Arpeio Mcp
Let your agent preview and drive Arpe.io bulk copy, lake transfer, and migration tools from one PyPI MCP server.
Overview
Arpe.io MCP is a MCP server for the Operate phase that exposes FastBCP, FastTransfer, LakeXpress, and MigratorXpress data movement tools to your agent over stdio.
What is this MCP server?
- Arpe.io MCP v0.1.1 on PyPI (identifier arpeio-mcp) with stdio transport
- Four tool families: FastBCP, FastTransfer, LakeXpress, MigratorXpress
- Optional env paths per binary; preview-only mode for FastBCP without local install
- LOG_LEVEL env for DEBUG, INFO, WARNING, ERROR (default INFO)
- Repository github.com/arpe-io/arpeio-mcp
- Package version 0.1.1 on PyPI
- Four named Arpe.io tool integrations in server description
- Five optional environment variables including LOG_LEVEL default INFO
What problem does it solve?
Bulk database and lake transfers are error-prone when your agent cannot see Arpe.io tool previews or paths from the IDE.
Who is it for?
Indie data engineers and solo SaaS operators already using Arpe.io binaries who want MCP-driven previews and migration steps.
Skip if: Greenfield apps with no SQL Server, lake, or bulk-load requirements.
What do I get? / Deliverables
After PyPI install and path configuration, your agent can orchestrate Arpe.io copy, transfer, lake, and migration operations with consistent logging.
- Installed arpeio-mcp stdio server with configured LOG_LEVEL
- Agent access to four Arpe.io movement tool families with optional full binary execution
Recommended MCP Servers
Journey fit
How it compares
Arpe.io data-movement MCP, not a general SQL schema design skill.
Common Questions / FAQ
Who is Arpe.io MCP for?
Builders running Arpe.io FastBCP, FastTransfer, LakeXpress, or MigratorXpress who want those tools callable from Claude Code, Cursor, or similar MCP clients.
When should I use Arpe.io MCP?
Use it during Operate infra work—bulk loads, lake transfers, and migrations—and during Build when you are wiring ETL that will later run in production.
How do I add Arpe.io MCP to my agent?
Install arpeio-mcp from PyPI, set stdio MCP config, optionally point FASTBCP_PATH and sibling env vars at local binaries, and restart your client.