Skip to main content
Glama

Related Servers

Alternatives to csv-explorer-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      Not graded
      maintenance
      An MCP server that enables AI assistants to load, query, and analyze local CSV files using tools for filtering, aggregation, and grouping. It provides capabilities to describe schemas, calculate statistics, and sample data directly from CSV files.
      6
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that enables the analysis of CSV and Parquet files by providing tools for statistical summaries, data previews, and structure exploration. It allows users to query local datasets and create sample data using natural language.
      -
    • F
      license
      A
      quality
      D
      maintenance
      An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.
      3
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Zero-dependency MCP server and CLI for token-efficient inspection of local CSV/JSON/JSONL files, providing schema, samples, and paginated filtered queries to AI agents.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that provides AI assistants with structured, type-safe access to tabular datasets from CSV files. It enables users to list, describe, and query data using filters and projections with support for hot reloading.
      119 npm
      MIT

    TDQS

    A3.5/5.0

    Scored across 12 tools

    Disambiguation4/5

    Tools are largely distinct with clear purposes. csv_search and csv_filter both retrieve matching records but differ in query syntax (regex vs expression), which could cause some initial confusion. csv_inspect and csv_schema provide different levels of overview, but descriptions clarify the difference.

    Naming Consistency4/5

    All tools share the csv_ prefix and snake_case, creating a recognizable family. However, naming style is inconsistent: some use verbs (csv_filter, csv_validate), some nouns (csv_schema, csv_stats), and some adjective_noun (csv_large_fields). This slight inconsistency prevents a perfect score.

    Tool Count5/5

    At 12 tools, the count is well-suited to the server's purpose of comprehensive CSV exploration. Each tool addresses a distinct aspect, and the count is neither sparse nor bloated.

    Completeness4/5

    The tool set covers the core lifecycle of CSV analysis: inspection, sampling, schema, stats, search/filter, validation, monitoring, diffing, and handling large fields. Minor gaps include lack of sorting or column manipulation, but these are beyond the apparent scope.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues