SchemaScope: Field-level lineage MCP for coding agents

Let AI agents see field-level downstream impact before changing a database

Problem

AI agents have accelerated delivery, but database change risk has grown with it. When data flows through multiple databases, N views, and reports that never appear in the codebase, developers often cannot say which cross-service, cross-instance queries a change will affect. Agents altering schemas without knowing downstream dependencies can easily break reports or downstream services.

Solution

A lightweight lineage platform that serves field-level lineage to coding agents via MCP: before altering a table, an agent can query which views, reports, services, and SQL statements reference that field to judge impact. The core is a local or single-instance parser that does not require an enterprise data catalog.

Users

Backend teams using AI agents for database changes, data platform engineers, full-stack developers at small companies

MVP

Parse SQL and common ORM migration files into field-level lineage; MCP endpoint for agent queries; change impact reports; support 1-2 databases;

Revenue

Open-source parser plus commercial MCP service and team impact reports; subscription by project or database connection count

Why now

AI agents are taking over database changes, but existing lineage tools target enterprise data governance and are too heavy and expensive; agent-native lightweight lineage lookup is a gap.