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Export database data to Parquet and manage sync and data lake publishing.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LakeXpress MCP Server" yet — see the docs or source repo.
Use LakeXpress to export the sales_orders and customers tables from the specified database into Parquet files, partitioned by date and written to the data lake directory.
A completed export result with Parquet output paths, partition details, and execution status.
Create an incremental sync job for the order_events table using the updated_at field, schedule it to sync to the data lake, and return a configuration summary.
A sync job configuration including the incremental field, schedule, target location, and job status.
Use LakeXpress to publish the crm_contacts dataset to the data lake, check sync status, and report whether publishing succeeded along with relevant metadata.
A publishing result with sync status, target dataset details, and a success or failure summary.
Securely connect to and operate MySQL databases through the MCP protocol.
Access, inspect, and work with Apache Parquet data files efficiently.
Safely explore, profile, and query SQLite and PostgreSQL databases with AI.
Connect to PostgreSQL and MySQL, run SQL, and manage database transactions.
Connect to Parse Server via MCP for CRUD, security, schemas, and cloud functions.
Query structured data in natural language without needing SQL or API expertise.