
Released under the Apache License 2.0
To run this application you'll need:
yarn install.env.example and rename it to .envyarn start:frontendyarn start:devNote: Docker setup is still a work in progress and does not offer a good developer experience. For now we recommend you to run the project locally following the instructions listed above. If you still want to use docker, here's how:
docker-compose up or docker-compose up -ddocker-compose downcypress.env.example.json and rename it to cypress.env.jsoncypress.env.json with valid user credentials (Username and password)[!WARNING] The data from the accound you set in
cypress.env.jsonwill be wiped out after the tests run. So, don't use your real account here!
To run E2E tests you have two options:
yarn test:cyyarn cy:openTo run the unit tests you have two options:
yarn test to run all the tests and collect the coverage report. Or;watch mode by running yarn test:watchThanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
$ claude mcp add brmodelo-app \
-- python -m otcore.mcp_server <graph>