AI & Data

Production MCP Server Suite

AI-agent tooling bridging LLMs with complex external APIs and enterprise data.

Client: —
Industry: —
Role: AI Tooling Developer
Stack: TypeScript · Python · Model Context Protocol (MCP)

Problem

Local agents and LLMs lacked structured access to live business databases and vector stores.

Approach

Shipped four production MCP servers (Node.js/Python) allowing agents to query 100K+ client records, run AI-generated SQL, and pull data from a 352K-domain vector index.

Outcome

Expanded local AI agent capabilities, enabling autonomous data retrieval and structured reasoning.

TypeScriptPythonModel Context Protocol (MCP)FastAPIPinecone

Cross-Platform RTSP Dashboards Distributed Website Auditor

This was ai & data work — see the service page.

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