Skip to main content
Glama

cognee-mcp

test_s3_file_storage.yml1.32 kB
name: test | s3 file storage on: workflow_call: permissions: contents: read jobs: test-gemini: name: Run S3 File Storage Test runs-on: ubuntu-22.04 steps: - name: Check out repository uses: actions/checkout@v4 - name: Cognee Setup uses: ./.github/actions/cognee_setup with: python-version: '3.11.x' - name: Run S3 File Storage Test env: STORAGE_BACKEND: s3 ENABLE_BACKEND_ACCESS_CONTROL: True AWS_REGION: eu-west-1 AWS_ENDPOINT_URL: https://s3-eu-west-1.amazonaws.com AWS_ACCESS_KEY_ID: ${{ secrets.AWS_S3_DEV_USER_KEY_ID }} AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_S3_DEV_USER_SECRET_KEY }} STORAGE_BUCKET_NAME: github-runner-cognee-tests LLM_MODEL: ${{ secrets.LLM_MODEL }} LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} LLM_API_KEY: ${{ secrets.LLM_API_KEY }} LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} run: uv run python ./cognee/tests/test_s3_file_storage.py

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/topoteretes/cognee'

If you have feedback or need assistance with the MCP directory API, please join our Discord server