Transform CSV and JSON data using declarative YAML rules without writing code. For developers who need to reshape, filter, or enrich datasets as part of AI workflows or data pipelines.
io.github.vinhphatfsg/rulemorph-mcp
Local install
STDIO
No auth required
How models use it and what it is built for.
Transform CSV and JSON data using declarative YAML rules without writing code. For developers who need to reshape, filter, or enrich datasets as part of AI workflows or data pipelines.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Rulemorph.
Paste any of these into Agent Studio after connecting Rulemorph.
Common questions about connecting and running Rulemorph.
What data formats does rulemorph-mcp support?
The server supports CSV and JSON data transformation. You define transformations using YAML rules that specify how to reshape, filter, rename, or enrich your data.
Do I need to write code to use this MCP server?
No. You define transformations declaratively in YAML rules rather than writing imperative code. The server handles parsing and applying the rules to your data.
Can I chain multiple transformation rules together?
Yes, you can apply multiple YAML rules sequentially to transform data through a pipeline. Refer to the GitHub repository documentation for rule composition examples.
What platforms does rulemorph-mcp run on?
The v0.2.2 release includes a prebuilt binary for aarch64 Apple Darwin (M1/M2 Macs). Check the GitHub releases page for other platform builds or build from source.
Where can I find documentation on YAML rule syntax?
The official repository at github.com/vinhphatfsg/rulemorph contains documentation and examples. Start there to learn the rule schema and transformation capabilities.
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