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650,500 tools. Updated 2026-10-13 20:33

"pandas" matching MCP tools:

  • run_pandas_codeA

    mcp-pandasA

    Execute pandas code in a restricted sandbox, optionally preloading a CSV/Excel file, and return the result as structured records.
    MIT

  • load_data_sourceA

    sktime-mcpB

    Load time series data from pandas, files, SQL, or URLs into a data handle for forecasting. Choose synchronous or asynchronous execution.
    BSD 3-Clause

  • xlsx_filterA

    xlsx-for-aiA

    Filter rows in a local .xlsx file using AND-combined predicates (eq, contains, gt, etc.). Server-side formula evaluation returns accurate matching rows as a markdown table.
    MIT

  • fm_load_datasetA

    filemaker-mcpA

    Load FileMaker records into a named dataset for fast analytics. Fetch records once, store as pandas DataFrame, then run multiple analyses without extra database round trips.
    GPL 3.0

  • export_dataA

    OT-AIopsA

    Export collected OT samples from local SQLite to CSV, SQLite, or Parquet files with time, tag, and endpoint filters to enable offline analysis in Excel, Power BI, or pandas.
    MIT

Matching MCP Servers

  • mcp-pandas

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

Matching MCP Connectors

  • Stats CompassOAuth

    50+ pandas-powered tools for data loading, cleaning, visualization, and ML workflows

  • Panda Greetings

    Printed greeting cards: find designs with your message inside, then order on our site.

  • xlsx_stylesA

    xlsx-for-aiA

    Recover cell formatting (number formats, fonts, fills) discarded by pandas, enabling LLMs to interpret date serials, currency, and percentages correctly.
    MIT

  • xlsx_value_countsA

    xlsx-for-aiA

    Count unique values in a spreadsheet column, sorted by frequency with percentage. Shows distribution of categorical data in a markdown table.
    MIT

  • fm_analyzeA

    filemaker-mcpA

    Analyze FileMaker datasets with groupby, aggregation, filtering, pivoting, and time-series resampling. Returns compact summary tables instead of raw records.
    GPL 3.0

  • enaho_unir_modulosA

    enaho-mcpA

    Merge ENAHO modules at the desired level (household, person, or dwelling). Normalizes ID keys, reports row losses, and saves a parquet dataset with warnings for analysis.
    MIT

  • list_python_packagesA

    ascript-mcpA

    Check which Python third-party libraries are installed on the device before importing them in scripts. Lists packages available in the AScript App environment.
    MIT

  • xlsx_merged_cellsA

    xlsx-for-aiA

    Identify merged cell regions in Excel workbooks with master values, ranges, and layout heuristics to recover visual structure lost in pandas reads.
    MIT

  • search_sourcegraphA

    sourcegraph-mcpA

    Search code across your SourceGraph instance using text, patterns, or regular expressions. Filter by repository, file, language, and more for precise results.
    MIT

  • deriveA

    ExcelMCPA

    Compute net totals across transaction types in a single call by summing signed sums of a quantity column, with per-component breakdown and warnings for unmatched conditions.
    MIT

  • fetch_data_to_fileA

    nomis-mcpA

    Stream large query results to a CSV file instead of the reply, bypassing context limits and returning a path for analysis in R, DuckDB, or pandas.
    MIT

  • interpret_column_dataA

    mcp-pandasA

    Scans a CSV or Excel file to return the complete value distribution for specified columns, including dtype, null counts, and frequency counts sorted by most common.
    MIT

  • encode_export_dataA

    encode-toolkitA

    Export tracked ENCODE experiments as a CSV, TSV, or JSON table with metadata, publication counts, and PMIDs. Ideal for manuscripts, reports, and further literature analysis.
    AGPL 3.0

  • xlsx_aggregateA

    xlsx-for-aiA

    Group rows in a local .xlsx file by specified columns, then compute aggregations like sum, mean, count, or distinct count per group. Returns a markdown table of grouped results.
    MIT

  • xlsx_pivotA

    xlsx-for-aiA

    Reshape a flat table from a .xlsx file into a 2D matrix, aggregating values across index and columns. Choose from sum, mean, min, max, count, or count_distinct.
    MIT