Data Transform
Run shape, map, and normalize transforms through your agent while building APIs, webhooks, and ingestion paths without boilerplate script sprawl.
Overview
io.github.lazymac2x/data-transform is a MCP server for the Build phase that exposes hosted data transformation tools to your agent over streamable-http.
What is this MCP server?
- Hosted MCP at https://api.lazy-mac.com/data-transform/mcp (streamable-http)
- Cloudflare Workers data-transform service for agent-invoked conversions
- Server schema 2025-09-29, package version 1.0.0
- API repository: github.com/lazymac2x/data-transform-api
- Supports agent-led ETL-style steps during backend and integration coding
- Manifest version 1.0.0
- 1 remote MCP endpoint (streamable-http)
- Workers-hosted API on lazy-mac.com
What problem does it solve?
Ad-hoc data mapping scripts multiply when you are one person integrating messy payloads into a clean backend model.
Who is it for?
Indie SaaS builders wiring imports, webhooks, or multi-source analytics who want transform steps callable from the agent during backend work.
Skip if: Data teams running governed warehouse pipelines that need lineage, SLAs, and on-cluster Spark or BigQuery jobs without external HTTP deps.
What do I get? / Deliverables
Your agent can call data-transform via MCP to apply conversions and structure changes while you implement APIs and persistence.
- Repeatable transform operations your agent can call during implementation
- Cleaner mapping between external formats and your application schema
- Less throwaway scripting while iterating ingestion endpoints
Recommended MCP Servers
Journey fit
Data transformation is core backend work when you connect third-party payloads to your schema during the build phase. Backend is the canonical shelf because transforms sit between raw inputs and your application models, not in launch SEO or operate incident queues.
How it compares
Focused transform MCP API, not a full ETL platform like Airbyte or Fivetran.
Common Questions / FAQ
Who is io.github.lazymac2x/data-transform for?
Solo developers and agent users building backends that must normalize or reshape external data before it hits the database or analytics layer.
When should I use io.github.lazymac2x/data-transform?
Use it during backend build-out when you are mapping vendor JSON, cleaning uploads, or prototyping pipeline steps with agent assistance.
How do I add io.github.lazymac2x/data-transform to my agent?
Configure the remote MCP URL https://api.lazy-mac.com/data-transform/mcp with streamable-http transport in your agent client, then invoke tools from chat or Composer.