Enterprise Agentic Framework

The Challenge

Deploying custom agents for partners was a manual process. Every new use case required rewriting the reasoning loops and integration logic. We needed a standardized way to expose our internal APIs as “Tools” that an LLM could reliably use without hallucinating inputs or violating security protocols.

The Solution

I designed a reusable Model Context Protocol (MCP) Server architecture, then layered specialized agents (like a data aggregator) on top of it.

• Schema-Driven Design: Agents are defined by strict JSON/SQL schemas. The system automatically generates the system prompts and validation logic based on these definitions, ensuring agents stay “on rails.”
• Centralized Tool Definitions: Created a pattern for defining tools that decouples the business logic from the LLM interface. This allows us to plug new capabilities into existing agents without refactoring the orchestration layer.
• Agnostic Orchestration: The framework exports tools in a format compatible with major orchestration libraries (like LangChain), allowing seamless integration into existing workflows.
• Data Aggregator Agent: Built a LangChain agent that pulls real-time sources (APIs, CSV drops, web hooks), validates the payloads against a JSON schema, and writes them into Postgres using SQL templating. The agent uses the MCP tooling layer to fetch canonical column definitions, preventing schema drift or invalid inserts.
• Automatic Context Windows: The aggregator agent batches large ingestions by chunking the schema proto into compressed JSON, keeping the LLM focused on column ordering and foreign key relationships rather than entire documentation dumps.

The Impact

This framework drastically reduced the time required to stand up new agentic pilots. It enables safe, structured interaction with internal data, allowing partners to deploy text-to-SQL and text-to-JSON capabilities without direct database access. The data aggregator agent now feeds normalized data into the shared warehouse in minutes, replacing brittle ETL scripts and guaranteeing type-safe inserts driven by the MCP schema contracts.