Configs

6 MCP servers — jupyter: Create, edit, and execute Jupyter notebook cells. Manage kernels and inspect outputs.; sqlite: Query SQLite databases for local data exploration, schema inspection, and ad-hoc analytics.; postgres: Query the data warehouse for production analytics, reporting, and data validation.; filesystem: Read CSV, Parquet, and JSON data files. Write processed outputs and reports.; fetch: Fetch datasets from public APIs, download documentation, and access data catalogs. (+1 more)

7 MCP servers — filesystem: Read, write, and manage project files and directories.; github: Manage repositories, issues, PRs, branches, and releases on GitHub.; postgres: Query PostgreSQL databases, inspect schemas, and run SQL statements.; redis: Interact with Redis for cache inspection, key management, and pub/sub.; puppeteer: Browser automation for testing UI, taking screenshots, and verifying rendered output. (+2 more)

14 MCP servers — filesystem: Read, write, and manage files and directories. Replace /path/to/project with your actual project root.; github: Create issues, PRs, read repositories, manage branches and releases on GitHub.; postgres: Query PostgreSQL databases, inspect schemas, run read-only or read-write SQL.; redis: Interact with Redis: get/set keys, inspect data structures, manage cache.; docker: Manage Docker containers, images, volumes, and networks. (+9 more)