Skip to content

FlowMCP

FlowMCP v4.2 — Grading as a Versioned Standard · Read the announcement

Schema-driven data access
for AI agents.

FlowMCP is a schema format that standardises how AI agents reach any data source: write the connection once, reuse it everywhere. Each schema is normalised to one uniform interface — and kept separate from its grading and security tests — so hundreds of sources look alike to the model and stay cheap to maintain.

291 data sources · 1,608 AI-callable tools · AI-native, built for deep research.

Open source · MIT · GitHub-native · No vendor lock-in

Used at Berlin Mobility Hackathon 2026 · DB InfraGO

Connects to
  • JSON
  • XML
  • SQLite
  • GTFS
  • OParl
  • CSV
291
Data sources
1,608
AI-callable tools
MIT
Open source license