AI Tooling & MCP Servers

I build the plumbing that lets AI agents work with real internal systems without exposing sensitive data. At Sharjah Digital Department I architected a suite of Model Context Protocol (MCP) servers and engineered agents, retrieval-augmented generation (RAG) pipelines and guardrails on the AIRIA orchestration platform.

What I deliver

  • MCP servers

    Structured, permission-aware interfaces to internal systems: an Azure DevOps Server MCP server (projects, repositories, pipelines, work items, build history), an Active Directory MCP server for identity and group lookups, and a localisation MCP server.

  • Localisation automation

    The TransLynk MCP server scans application source for UI strings, generates English and Arabic translations, diffs them against existing translations and upserts only net-new entries.

  • Agents, RAG and guardrails

    AI agents, RAG pipelines, security guardrails and intent-based tool routing for policy-compliant automation.

  • Internal AI assistants

    A context-aware assistant that answers from governance, HR and IT policy content and the service catalogue using RAG.

  • AI-assisted engineering

    GitHub Copilot and prompt engineering to accelerate day-to-day development workflows.

Selected work

  • AI Tooling Suite — MCP servers & AIRIA orchestration

    .NET, MCP server SDK, Azure DevOps REST API, LDAP / Active Directory, AIRIA platform.

  • OnePortal AI Assistant

    A context-aware chatbot inside OnePortal using AIRIA RAG pipelines over policy content and the service catalogue.

Technologies

  • Model Context Protocol (MCP)
  • .NET
  • AIRIA
  • RAG
  • Azure DevOps REST API
  • LDAP / Active Directory
  • GitHub Copilot

Case studies