Skip to content
MCP profile

Github Arpe Io Lakexpress Mcp

MCP server for LakeXpress — automated database-to-cloud data pipeline as Parquet

Data & AnalyticsPackagePythonOpen SourceExternal
Last updated
March 16, 2026
Visibility
Public
ByRegistry

About This MCP Server


MCP server for LakeXpress — automated database-to-cloud data pipeline as Parquet This MCP server enables AI assistants like Claude to seamlessly interact with Github Arpe Io Lakexpress, providing structured access to its functionality through the Model Context Protocol (MCP).

Key Capabilities:

  • Execute database queries and retrieve results
  • Manage database schemas and migrations
  • Monitor database performance and health
  • Handle data import/export operations

Common Use Cases:

  • Querying and analyzing data without writing raw SQL
  • Automating database maintenance tasks
  • Building data-driven applications with AI assistance
  • Monitoring and optimizing database performance

How It Works: Github Arpe Io Lakexpress integrates with AI coding assistants and chat interfaces through the standardized MCP protocol. Once configured, your AI assistant can directly invoke Github Arpe Io Lakexpress's tools, enabling natural language interaction with its features without manual API calls or custom integrations.

Technical Details: Server type: Package · Language: Python

Capabilities
List all supported source databaseslog databasesstorage backendspublishing targetscompression typesand available commands.

Why Use Github Arpe Io Lakexpress Mcp?

  • 14 subcommands supported: logdb management, config management, sync execution, status, and cleanup
  • 5 source databases: SQL Server, PostgreSQL, Oracle, MySQL, MariaDB
  • 6 log databases: SQL Server, PostgreSQL, MySQL, MariaDB, SQLite, DuckDB
  • 6 storage backends: Local, S3, S3-compatible, GCS, Azure ADLS Gen2, OneLake
  • 7 publish targets: Snowflake, Databricks, Fabric, BigQuery, MotherDuck, Glue, DuckLake
  • Command preview before execution with safety confirmation
  • Auth file validation
  • Workflow suggestions based on use case

Specifications

Status
live
Industry
Data & Analytics
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes

Requirements

  • pip install -e ".[dev]"

Hosting


Hosting Options

  • Package

API


Integrate this server into your application. Choose a connection method below.

1

Install

Install command
Python
pip install -e ".[dev]"
2

Configure

Configuration
json
{
  "mcpServers": {
    "lakexpress": {
      "command": "python",
      "args": ["-m", "src.server"],
      "cwd": "/path/to/lakexpress-mcp",
      "env": {
        "LAKEXPRESS_PATH": "/path/to/LakeXpress",
        "LAKEXPRESS_TIMEOUT": "3600",
        "LAKEXPRESS_LOG_DIR": "./logs",
        "FASTBCP_DIR_PATH": "/path/to/FastBCP/"
      }
    }
  }
}

Performance


Usage


Quick Reference


Name
Github Arpe Io Lakexpress Mcp
Function
MCP server for LakeXpress — automated database-to-cloud data pipeline as Parquet
Transport
Package
Language
Python
Install
pip install -e ".[dev]"
Source
External (Registry)
License
Open Source
Get started

Ready to integrate this MCP server?

Book a demo to see how this server fits your workflow, or explore the full catalog.

Related MCP Servers


Catalog Workspace

Discover agents, MCP servers, and skills in one governed surface

Use structured catalog views to compare readiness, ownership, integrations, and deployment posture before rollout.