "deep"no"quick" = GitHub + HN (default). "deep" = all 6 sources
Full output example
json
{  "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": "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:

yaml
name: Idea Reality Checkon:  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

bash
export GITHUB_TOKEN=ghp_...        # Higher GitHub API rate limits

PRODUCTHUNT_TOKEN no longer does anything — the source is disabled and ignores it. Setting it used to be worse than useless: it un-skipped a source whose query the API rejects, so it reported "0 competitors on Product Hunt" into 14% of the deep score.

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)

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 · [email protected]

Source: README.md at commit 83281b4

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.3.4LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts