MarketIntel MCP Server

A lightweight Model Context Protocol (MCP) server for market research and competitive intelligence. It exposes tools to gather company overviews, competitor lists, product portfolios, pricing snapshots, and recent news using Tavily search APIs.

Features

• Company overview research

• Competitor identification and landscape analysis

• Product portfolio mapping

• Pricing and tier analysis

• Recent news and market pulse summaries

• Prebuilt prompt templates for competitor brief generation

Related MCP server: Tavily MCP Server

Tech Stack

• Python 3.13+

• FastMCP

• Tavily API

• uv for dependency management

Prerequisites

• Python 3.13 or later

• uv installed

• A Tavily API key

Installation

cd /path/to/MCP_DEMO_1
uv sync

Configuration

Create a .env file in the project root with your Tavily API key:

TAVILY_API_KEY=your_api_key_here

Running the Server

cd /path/to/MCP_DEMO_1
source .venv/bin/activate
python server.py

The server starts an MCP SSE endpoint and exposes the available tools/resources.

Available Tools

• company_overview

• list_competitors

• product_portfolio

• pricing_snapshot

• recent_news_pulse

• competitor_analysis_prompt

Project Structure

.
├── server.py
├── pyproject.toml
├── README.md
├── src/
│   └── mcp_demo_1/
└── .env

License

This project is provided as-is for demo and development purposes.

Notes

This repository is intended as a market-intelligence MCP demo and may require a valid Tavily subscription for research queries to work successfully.