Skip to main content
Glama
tetracoralla

data-transformer

by tetracoralla

Related Servers

Alternatives to data-transformer

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Detects schema mismatches between data producers and consumers through static analysis, supporting extraction, comparison, code generation, and automated validation with watch mode for MCP tools, APIs, and service contracts.
      11
      14
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides deterministic tools for understanding, transforming, and verifying structured data via MCP, enabling rule inference from examples and verification of transformed records.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables reading, normalizing, validating, merging, and exporting data from Excel, CSV, JSON, and SQLite sources into a unified schema, with tools exposed via FastMCP.
      1
      -
    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables orchestrating data quality checks, transformation, and deduplication pipelines via an MCP interface. Offers tools for listing pipeline stages, validating wiring, running the full check-transform-match pipeline, and explaining configurations.
      MIT
    • -
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables validation, diff generation, and backend population for Synesthetic assets using schema-compliant resources and tools. Serves as an MCP adapter that enforces schema compliance and integrates with the Synesthetic asset generation pipeline.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables exploring and querying structured data (JSON, JSONL, CSV, TSV) via shape, read, find, and diff operations, with bounded resource usage.
      MIT

    TDQS

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool occupies a cleanly separated role: observe (inspect), modify (transform), check (validate), and compare (diff). The overlap risk between transform and validate is explicitly addressed with cross-references steering agents to the right tool. No ambiguity remains after reading the descriptions.

    Naming Consistency5/5

    All tools follow the exact data_<verb> pattern in snake_case with uniform imperative verbs: transform, inspect, validate, diff. The convention is fully predictable with zero deviation.

    Tool Count5/5

    At 4 tools, the surface is tightly scoped with no bloat, comfortably within the ideal range for a focused data utility. Every tool earns its place within the read/validate/write/compare lifecycle.

    Completeness4/5

    Core workflows are fully covered: reading, transforming/writing output, validating, and diffing data, with output paths already handled by the transform tool. Minor gaps like an explicit export/delete or data source listing tool prevent a perfect score, but agents can accomplish all primary tasks.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues