
Idea Reality Mcp
io.github.mnemox-ai由 GitHub 账号 mnemox-ai 发布v0.3.4更新于 Oct 24, 2026
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
概览
一个本地 MCP 服务器,扫描 GitHub、Hacker News、npm、PyPI 和 Stack Overflow,评估产品想法已被实现的程度。
- 可以做什么
- 对照公开来源核查想法:提交一段自然语言的想法描述,获得 0-100 的现实评分,附证据计数、最相似项目、趋势方向和转型建议;可选快速模式(GitHub 与 Hacker News)或深度模式(全部来源)。
- 适用场景
- 适合在启动新项目之前使用,让助手确认是否已有类似工具、竞争是否激烈,以及关注度是在上升还是下降。
- 运行要求
- 以 Python 包形式在本地运行,通过 uvx 启动,也可使用远程托管端点。无需 API 密钥。可选的 GITHUB_TOKEN 可提高 GitHub 速率限制;文档说明 PRODUCTHUNT_TOKEN 已不再起作用。
安装
在 SourceWeft 中
- 打开 控制台中的 Idea Reality Mcp,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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]
How it works
- Describe your idea in plain English — e.g. "a CLI tool that converts Figma designs to React components"
- idea_check scans 5 databases in parallel (GitHub repos + stars, Hacker News discussions, npm/PyPI packages, 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
One score. Six sources. Trend detection. Your agent decides what to do next.
Try it in your browser — no install
Quick Start
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:
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):
Setup & Configuration
First-time guided 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
Supported: Claude Desktop · Claude Code · Cursor · Windsurf · Cline · Smithery · Docker
Health Check
Usage
MCP tool call (any MCP-compatible agent):
REST API (no MCP required):
Python:
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.
Modes
Scoring weights
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
Full output example
CI: Auto-check on Pull Requests
Use idea-check-action to validate feature proposals:
Optional config
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:
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
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 · [email protected]
来源:README.md,提交 83281b4
工具
0版本历史
1- v0.3.4最新Sep 16, 2026
评分
已满足适用检查项的 50%
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- 近 30 天内可连通25 分
请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。
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