Skip to main content
Glama
gdavos007

Statistical Testing MCP Server

by gdavos007
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to Statistical Testing MCP Server

No user-submitted related servers found.

    Related Servers

    • dataloupe

      aurelio-nakamura
      A
      license
      A
      quality
      A
      maintenance
      Offline MCP server that queries CSV, Parquet, Excel, and JSON files and generates self-contained interactive HTML reports with reproducible provenance. Built and maintained by an AI agent.
      7
      8 npm
      2
      MIT

    • Zaia

      prithivrajmu
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that exposes SQLite datasets as queryable tools and resources via Streamable HTTP, enabling read-only exploration and SQL queries.
      Apache 2.0

    • MCP DataFrame QA

      sindhug
      A
      license
      B
      quality
      A
      maintenance
      A research-informed MCP server that enables natural language question answering over local dataframes (CSV, Parquet, or Pandas) with safe, read-only execution and typed analysis plans.
      3
      MIT

    • sql-explorer-mcp

      govern-agents
      A
      license
      Not graded
      quality
      F
      maintenance
      Read-only MCP server for SQL databases (SQL Server, Postgres, SQLite) with multi-server support and three-layer safety using AST validation and linting.
      MIT

    • MCP Data Analysis Agent

      SomanGaurav
      F
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that answers natural-language questions over CSV, Excel, and SQL data by providing deterministic tools for loading, profiling, querying, cleaning, statistical analysis, visualization, and reporting. It enables LLMs to plan and interpret while all computation is done exactly through MCP tools.
      -
    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

    A4.3/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing tables, profiling a table, and running a statistical test. No overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case: list_tables, profile_table, run_test.

    Tool Count4/5

    3 tools is a reasonable number for a focused statistical testing server, though slightly minimal. No unnecessary tools.

    Completeness3/5

    Covers table discovery, profiling, and two statistical tests, but lacks broader test selection (e.g., ANOVA, chi-squared) and column metadata retrieval.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources