AI Engineering

Building an MCP Server That Queries 4 Data Sources in Under 5 Seconds

March 21, 2026·10 min read

Building an MCP Server That Queries 4 Data Sources in Under 5 Seconds

Startup research sucks. You check Crunchbase for funding data, CB Insights for market analysis, PitchBook for financials, and then Google for everything else. Each tab, each query, each copy-paste.

I built an MCP (Model Context Protocol) server that queries all four in parallel and returns merged, deduplicated, cross-validated results with confidence scores. One query, under 5 seconds.

Why MCP

MCP is Anthropic's protocol for giving Claude access to external tools. Instead of building a custom API, I built an MCP server that Claude can call directly. Ask Claude "Tell me about Stripe's latest funding" and it triggers my server, which queries four sources simultaneously.

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Augusta Bhardwaj

Full-stack & AI engineer. Building production AI systems at YC-backed startups. Founder of 4UGUSTA Systems — a web development and AI agency.

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