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#Vector Search 1 item linked

Case studies, ventures, and publications tagged with Vector Search across Samuel Mofrad's architecture portfolio.

Architectural Case Studies (1)

Samuel Mofrad

Enterprise Model Context Protocol (MCP) Server Infrastructure for Multi-Agent AI

Architected and deployed enterprise-grade Model Context Protocol (MCP) servers enabling secure, bi-directional tool execution between LLM agents (Claude, GPT, Ollama) and internal engineering backends.

• Architectural Implementation:
  • Engineered JSON-RPC 2.0 transport layers over stdio and SSE with strict mutual TLS (mTLS) and token authentication.
  • Integrated semantic vector indexing (Qdrant & pgvector) allowing autonomous agents to query Jira, Confluence, and internal Git repositories.
  • Reduced repetitive DevOps incident remediation cycle time by 42% via self-healing multi-agent diagnostic runbooks.
  • Established sandboxed code execution environments preventing untrusted LLM prompt injection and unauthorized API lateral traversal.
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Verified Architecture • European Enterprise
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