AI-lead-finder-using-mcp
Verified Safeby lakshya1410
Overview
This system leverages AI and web scraping to find, qualify, and extract contact details for B2B leads based on a defined Ideal Customer Profile (ICP).
Installation
docker run -p 5000:5000 --env-file .env lead-gen-systemEnvironment Variables
- BRIGHT_DATA_API_TOKEN
- OPENAI_API_KEY
Security Notes
The application follows good practices for handling API keys by loading them from environment variables. There are no obvious signs of 'eval' or malicious command injection patterns. Input validation is present for critical endpoints. The CORS configuration uses '*' for origins which is common for demos but should be restricted in a public production environment. The API endpoints are unauthenticated, which is noted as a future improvement in the documentation, making it unsuitable for public deployment without further security measures.
Similar Servers
gpt-researcher
The GPT Researcher MCP Server enables AI assistants to conduct comprehensive web research and generate detailed, factual, and unbiased reports. It supports multi-agent workflows, local document analysis, and integration with external tools via the Machine Conversation Protocol (MCP) for various research tasks.
mcp
This server provides Hyperbrowser's Model Context Protocol (MCP) interface, offering tools for web scraping, structured data extraction, crawling, and general-purpose browser automation using AI agents like OpenAI's CUA and Anthropic's Claude Computer Use.
crawlbase-mcp
A Model Context Protocol (MCP) server that enables AI agents and LLMs to fetch fresh, structured, real-time web content (HTML, Markdown, screenshots) via Crawlbase's scraping infrastructure.
scraperapi-mcp
Enables LLM clients to retrieve and process web scraping requests using the ScraperAPI service, providing access to web content for AI models.