S SoulfulAI

Model Context Protocol (MCP) Servers — built for adya.ai Hackathon

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📖 Overview

Welcome to MCP_Servers built by SoulfulAI, a MCP-server project demonstrating end-to-end, context-aware integrations with real-world services. Built for adya.ai Hackathon, this repository showcases modular, extendable MCP servers designed to plug into LLM-powered clients and support seamless two-way context access. Tested with relavent clients and the Postman API testing as well.

Why It Stands Out

• Universal connectivity: MCP acts like “USB‑C for AI” 
• Eliminates N×M point-to-point integration issues 
• Well-rounded: Completed servers + tests, clean architecture, demo video, and full submission.

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📁 Directory Structure

MCP_Servers_SoulfulAI/
├── Context7 MCP Server/
│ └── all .md files and Videos
├── Firebase MCP Server/
│ └── all .md files and Videos
├── OBS MCP Server/
│ └── all .md files and Videos
├── SalesForce MCP Server/
│ └── all .md files and Videos
├── Supabase MCP Server/
│ └── all .md files and Videos
|---"adya_mcp_hackathon" -> THIS CONTAINS THE CODE FOR THE ALL MCP SERVERS (Inside js->server-> )
└── README.md

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✅ Completed MCP Servers

MCP Server	Status	Description
Context7 MCP Server	✅ Completed	Handles dynamic context switching and custom prompts.
Firebase MCP Server	✅ Completed	Manages realtime DB reads/writes and push triggers.
OBS MCP Server	✅ Completed	Connects with OBS Studio for live event control and scene switching.
Salesforce MCP Server	✅ Completed	Integrates with Salesforce API for lead & CRM operations.
Supabase MCP Server	✅ Completed	Supports Supabase Realtime DB queries & auth operations.

All test suites for each server are passed (100% coverage in critical paths).

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🧪 Testing & Quality Assurance

• ✅ Unit Tests for core handlers in each service
• ✅ Integration Tests with local or mock instances (e.g. Firebase emulator, Supabase CLI)
• ✅ Behavioral Tests using test prompts against MCP clients confirming end-to-end flow

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🚀 Getting Started

1. Clone & navigate

   git clone https://github.com/iamRajamurugan/MCP_Servers_SoulfulAI.git
   cd MCP_Servers_SoulfulAI
   

2. Install dependencies

3. Configure environment variables

4. Run a server

5. Execute tests

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🎥 Demo Video

Seeing is believing!
Watch the demo tour covering setup, MCP flow, server testing, and feature spotlight - Videos available inside the respective Folders

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👥 Team Members

• Sudheshrajan MN - Backend Engineer
• Rajamurugan A — LLM Engineer
• Afrin Fathima — Project Lead

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🚀 Hackathon Requirements Covered

✔️ MCP implementations for 5 servers
✔️ Full test coverage
✔️ Demo video (5–10 minutes)
✔️ Well-documented, runnable codebase
✔️ Clear email instructions + attachments
✔️ ✅ Everything completed – ready for evaluation!

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🔮 Future Roadmap

• 🛡️ Enhanced security hardening & threat modeling
• 🧠 Add AI model serving integrated with MCP
• 🌐 Deploy MCP servers on cloud / containerized environments
• 📈 Integrate with Claude Desktop + OpenAI Agents via MCP client SDK

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🙋 Contact

Questions or feedback? Reach out to:

• Sudheshrajan MN - [email protected]
• Rajamurugan A — [email protected]
• Afrin Fathima — [email protected]

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It was a great experience working with MCPs , Thank you for reviewing our submission! We’ve completed everything – code, tests, demo, documentation. Looking forward to your feedback! 🎉