fli (punitarani/fli) is an open-source AI project on GitHub. Repository summary: Google Flights MCP and Python Library Its focus includes MCP and tool-calling integration. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
2,436
Features
- Core capability: Google Flights MCP and Python Library
- Provides MCP or tool-calling integration
- Repository: punitarani/fli
- Primary language: Python
- Open-source license: MIT
- GitHub traction: about 2,415 stars
Use Cases
- Connects external systems into agent workflows
- Build internal AI workflow prototypes with fli
- Validate fli in production-like engineering scenarios
- Building AI development workflows
- Automating agent-based processes
- Improving team engineering productivity
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/punitarani/fli. Community traction is around 2,415 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Connects external systems into agent workflows, Build internal AI workflow prototypes with fli, Validate fli in production-like engineering scenarios.
