AI-Powered Research Engine

Internship Project at Aiolos Cloud Solutions, Mumbai Team: NextGen Thinker | 2025–2026

Knowledge workers lose 30% of their workday searching for and synthesising information. Manual research, across tabs, PDFs, and copy-paste workflows, is slow, fragmented, and expensive at scale.

LLMs like Claude and ChatGPT can research and synthesise. But they function as personal assistants with no guardrails. Anyone can search for anything. There is no audit trail, no access control, and no accountability over what gets retrieved or used. For individuals, that is fine. For teams and organisations, that is a governance problem.

Minerva is an AI-powered research engine built on the Model Context Protocol (MCP). It takes a query and returns a fully structured, synthesis-ready report in seconds.

What makes it different: because Minerva is built on MCP, its capabilities are interoperable. Any MCP-compatible AI client can connect to it and use its tools out of the box. No custom integration required.

Results are exported in three formats, each serving its own purpose:

• PDF for a clean, shareable report ready to send to anyone
• Markdown for developers and teams who live in docs and wikis
• JSON for systems and pipelines that need structured data to act on

• Searches the web and identifies the most relevant sources
• Reads and extracts content from web pages and PDF documents
• Synthesises collected content into a structured report using AI
• Streams the report to the screen in real time as it is generated
• Exports the report as PDF, Markdown, or JSON
• Allows follow-up questions on the generated report via a built-in chat interface called Ask Minerva

Minerva has been in active deployment at Aiolos Cloud Solutions since 2025. The numbers below grow with every research job run. What you see here is a snapshot, not a ceiling.

Metrics captured from the live dashboard during the internship period. The system continues to run and these figures continue to climb.

📄 Design and Implementation of a Secure MCP Server for Context-Aware AI Applications

Accepted and presented at the International Conference on Smart Systems for Sustainable Development (SmartSSD 2026), hosted by Anjuman-I-Islam M. H. Saboo Siddik College of Engineering, Mumbai. Held 15 to 16 April 2026. Published in GR Journal.

The paper formalises the architecture, access control model, and audit trail design behind Minerva. It documents the security boundaries, tool isolation patterns, and context-aware request handling that make the system production-ready for team and organisational deployment.

Authors: Mohammed Ahmed Shaikh, Adnan Bardgujar, Saif Madre, Mohd Fazal Shaikh, Mohd Salique Khan

Certificates of Participation (Team) · Presentation Photos

🏆 2nd Place, Pitch Your Idea Competition at IEEE Utsav Fest, hosted by the IEEE Cell of Anjuman-I-Islam M. H. Saboo Siddik College of Engineering.

Team NextGen Thinker pitched Minerva and placed second among competing teams. An independent validation of the problem we identified and the solution we built.

Award Photo

• Published paper: Design and Implementation of a Secure MCP Server for Context-Aware AI Applications, SmartSSD 2026, GR Journal
• Conference Certificates of Participation (full team): docs/conference/certificates.pdf
• Internship completion certificate: docs/Internship Completion Letter MCP Group.pdf
• 2nd place, Pitch Your Idea, IEEE Utsav Fest

Coming soon.

Built by four computer engineering students during internship at Aiolos Cloud Solutions.

Full team details: docs/team.md

Built during internship at Aiolos Cloud Solutions