FlowCheck MCP Server

Example Use Cases

• 1

  Monitor Git state and enforce code hygiene in real-time during AI-assisted coding.

• 2

  Detect and prevent security risks such as PII leaks, secrets exposure, and prompt injection attacks.

• 3

  Semantic search capabilities to find commits by meaning and verify intent alignment between code changes and tickets.

Description

FlowCheck enhances AI-first development by providing real-time monitoring of Git state, security scanning for PII and injection attacks, semantic commit history search, and full observability with audit logs and tracing. It helps maintain good Git hygiene, validates intent alignment between tickets and diffs, and enforces rules designed for AI agents, improving code safety and reviewability during AI-assisted coding workflows.