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Explore the top contributors showcasing the highest number of app submissions within our community.

Bright Data MCP Server

The Bright Data MCP Server is an open-source Model Context Protocol (MCP) server that connects AI agents and coding assistants to Bright Data's web data infrastructure. It exposes over 60 tools covering real-time web search, page navigation, structured data extraction, and managed browser automation, all accessible from within Claude, Claude Code, Cursor, and other MCP-compatible environments.

General
DeveloperBright Data
TypeMCP Server for AI Agent Web Access
Tools60+
LicenseOpen-source
GitHubbrightdata/brightdata-mcp
Documentationdocs.brightdata.com/ai/mcp-server

Core Features

  • 60+ AI-ready tools: tools for web search, page scraping, structured data extraction from 120+ sites, and browser automation, all callable from AI agents via MCP.
  • Real-time web access: agents retrieve live data from the open web, not cached or static snapshots.
  • Claude and Claude Code integration: configures directly into Claude Desktop or Claude Code via MCP server settings; no additional code required.
  • Claude Skills support: the brightdata skill teaches Claude how to select the right tool, handle errors, and follow best practices across the full tool surface.
  • Scraping Browser access: the MCP server can drive a managed Playwright/Puppeteer browser for JavaScript-heavy pages.
  • SERP and structured extraction: search engines and 100+ site-specific scrapers are available as discrete tools.

Supported Environments

EnvironmentIntegration
Claude DesktopDocs
Claude CodeBlog guide
Claude Agent SDKBlog guide
CursorMCP server config
ComposioToolkit

Tools and Resources

Ecosystem and Integrations

  • Works with any MCP-compatible client, including Claude Code, Cursor, Windsurf, and custom agent frameworks.
  • Pairs with the Python SDK and JavaScript SDK for programmatic access outside of agent contexts.
  • The MCP server delegates requests to Bright Data's proxy and unblocking infrastructure, so agents bypass bot detection without additional configuration.

Install and configure the MCP server from github.com/brightdata/brightdata-mcp, or follow the Claude Desktop integration guide to get started in minutes.

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Bright Data Bright Data MCP Server AI technology Hackathon projects

Discover innovative solutions crafted with Bright Data Bright Data MCP Server AI technology, developed by our community members during our engaging hackathons.

RAYS Studio: Decentralized Federated OSINT Network

RAYS Studio: Decentralized Federated OSINT Network

RAYS Studio is a revolutionary decentralized framework for open-source intelligence (OSINT) AI agents, built to solve the computational bottlenecks and privacy issues inherent in centralized LLM training. Standard agent architectures suffer from catastrophic forgetting when exposed to diverse localized datasets, while central servers struggle with massive training compute requirements. To solve this, RAYS Studio implements Federated Orthogonal Gradient Routing (FOGR) combined with Spectrally Bounded Zero-Gated Adapters (SB-ZGA). Local client devices execute complex OSINT workflows using RAYS-CORE, generating highly contextual, private task logs. When local fine-tuning is triggered, each edge client trains a low-rank adapter on its own hardware (utilizing GPU/MPS acceleration). We apply Singular Value Decomposition (SVD) constraints directly to the adapter weights, zeroing out dominant singular values to force the learning process into strict mathematical orthogonality. These localized, orthogonal adapter updates are securely submitted to the RAYS Studio daemon. The central daemon aggregates the weights, merges them with the base model, recompiles an optimized GGUF format, and hot-swaps the model instantly on a running llama.cpp server without downtime. By structuring learning spaces orthogonally, different clients can fine-tune on disparate OSINT targets simultaneously without erasing previously learned intelligence. The result is a highly scalable, privacy-first AI swarm capable of collective intelligence gathering across thousands of edge nodes.

Propflip

Propflip

# PropFlip - Multi-Agent Real Estate Wholesale Pipeline A Band.ai-powered system for automated real estate deal sourcing, analysis, and coordination with human oversight. ## Description PropFlip automates the real estate wholesale process using 5 specialized Band agents that communicate through chat rooms to move deals from discovery to buyer matching. The system implements risk-tiered human approval gates to ensure proper oversight of external communications and financial decisions. **Core Workflow:** 1. **DiscoveryAgent** - Scans distressed properties, calculates investment potential using 70% rule 2. **VerificationAgent** - Validates title chains, checks liens, ensures deal feasibility 3. **NegotiationAgent** - Contacts sellers, negotiates terms, structures offers 4. **MatchingAgent** - Connects completed deals with cash buyers from database 5. **OrchestratorAgent** - Coordinates workflow, manages deal lifecycle **Human Oversight Model:** - **Tier 0** (Read-only): Auto-proceed, audit only - **Tier 1** (Internal): Auto-proceed, notify in chat room - **Tier 2** (External contact): Block until human approval - **Tier 3** (Contracts/money): Hard stop, manual handling required Each agent integrates the same HumanGate toolset for consistent risk management and audit trails. ## HumanGate Agent HumanGate is **not a separate Band agent** - it's a **shared toolset** that all PropFlip agents import and use for human oversight.

CareBand — 5-Agent Healthcare Coordination System

CareBand — 5-Agent Healthcare Coordination System

CareBand is a 5-agent healthcare coordination system built for Track 3: Regulated & High-Stakes Workflows. It addresses a critical gap in chronic patient care: 1.4 billion patients worldwide, 50% miss medications regularly, and families find out 4–6 hours too late when emergencies happen. The system deploys five specialized AI agents that collaborate exclusively through a central message bus. Triage detects symptoms and assigns risk levels. Medication checks drug interactions and missed-dose severity. Guardian makes escalation decisions (MONITOR, ESCALATE_SCHEDULED, or ESCALATE_IMMEDIATE). Family alerts caregivers in real time via SMS, WhatsApp, or in-app notifications. Compliance logs every decision with immutable audit trails for GDPR and HIPAA. Every agent communicates through structured JSON handoffs — not chat, but real task delegation with context sharing. Band serves as the core collaboration layer: Triage sends to Band, Medication reads from Band, Guardian reads from Band, Family reads from Band, and Compliance reads all messages from Band. Remove Band, and the system collapses. The architecture is fully implemented with real-time SSE streaming, fire-and-forget message routing, and full pipeline execution. The current prototype uses a local message store that mirrors Band's exact routing logic, with live Band API integration pending OAuth token configuration — a transport-layer switch requiring zero code changes.

BunoBagera AI

BunoBagera AI

I built Bunobagera AI because I wanted to bridge the gap between writing code and shipping production-ready software. This isn't just a hackathon prototype—it is a robust, production-grade application engineered for real-world reliability. The frontend is built on Next.js for a lightning-fast, seamless UI, while the backend leverages Strapi as a powerful, flexible headless CMS. For data storage, I integrated Supabase to handle database management reliably at scale. At its core, the application uses the Mistral LLM to effectively analyze codebases for security, efficiency, and relevance. When you connect a repository, Bunobagera scans your code and enters an interactive chat interface to discuss fixes. The best part is the automation: if you approve the suggestions, it automatically creates a new branch and opens a Pull Request with the fixes. Beyond the code, it reviews your GitHub profile, providing a strategic summary and a personalized roadmap to help you grow your developer brand and stand out to recruiters.

RevDev

RevDev

CaliSignal is an AI SDR and GTM intelligence platform built for California startups. It uses Bright Data live web signals to discover high-fit accounts, detect buying windows, score ICP match, and identify the right stakeholders before competitors reach them. The platform turns fragmented public signals like funding news, hiring activity, job posts, reviews, and web changes into prioritized pipeline, account briefs, outreach drafts, alerts, and action workflows. Instead of making SDRs manually research accounts, CaliSignal gives teams a live revenue cockpit that shows who to contact, why now, what to say, and what action to take next.

Wayfinder

Wayfinder

Wayfinder is an AI-powered platform that simplifies international trade and logistics. Instead of spending hours searching across freight marketplaces, government portals, customs databases, logistics news sites, and shipping providers, users simply describe what they want to ship in natural language. Wayfinder automatically gathers and centralizes critical information, including freight rates, shipping options, tariffs, regulations, required documentation, and logistics risks. Using real-time web data collected from multiple sources, the platform provides users with a comprehensive view of their shipment before making a decision. The platform also monitors potential disruptions such as port congestion, strikes, severe weather events, geopolitical developments, and supply chain bottlenecks that could impact delivery times or transportation costs. Our goal is to make global trade more accessible, transparent, and efficient by transforming fragmented logistics data into a single actionable report. Whether shipping food products, raw materials, or manufactured goods, Wayfinder helps businesses make faster, smarter, and more informed international shipping decisions.