Skip to main content
Glama
Gakuji3

csv-analyzer-mcp

by Gakuji3
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

Related Servers

Alternatives to csv-analyzer-mcp

No user-submitted related servers found.

    Related Servers

    • mcp-server

      laurensanp
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI models to interact with local CSV and Parquet data through MCP tools, providing summarization and analysis capabilities.
      1
      -

    • mcp-csv-analyst

      seraphinerenard
      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
      -

    • Dataset Explorer MCP Server

      khanarmaghanrasheed-18
      F
      license
      B
      quality
      B
      maintenance
      Enables AI clients to explore and analyze CSV datasets via tools for dataset overview, statistical summaries, missing value analysis, duplicate detection, correlation analysis, and outlier detection.
      9
      -

    • csvql

      melihbirim
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to run SQL analytics directly on CSV files in place via MCP, avoiding imports and token-heavy data pasting. It provides read-only querying, schema inspection, and file listing while keeping data local.
      28
      MIT

    • mcp-data-summary

      Geyo33
      F
      license
      A
      quality
      D
      maintenance
      Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.
      10
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.6/5.0

    Scored across 2 tools

    Disambiguation2/5

    Both tools operate on the same CSV file and return overlapping information such as row count, column names, column types, and missing values. get_csv_summary is essentially a subset of analyze_csv, so an agent could easily select the wrong one despite the output format difference.

    Naming Consistency5/5

    Both tool names follow a consistent verb_noun snake_case pattern: analyze_csv and get_csv_summary. The naming style is uniform and predictable.

    Tool Count3/5

    Two tools is borderline for a CSV analyzer server. The count is not extreme, but the tools are highly redundant, which makes the set feel thin and not fully justified.

    Completeness4/5

    The core CSV analysis need is covered through basic statistics and a JSON summary. Minor gaps exist, such as no raw data preview or per-column analysis controls, but agents can work around these for typical summary tasks.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources