Skip to main content
Glama
Soham-Donode

data-analysis-agent

by Soham-Donode
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

Related Servers

Alternatives to data-analysis-agent

No user-submitted related servers found.

    Related Servers

    • data-analysis-mcp

      BACH-AI-Tools
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables data analysis and visualization operations such as loading CSV/Excel/JSON files, computing summary statistics, generating charts, and exploring datasets via SSE/HTTP.
      MIT

    • data-profiler-mcp

      haiiibin
      A
      license
      A
      quality
      A
      maintenance
      Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.
      7
      45 PyPI
      2
      MIT

    • mcp-pandas

      devantage
      A
      license
      A
      quality
      B
      maintenance
      Enables data analysis on CSV/Excel files using pandas. Supports profiling, column interpretation, sandboxed code execution, and interactive chart generation.
      4
      1
      MIT

    • llm-analytics-mcp

      Kirill-FD
      F
      license
      Not graded
      quality
      C
      maintenance
      Enables LLM clients to load, clean, visualize, and analyze tabular datasets, and to generate multi-format analytic reports through natural language instructions.
      -

    • dataHill

      Hillyess
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables interactive data analysis using a real IPython kernel with session management, supporting CSV/Excel/JSON loading, code execution, and variable monitoring.
      159
      -
    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

    B3.4/5.0

    Scored across 22 tools

    Disambiguation4/5

    Most tools have distinct read vs. mutate roles, and analysis tools target different operations. However, get_dataset_info and describe_dataset overlap in reporting missing values, and compute_statistic largely duplicates portions of describe_dataset, which could cause some misselection.

    Naming Consistency4/5

    The naming is predominantly verb_noun and easy to follow, such as load_dataset, drop_column, and create_visualization. A few tools like frequency_analysis, correlation_analysis, and group_analysis break the imperative pattern by using noun_analysis instead of a verb construction.

    Tool Count3/5

    At 22 tools, the server provides broad coverage but feels somewhat heavy for a data analysis agent. The count is justified by the range of cleaning, statistical, and visualization operations, yet several tools overlap closely enough that the surface could be trimmed to around 15-18 tools.

    Completeness3/5

    The server covers loading, session management, cleaning, statistics, and visualization well, but has notable gaps for common data analysis tasks like row filtering, sorting, adding/deriving columns, joining datasets, or reshaping. These missing operations will require agents to work around the tool surface or fail on common requests.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources