ToolsThe story, in brief

Article: Building a Secure MCP Server on AWS for a Million-Company B2B Platform

Not a pilot. A million-company B2B platform just shipped MCP server integration—here's how they solved the LLM-to-production-data security problem.

Paper-cut illustration of a coral software window opening into a three-dimensional drafting space.
New tools for building and creating with AI.AI illustration by KeyNews
The KeyNews take

Why it matters

As LLMs move from chat to enterprise workflows, the real constraint is safe data access. This case study shows how to connect production databases to LLM clients without creating security holes—a pattern every B2B SaaS founder will need to solve.

The key facts

10 to know
  1. MCP server architecture for LLM-to-database integration

  2. 1M+ company profiles exposed through secure bridge

  3. AWS infrastructure for production data safety

  4. Query capability: semantic search on company attributes (geography, employee count, vertical)

  5. Engineering focus: safety-first LLM API design

  6. 1M+ company profiles exposed through MCP server

  7. Query example: 'find SaaS companies in Germany with 50-200 employees'

  8. Focus: secure LLM-to-production-data bridge architecture

  9. AWS implementation

  10. Published May 2026

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: We wanted to expose a B2B intelligence platform built on more than one million company profiles to an LLM client through an MCP server so a user can ask “find SaaS companies in Germany with 50-200 employees” and receive results through the LLM client. The engineering problem was: How do you make…
Read original report
Back to today's editionMore tools news

Keep reading

Related stories

More from Tools