ai.smithery/rainbowgore-stealthee-mcp-tools

Spot pre-launch products before they trend. Search the web and tech sites, extract and parse pages…
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# Stealthee MCP - Tools for being early

[![Python](https://img.shields.io/badge/python-3.12%2B-blue)](https://www.python.org/)
[![FastAPI](https://img.shields.io/badge/Framework-FastAPI-009688)](https://fastapi.tiangolo.com/)
[![MCP](https://img.shields.io/badge/MCP-Server-4b8bbe)](https://github.com/nimbleai/mcp)
[![OpenAI API](https://img.shields.io/badge/OpenAI-Integrated-orange)](https://platform.openai.com/)
[![Tavily](https://img.shields.io/badge/Tavily-Search-green)](https://docs.tavily.com/)
[![Nimble](https://img.shields.io/badge/Nimble-AI%20Parsing-purple)](https://docs.nimbleai.dev/)
[![Slack Alerts](https://img.shields.io/badge/Slack-Alerts%20Enabled-4A154B?logo=slack)](https://slack.com/)
[![Smithery](https://img.shields.io/badge/Smithery-Compatible-%23007acc)](https://smithery.tools/)

![Stealthee Logo](./mcp-stealthee.png)

Stealthee is a dev-first system for surfacing pre-public product signals - before they trend. Built for CTOs and tech leaders who need competitive intelligence and early threat detection.
It combines search, extraction, scoring, and alerting into a plug-and-play pipeline you can integrate into Claude, LangGraph, Smithery, or your own AI stack via MCP.

Perfect for competitive intelligence, technology trend monitoring, and strategic planning.

Use it if you're:

- A **CTO** or tech leader needing competitive intelligence, early threat detection, and innovation scouting to inform strategic decisions
- An **investor** hunting for pre-traction signals
- A **founder** scanning for competitors before launch
- A **researcher** tracking emerging markets
- A **developer** building agents, dashboards, or alerting tools that need fresh product intel.

## What's cookin'?

### MCP Tools

| Tool                  | Description                                  |
| --------------------- | -------------------------------------------- |
| `web_search`          | Search the web for stealth launches (Tavily) |
| `url_extract`         | Extract content from URLs (BeautifulSoup)    |
| `score_signal`        | AI-powered signal scoring (OpenAI)           |
| `batch_score_signals` | Batch process multiple signals               |
| `search_tech_sites`   | Search tech news sites only                  |
| `parse_fields`        | Extract structured fields from HTML          |
| `run_pipeline`        | End-to-end detection pipeline                |

## Installation & Setup

### Prerequisites

- API keys for external services (see Environment Variables)

### Quick Start

1. **Clone and Setup**

   ```bash
   git clone https://github.com/rainbowgore/Stealthee-MCP-tools
   cd stealthee-MCP-tools
   python3 -m venv .venv
   source .venv/bin/activate
   pip install -r requirements.txt
   ```

2. **Configure Environment**

   Fill the `.env` file with your API keys:

   ```bash
   # Required
   TAVILY_API_KEY=your_tavily_key_here
   OPENAI_API_KEY=your_openai_key_here
   NIMBLE_API_KEY=your_nimble_key_here

   # Optional
   SLACK_WEBHOOK_URL=your_slack_webhook_here
   ```

3. **Start Servers**

   ```bash
   # MCP Server (for Claude Desktop)
   python mcp_server_stdio.py

   # FastMCP Server (for Smithery)
   smithery dev

   # FastAPI Server (Optional - Legacy)
   python start_fastapi.py
   ```

## Smithery & Claude Desktop Integration

All MCP tools listed above are available out-of-the-box in [Smithery](https://smithery.ai/server/rainbowgore/Product-Stealth-Launch-Radar). Smithery is a visual agent and workflow builder for AI tools, letting you chain, test, and orchestrate these tools with no code.

### Available Tools

- **web_search**: Search the web for stealth launches using Tavily.
- **url_extract**: Extract and clean content from any URL.
- **score_signal**: Use OpenAI to score a single signal for stealthiness.
- **batch_score_signals**: Score multiple signals in one go.
- **search_tech_sites**: Search only trusted tech news sources.
- **parse_fields**: Extract structured fields (like pricing, changelog) from HTML.
- **run_pipeline**: End-to-end pipeline: search, extract, parse, score, and store.

### How to Use in Smithery

1. **Open the [Stealthee MCP Tools page on Smithery](https://smithery.ai/server/rainbowgore/Product-Stealth-Launch-Radar).**
2. Click "Try in Playground" to test any tool interactively.
3. Use the visual workflow builder to chain tools together (e.g., search → extract → score).
4. Integrate with Claude Desktop or your own agents by copying the workflow or using the API endpoints provided by Smithery.

### Cursor (Stealth Radar MCP)

To use **Stealth Radar MCP** in Cursor via the hosted URL (Streamable HTTP):

1. Open **Cursor Settings** → **MCP** (or search for "MCP" in settings).
2. Under **Install MCP Server**, fill in:
   - **Name:** `Stealth Radar` (or any name you like).
   - **Type:** `streamableHttp`.
   - **URL:** Use either:
     - **Smithery:** The connection URL from your server's Smithery **Connect** page (e.g. `https://smithery.ai/server/rainbowgore/Product-Stealth